Applied computing Books

Book SynopsisThis open access book provides researchers and professionals with a foundational understanding of online privacy as well as insight into the socio-technical privacy issues that are most pertinent to modern information systems, covering several modern topics (e.g., privacy in social media, IoT) and underexplored areas (e.g., privacy accessibility, privacy for vulnerable populations, cross-cultural privacy). The book is structured in four parts, which follow after an introduction to privacy on both a technical and social level: Privacy Theory and Methods covers a range of theoretical lenses through which one can view the concept of privacy. The chapters in this part relate to modern privacy phenomena, thus emphasizing its relevance to our digital, networked lives. Next, Domains covers a number of areas in which privacy concerns and implications are particularly salient, including among others social media, healthcare, smart cities, wearable IT, and trackers. The Audiences section then highlights audiences that have traditionally been ignored when creating privacy-preserving experiences: people from other (non-Western) cultures, people with accessibility needs, adolescents, and people who are underrepresented in terms of their race, class, gender or sexual identity, religion or some combination. Finally, the chapters in Moving Forward outline approaches to privacy that move beyond one-size-fits-all solutions, explore ethical considerations, and describe the regulatory landscape that governs privacy through laws and policies. Perhaps even more so than the other chapters in this book, these chapters are forward-looking by using current personalized, ethical and legal approaches as a starting point for re-conceptualizations of privacy to serve the modern technological landscape. The book’s primary goal is to inform IT students, researchers, and professionals about both the fundamentals of online privacy and the issues that are most pertinent to modern information systems. Lecturers or teachers can assign (parts of) the book for a “professional issues” course. IT professionals may select chapters covering domains and audiences relevant to their field of work, as well as the Moving Forward chapters that cover ethical and legal aspects. Academics who are interested in studying privacy or privacy-related topics will find a broad introduction in both technical and social aspects.Table of Contents1. Introduction and Overview.- Part I: Privacy Theory and Methods.- 2. Privacy Theories and Frameworks.- 3. Revisiting APCO.- 4. Privacy and Behavioral Economics.- 5. The Development of Privacy Norms.- 6. Privacy Beyond the Individual Level.- Part II: Domains.- 7. Social Media and Privacy.- 8. Privacy-Enhancing Technologies.- 9. Tracking and Personalization.- 10. Healthcare Privacy.- 11. Privacy and the Internet of Things.- Part III: Audiences.- 12. Cross-Cultural Privacy Differences.- 13. Accessible Privacy.- 14. Privacy in Adolescence.- 15. Privacy and Vulnerable Populations.- Part IV: Moving Forward.- 16. User-Tailored Privacy.- 17. The Ethics of Privacy in Research and Design: Principles, Practices, and Potential.- 18. EU GDPR: Toward a Regulatory Initiative for Deploying a Private Digital Era.- 19. Reflections: Bringing Privacy to Practice.

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Book SynopsisThe topics in this book cover a broad range of research interests: from business engineering and its application in corporate and business networking contexts to design science research as well as applied topics, where those research methods have been employed for modeling, data warehousing, information systems management, enterprise architecture management, management of large and complex projects, and enterprise transformation. The book is a Festschrift for Robert Winter in order to appreciate his work and to honor him as a personality with a high reputation in the information systems community. To this end, many professional colleagues or long-time companions both from the Institute of Information Management at the University of St. Gallen as well as from the international research community dedicated articles on topics related to Robert’s research. They reflect his ambition to uncompromisingly conduct high-class research that fuels the research community and at the same time contributes to improved industrial practice. The book is organized in three major parts: Part I “Business Engineering and Beyond” focuses on the methodology strongly shaped by Robert in St. Gallen with a focus on research being applied in corporate contexts. Part II “Design Science Research” spans from reflections on the practice of design science research to perspectives on design science research methodologies and eventually up to considerations to teach design science research methodology. Part III “Applied Fields” combines various applications of design science and related research methodologies with practical problems and future research topics. Table of ContentsPart I: Business Engineering and Beyond.- From Business Engineering to Life Engineering.- Management of Artificial Intelligence: Feasibility, Desirability and Viability.- How Fair Is IS Research?.- From Business Engineering to Digital Engineering: The Role of Metamodeling in Digital Transformation.- From Business Engineering to Digital Engineering: The Role of Metamodeling in Digital Transformation.- On Model-Based Coordination of Change in Organizations.- Part II: Design Science Research.- Reflections on the Practice of Design Science in Information Systems.- Design Science Research of High Practical Relevance.- Design Pattern as a Bridge Between Problem-Space and Solution-Space.- Incremental Accumulation of Information Systems Design Theory.- Assessing the Temporal Validity of Design Knowledge.- Pedagogy for Doctoral Seminars in Design Science Research.- Part III: Applied Fields.- Management of Enterprise-Wide Information Systems.- The Competence Center Health Network Engineering: A Retrospective.- A Research Agenda for Studying Platform Ecosystems.- A Concept for an IT-Supported Integrated Earnings and Risk Management to Strengthen the Resilience of Companies in Times of Crisis.- Data Vault as a Modeling Concept for the Data Warehouse.- Evaluating a Forward-Looking Maturity Model for Enterprise Performance Management.- The Evolution of IT Management Standards in Digital Transformation: Current Status and Research Implications.- Towards Conscious Enterprises: The Role of Enterprise Engineering in Realizing Living Sciences Paradigms into Management Sciences.- Digital Resilience to Normal Accidents in High-Reliability Organizations.- Mind the Gap: Why There Is a Gap Between Information Systems Research and Practice, and How to Manage It.- The Connection Between Winter and Information Systems.

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Book SynopsisThis book constitutes the refereed proceedings of the 21st International TRIZ Future Conference on Automated Invention for Smart Industries, TFC 2021, held virtually in September 2021 and sponsored by IFIP WG 5.4. The 28 full papers and 8 short papers presented were carefully reviewed and selected from 48 submissions. They are organized in the following thematic sections: inventiveness and TRIZ for sustainable development; TRIZ, intellectual property and smart technologies; TRIZ: expansion in breadth and depth; TRIZ, data processing and artificial intelligence; and TRIZ use and divulgation for engineering design and beyond. Chapter ‘Domain Analysis with TRIZ to Define an Effective “Design for Excellence’ is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.Table of ContentsInventiveness and TRIZ for Sustainable Development.- An ideality-based map to describe sustainable design initiatives.- Sustainable digitalization: a systematic literature review to identify how to make digitalization more sustainable.- Nature-Inspired Principles for Sustainable Process Design in Chemical Engineering.- Comparative Analysis of Methods for Identifying Opportunities for Reusing Solid Waste.- TRIZ Evolution Trend-based Public Service Innovation for Enhancing Social Participation of Life Garbage Classification.- Concept Design of Appropriate Technology Based on Circular Economy for Sustainable Development Inferred from Korea Traditional Heating System.- Sustainability in yacht and vessel design through smart spaces: opportunities offered by digital technologies and new materiality.- Hybrid heat pump systems as a possible solution for the energy transition towards sustainable heating systems for buildings.- TRIZ, Intellectual Property and Smart Technologies.- Identifying new application fields of a given technology.- Extraction and Modeling of Chinese Patent Information for Technical Advancement Evaluation.- Concept extraction based on semantic models using big amount of patents and scientific publications data.- Automatic extraction of potentially contradictory parameters from specific field patent texts.- Patent specialization for deep learning information retrieval algorithms.- Patent Data Driven Innovation Logic: Textual pattern exploration to identify innovation logic data.- Patent intelligence analysis to support technology roadmap on the sector of renewable energy.- TRIZ: Expansion in Breadth and Depth.- Matrix 2022: Re-Imagining The Contradiction Matrix.- Improving the construction of RCA+ contradiction trees.- Indicating and assessing quality criteria for cause-effect models.- Application of an FMEA based method to prioritize the initial problem choices in Inventive Design.- TRIZ Application for Digital Product Design & Management.- A reasoned evolutionary study on the actual design of farm tractors.- TRIZ contradiction modelling in family business succession process management: quantitative approach with an application of Grey Incidence Analysis.- A pioneering project on laser pyrolysis based entirely on TRIZ.- TRIZ, Data Processing and Artificial Intelligence.- Element Variation Innovation Thinking: A method of simplifying and reorganizing TRIZ.- Method for formulation, selection and application of elementary TRIZ inventive principles for automated idea generation.- Replicating TRIZ Reasoning through Deep Learning.- Bringing together engineering problems and basic science knowledge, one step closer to systematic invention.- TRIZ Use and Divulgation for Engineering Design and Beyond.- Triz-based Remodelling of Multiple True-False Questions.- Pedagogical approaches and course modality affecting students’ self-efficacy and problem-solving attitudes in a TRIZ-oriented course.- Facilitation of a creative culture through the implementation and initial evaluation of a TRIZ course within an organization.- Main Parameters of Value (MPV) Analysis: Where MPV Candidates Come From.- A global approach to point out priority problems out of experts’ qualitative data.- Integrated Use of TRIZ Tools in Systematic Conceptual Design.- Domain analysis with TRIZ to define an effective “design for excellence” framework.- The Efficient Work with Resources in TRIZ - Resource-Oriented Search (ROS).- Solution Concept Modeling and Evaluation Based on Function- Structure and Behavior Approach in the Context of Inventive Design.

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Book SynopsisThis book provides a sound theoretical base and an extensive practical expansion of smart sustainable cities and societies, while also examining case studies in the area to help readers understand IoT driven solutions in smart cities. The book covers fundamentals, applications, and challenges of IoT for sustainable smart cities and society. With a good understanding of IoT and smart cities, and the associated communication protocols, the book provides an insight into its applications in several areas of smart cities. Models, architectures, and algorithms are presented that provide additional solutions. The main challenges discussed that are associated with IoT involved include security, privacy, authenticity, etc. The book is relevant to researchers, academics, professionals, and students.Trade Review“IoT for sustainable smart cities and society joins a growing body of knowledge that provides fresh insights … . It consists of 14 chapters, with research and case studies on IoT and related technologies applied to the real-world problems. A preface provides a gentle introduction to each. … Readers interested in policy and planning for a country to move toward a human centered smart society, called society 5.0 in japan, should read … .” (Ernest Hughes, Computing Reviews, February 28, 2023)Table of Contents1. Role of Machine Learning and Deep Learning in Internet of Things Tarana singh, Arun Solanki, Sanjay Kumar Sharma 2. Understanding New Age of Intelligent Video Surveillance and Deeper Analysis on Deep Learning Techniques for Object Tracking Preeti Nagrath, Narina Thakur, Rachna Jain, Dharmender Saini, Nitika Sharma, Jude Hemanth 3. Tech to TakeCare: IoT based Smart Solution for Real Time Supervision Srishti Sharma, Virendra Pratap Singh 4. IoT in Healthcare – A 360 degree View Rishika Mehta, Kavita Khannaa, Jyoti Sahni5. Industrial IoT Applications Jyotsana Grover6. An Interactive Analysis Platform for Bus Movement: A Case Study of One of the World’s Largest Annual Gathering. Emad Felemban, Faizan Ur Rehman7. Vehicle Payload Monitoring System Nishant Yadav, Nishita yadav, Dr. Anjali Garg8. Implementation and Comparison of MQTT and CoAP Protocols for Smart Home Application in Node-RED Simran Kaur, Vandana Khanna 9. Comparative Study of Static and Hybrid Analysis using Machine Learning and Artificial Intelligence in Smart Cities Shagil Chaudhary, Ramesh Amgai, Shouvik Das Gupta, Nida Iftekhar, Sherin Zafar, Anil Kumar Mahto 10. Automated Weather Monitoring Station Based on IOT for Smart Cities Shaifali Madan, Mishti Gautam 11. Energy Harvesting for sustainability Paru. l Agarwal, M. Afshar Alam, Sheikh Mohammad Idrees, Ajay Vikram Singh, Joel J.P. C. Rodrigues 12. A Review of Machine Learning Models in Renewable Energy Anuj Gupta, Kapil Gupta, Sumit Saroha 13. Security and Privacy Issues in IoT enabled Smart Cities Aditya Sam Koshy, Nida Fatima, Parul Agarwal, Joel J.P. C. Rodrigues14. Efficacy of Bio-Absorbent Concept in Textile Effluent Treatment Technology Using Low-Cost Materials by implementing Banna bark and Orange Peel Arivoli. A, Agnello J. Naveen

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Book SynopsisThis book constitutes the refereed proceedings of the 23rd International Conference on Asia-Pacific Digital Libraries, ICADL 2021, which was held in December 2021. Due to COVID-19 pandemic the conference was held virtually.The 17 full, 14 short, and 5 practice papers presented in this volume were carefully reviewed and selected from 87 submissions. The papers were organized in topical sections named: Knowledge Discovery from Digital Collections; Search for Better User Experience; Information Extraction; Multimedia; Text Classification and Matching; Data Infrastructure for Digital Libraries; Data Modeling; Neural-based Learning.

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Book SynopsisThis book constitutes the refereed proceedings of the Third International Meeting on Innovation for Systems Information and Decision, INSID 2021, which was held during December 1-3, 2021. The conference was initially planned to take place in Recife, Brazil, but changed to a virtual meeting due to the COVID-19 pandemic. The 9 full papers presented in this volume were carefully reviewed and selected from a total of 76 submissions. They reflect methodological improvements and advances in multi-criteria decision-making/multi-criteria decision-aid (MCDM/MCDA) oriented toward real-world applications, which contribute to the understanding of relevant developments of current research on and future trends of innovation for systems information and decision. Table of ContentsFITradeoff Based Analysis of Cultural Tourism Products Regarding Post-Industrial Heritage in Czeladź Commune in Poland.- The worth of cardinal information in MCDM – a guide to selecting weight-generating functions.- Efficiency of competitiveness evaluation of medium-lift launch vehicle (MLV) using integrated DEA-TOPSIS model.- Japanese port alliance: Cooperative game theory analysis.- Improving the Elicitation Process for Intra-criterion Evaluation in the FITradeoff Method.- Manufacturing Execution System Selection by Use of Multicriteria Partial Information Method.- Incorporating Hierarchical Criteria Structure in the FITradeoff Method.- A user interface for consistent AHP pairwise comparisons.- A Problem Structuring Multimethodology to Support a Post-graduation Course on Implant Dentistry.

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Book SynopsisThis book bridges the gap between knowledge management and technology. It embraces the complete lifecycle of knowledge, information, and data from how knowledge flows through an organization to how end users want to handle it and experience it. Whether your intent is to design and implement a single technology or a complete collection of KM systems, this book provides the foundations necessary for success. It will help you understand your organization’s needs and opportunities, strategize and prioritize features and functions, design with the end user in mind, and finally build a system that your users will embrace and which will realize meaningful business value for your organization. The book is the culmination of the authors’ collective careers, a combined sixty years of experience doing exactly what is detailed in this book. Their guidance has been honed by their own successes and failures as well as many others they have researched in order to provide a comprehensive study on KM transformations and the technologies that help to enable them. They have successfully applied this knowledge as the founders and leaders of the world’s largest dedicated knowledge management consultancy, which runs these projects for many of the world’s most complex organizations. They are writing as practitioners directly to other practitioners with the intent to enable them to apply and benefit from their knowledge and experience.“Compelling reading for KM practitioners looking to ensure their technology decisions support their business and organizational objectives.” - Margot Brown, Director of Knowledge Management, World Bank Group "We are two years into our KM Transformation and if I’d had this book beforehand, it would have made the journey smoother and faster! This is a great playbook for how to plan, organize, and execute a KM transformation." - Stephanie Hill, Senior Director, Global Customer Services, PayPalTrade Review“This book … spans the crevasse between KM and IT and does so with considerable flair. … this is a very good overview of the importance of integrating KM and IT and should be on the desktop of all KM managers, especially in larger organisations with complex IT infrastructures. The experience of the authors is evident throughout and they write in an engaging style which makes for a very readable book.” (Martin White, intranetfocus.com, June 30, 2022)Table of Contents1. Knowledge Management Primer.- Part I: Knowledge Management Transformation Strategy and Planning.- 2. Assessing Your Organization’s KM Strengths and Weaknesses (Current State).- 3. Understanding Your Organization’s Future KM Needs (Target State).- 4. Creating the Target State Vision.- 5. Getting from Here to There (KM Transformation Roadmap).- Part II: Understanding KM Systems.- 6. Content Management Solutions.- 7. Collaboration Suites.- 8. Learning Management Systems.- 9. Enterprise Search.- 10. Taxonomy Management.- 11. Data Catalogs and Governance Tools.- 12. Text Analytics Tools.- 13. Graph Databases.- 14. KM as a Foundation for Enterprise Artificial Intelligence.- 15. Integration Patterns for KM Systems.- Part III: Running a KM Systems Project.- 16. Project Phases.- 17. Common KMS Project Challenges and Mistakes.- 18. Foundational Design Elements.- 19. Content.- 20. Operations and Iterative Improvements.- 21. Envisioning Success: Putting KM Solutions and Outcomes Together.

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Book SynopsisModern business relies heavily on information technology. This book presents a new “always-on” business model for the digital age, one based on three interrelated components: a business model, an IT capability model, and an always-on information system model. In addition, it develops an implementation framework for the new model by identifying business-critical continuous computing information technologies as implementation drivers.The model proposed in this book reveals the critical role of business continuity management in ensuring business continuity even when operations are unaffected by any disasters. Using empirical survey data, PLS-SEM (Partial Least Squares - Structural Equation Modeling) combined with mediation analysis are used to test the model and hypotheses.The book is chiefly intended for students in Business Administration/Management degree programs and business leaders whose work involves addressing issues such as organizational performance, IT capability, enterprise information systems, IT management, business continuity management, disaster recovery management, risk management, IT auditing, and compliance. Table of ContentsChapter 1. Introduction.- Chapter 2. Digital Age, Business Strategy, and Firm's Performance.- Chapter 3. Downtime and Business Continuity.- Chapter 4. BCM, DRP - Compliance in Practice.- Chapter 5. Master Contingency Plans and IT Auditing.- Chapter 6. Business Models and The Concept of Always-On Business.- Chapter 7. BCM, BCP, IT Capability: A Framework for Always-On Business.- Chapter 8. Empirical Research.

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Book SynopsisThis book is composed by the papers written in English and accepted for presentation and discussion at The 2022 International Conference on Information Technology & Systems (ICITS'22), held at Tecnológico de Costa Rica, in San Carlos, Costa Rica, between the 9th and the 11th of February 2022.ICIST is a global forum for researchers and practitioners to present and discuss recent findings and innovations, current trends, professional experiences and challenges of modern information technology and systems research, together with their technological development and applications.The main topics covered are: information and knowledge management; organizational models and information systems; software and systems modelling; software systems, architectures, applications and tools; multimedia systems and applications; computer networks, mobility and pervasive systems; intelligent and decision support systems; big data analytics and applications; human–computer interaction; ethics, computers & security; health informatics; information technologies in education, and Media, Applied Technology and Communication.

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Book SynopsisThis volume constitutes the refereed proceedings of the Third International Conference on Applied Technologies, ICAT 2021, held in Quito, Ecuador, in October 2021. The 40 papers were carefully reviewed and selected from 201 submissions. The papers are organized according to the following topics: communication; computing; e-government and e-participation; e-learning; electronics; general track; intelligent systems; machine vision; security; technology trends.Table of ContentsCommunication.- Computing.- e-Government and e-Participation.- e-Learning.- Electronics.- General Track.- Intelligent Systems.- Machine Vision.- Security.- Technology Trends.

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Book SynopsisThis book constitutes revised papers from the eight workshops which were held during June 2021 at the 24th International Conference on Business Information Systems, BIS 2021. The conference was planned to take place in Hannover, Germany, and changed to a fully online event due to the COVID-19 pandemic. There was a total of 67 submissions to all workshops of which 31papers were accepted for publication. The workshops included in this volume are: AKTB 2021: 12th Workshop on Applications of Knowledge-Based Technologies in Business BisEd 2021: BIS Education: Trends and Challenges DigBD 2021: 1st Workshop on Digitization in the Flux of Big Data Scenarios DigEx 2021: 3rd International Workshop on transforming the Digital Customer Experience iCRM 2021: 6th International Workshop on Integrated Social CRM QOD 2021: 4th Workshop on Quality of Open Data BITA 2021: 12th Workshop on Business and IT Alignment BSCT 2021: 4th Workshop on Blockchain and Smart Contract TechnologiesTable of ContentsAKTB Workshop.- Analysis of the structure of Germany's energy sector with self-organizing Kohonen maps.- Time-to-Event Modelling for survival and hazard analysis of Stroke clinical case.- Automatically Extracting Insurance Contract Knowledge Using NLP.- Analyzing Medical Data with Process Mining: a COVID-19 Case Study.- Problem Domain Example of Knowledge-Based Enterprise Model Usage for Different UML Behavioral Models Generation.- BIS Education Workshop.- Reconsidering the Challenges of BIS Education in Light of the COVID Pandemic.- COVID-19-related challenges in business information systems education: experiences from Slovenia.- Successful Project Completion During the COVID-19 Pandemic - A Lesson Learnt.- Comparative analysis of highly ranked BIS degree programs.- DigBD Workshop.- Multi-Agent System for Weather Forecasting in India.- Towards a Data Collection Quality Model for Big Data Applications.- Investigating the Incorporation of Big Data in Management Information Systems.- The Perception of Test Driven Development in Computer Science - Outline for a Structured Literature Review.- DigEx Workshop.- Influence of Augmented Reality on Consumer Behaviour in Online Retailing.- Personality Based Data-driven Personalizationas as an Integral Part of the Mobile Application.- iCRM Workshop.- Social CRM as a business strategy: developing the dynamic capabilities of Micro and Small Businesses.- Gaining Insights on Student Satisfaction by applying Social CRM techniques for Higher Education Institutions.- Understanding Customer-induced Orchestration of Services: A Review of Drivers and Concepts.- QOD Workshop.- A high-resolution urban land surface dataset for the Hong Kong-Shenzhen area.- Review of literature on Open Data for scalability and operation efficiency of electric bus fleets.- Challenges of Mining Twitter Data for Analyzing Service Performance: A Case study of Transportation Service in Malaysia.- Data quality assessment of comma separated values using linked data approach.- Spatio-temporal data sources integration with ontology for road accidents analysis.- BITA Workshop.- IT-Service Value Modeling: A Systematic Literature Analysis.- Consolidating Academic and Practical Guidelines for Digital Transformation.- Integrated Security Management of Public and Private Sector for Critical Infrastructures - Problem Investigation.- Market Launch and Regulative Assessment of ICT-based Medical Devices: Case Study and Problem Definition.- BSCT Workshop.- A Probabilistic Logic Model of Lightning Network.- Enabling Electronic Bills of Lading by Using a Private Blockchain.- Modeling the Resilience of the Cryptocurrency Market to COVID-19.- Fast payment systems dynamics: lessons from diffusion of innovation models.- A Meta-Review of Blockchain Adoption Literature in Supply Chain.

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Book SynopsisThis book constitutes the refereed post-conference proceedings of the 2nd International Conference on Edge Computing and IoT, ICECI 2021, held in December 2021 in Shenzhen, China. Due to COVID-19 pandemic the conference was held virtually. The explosion of the big data generated by ubiquitous edge devices motivates the emergence of applying machine learning systems for edge computing and Internet of Things (IoT) services. Machine learning techniques are delivering a promising solution to the industry for building IoT systems and to make innovation at a rapid pace. The 12 full papers of ICECI 2021 were selected from 26 submissions and present results and ideas in the area of edge computing and IoT.Table of ContentsAn Improved Audio Processing Method for Campus Broadcast System.- Committee Selection Based on Game Theory in Sharding Blockchain.- Green Transition Driven Carbon Trading Mechanism and Design Based on Urban Vehicle Trajectory Data.- Matching with Externalities for Device Assignment in IoT Sharding Blockchain.- Openflow-extended Queue Scheduling for Multi-tenants in Access Network.- Research and Improvement on detection algorithm of SCMA System.- A Survey of Adversarial Attacks on Wireless Communications.- Adversarial Examples in Wireless Networks: A Comprehensive Survey.- Headmotion: Human-machine interaction requires only your head movement.- Implementation of the bone grid reconstruction based on CT data.- Intelligent Vocal Training Assistant System.- Wearable-based Human Emotion Inference System..

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Book SynopsisThis book covers the following main topics: A) information and knowledge management; B) organizational models and information systems; C) software and systems modeling; D) software systems, architectures, applications and tools; E) multimedia systems and applications; F) computer networks, mobility and pervasive systems; G) intelligent and decision support systems; H) big data analytics and applications; I) human–computer interaction; J) ethics, computers and security; K) health informatics; L) information technologies in education; M) information technologies in radio communications; N) technologies for biomedical applications.This book is composed by a selection of articles from The 2022 World Conference on Information Systems and Technologies (WorldCIST'22), held between April 12 and 14, in Budva, Montenegro.WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences, and challenges of modern information systems and technologies research, together with their technological development and applications.

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Book SynopsisThis book covers the following main topics: A) information and knowledge management; B) organizational models and information systems; C) software and systems modeling; D) software systems, architectures, applications and tools; E) multimedia systems and applications; F) computer networks, mobility and pervasive systems; G) intelligent and decision support systems; H) big data analytics and applications; I) human–computer interaction; J) ethics, computers and security; K) health informatics; L) information technologies in education; M) information technologies in radio communications; N) technologies for biomedical applications.This book is composed by a selection of articles from The 2022 World Conference on Information Systems and Technologies (WorldCIST'22), held between April 12 and 14, in Budva, Montenegro.WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences, and challenges of modern information systems and technologies research, together with their technological development and applications.

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Book SynopsisThis book covers the following main topics: A) information and knowledge management; B) organizational models and information systems; C) software and systems modeling; D) software systems, architectures, applications and tools; E) multimedia systems and applications; F) computer networks, mobility and pervasive systems; G) intelligent and decision support systems; H) big data analytics and applications; I) human–computer interaction; J) ethics, computers and security; K) health informatics; L) information technologies in education; M) information technologies in radio communications; N) technologies for biomedical applications.This book is composed by a selection of articles from The 2022 World Conference on Information Systems and Technologies (WorldCIST'22), held between April 12 and 14, in Budva, Montenegro. WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences, and challenges of modern information systems and technologies research, together with their technological development and applications.

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Book SynopsisChapter “Developing a VR Tool to Support Repeat Pattern Design Learning ” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

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Book SynopsisThe proceedings set LNCS 13231, 13232, and 13233 constitutes the refereed proceedings of the 21st International Conference on Image Analysis and Processing, ICIAP 2022, which was held during May 23-27, 2022, in Lecce, Italy,The 168 papers included in the proceedings were carefully reviewed and selected from 307 submissions. They deal with video analysis and understanding; pattern recognition and machine learning; deep learning; multi-view geometry and 3D computer vision; image analysis, detection and recognition; multimedia; biomedical and assistive technology; digital forensics and biometrics; image processing for cultural heritage; robot vision; etc. Table of ContentsBrave New Ideas.- Biomedical and Assistive Technology.- Multimedia.- Deep Learning.- Image Processing for Cultural Heritage.- Robot Vision.

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Book SynopsisThis book constitutes the proceedings of the 7th International Conference on Business Intelligence, CBI 2022, which took place in Khouribga, Morocco, during May 26-28, 2022. The 23 full papers included in this book were carefully reviewed and selected from a total of 68 submissions. They were organized in topical sections as follows: decision support and artificial intelligence; business intelligence and database; and optimization and dynamic programming.Table of ContentsDecision Support and Artificial Intelligence.- Optimization Focused On Parallel Fuzzy Deep Belief Neural Network For Opinion Mining.- A Convolutional Neural Networks-Based Approach For Potato Disease Classification.- Performance Investigation of a Proposed CBIR Search Engine Using Deep Convolu-tional Neural Networks.- Decision Boundary to improve the sensitivity of deep neural networks models. - Facial Expression Recognition Using a Hybrid ViT-CNN Aggregator.- Machine Learning Approach to Automate Decision Support on Information System Attacks.- Deep Reinforcement Learning for Bitcoin Trading.- An exploration of student grade retention prediction using machine learning algorithms.- Deep Learning Model For Educational Recommender Systems.- Comparative Study of Deep Learning Models for detection and classification of intracranial hemorrhage.- Business Intelligence and Database.- Increasing Student Engagement in Lessons and Assessing MOOC Participants Through Artificial Intelligence. -Mining frequents itemset and association rules in diabetic dataset.- Automatic text summarization for Moroccan Arabic dialect using an artificial intelligence approach.- Automatic Change Detection based on the Independent Component Analysis and Fuzzy C-means Methods.- Sentiment analysis decision system for tracking climate change opinion in Twitter.- Analysis of Decision Tree Algorithms for Diabetes Prediction.- How far can Deep Learning improve Arabic Part of Speech Tagging.- Optimization and Dynamic programming.- Analysis of Several Algorithms for DOA Estimation in Two Different Communication Models by a Comparative Study.- A Novel hybrid Approach for improving the accuracy of the Supervised Link Prediction based on Graph Structure Features in Social Networks. - Intelligent system based on GAN model for decision support in brain Tumor segmentation.- Hospital room management for Covid-19 patients using Petri nets.- Dimensionality reduction of MI-EEG data via convolutional autoencoders with a low size dataset.- Car tracking technique for DLES Project.

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Book SynopsisThis book constitutes the refereed proceedings of the 22nd International Conference on Innovations for Community Services, I4CS 2022, held in Delft, The Netherlands, in June 2022. The 15 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 43 submissions. Three invited papers were also included in the volume. The papers focus on topics such as services for critical infrastructure; network architecture for communities; applications and services supporting work and life; community data and visualization; technology empowers industry processes; and future community support.Table of ContentsInvited Papers.- Energy Harvesting and Environment Protection.- Applied Security and Privacy.- eHealth and Infrastructure.- Smart Mobility and Routing.- Smart Cities and Standardization.- Applied Machine Learning.- Quantum Computing.

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Book SynopsisThis book constitutes the refereed conference proceedings of the 10th Annual Privacy Forum, APF 2022 in Warsaw, Poland in June 2022. The 8 full papers were carefully reviewed and selected from 38 submissions. The papers are organized in the area of privacy and data protection while focusing on privacy related application areas. A large focus of the 2022 conference was on the General Data Protection Regulation (GDPR).Table of ContentsUsers’ Rights.- Security of Personal Data.- Privacy Enhancing Technologies.- Privacy Engineering.

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Book SynopsisThis book constitutes the refereed proceedings of the 6th International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2022, held in Be'er Sheva, Israel, in June - July 2022. The 24 full and 11 short papers presented together with a keynote paper in this volume were carefully reviewed and selected from 53 submissions. They deal with the theory, design, analysis, implementation, or application of cyber security, cryptography and machine learning systems and networks, and conceptually innovative topics in these research areas.Table of ContentsBlind Rotation in Fully Homomorphic Encryption with Extended Keys.- Monitoring Time Series With Missing Values: a Deep Probabilistic Approach.- Time, Memory and Accuracy Tradeoffs in Side-Channel Trace Profiling.- Design of Intrusion Detection System based on Logical Analysis of Data (LAD) using Information Gain Ratio.- Simulating a Coupon Collector.- On the undecidability of the Panopticon detection problem.- Privacy-Preserving Contrastive Explanations with Local Foil Trees.- Timing leakage analysis of non-constant-time NTT implementations with Harvey butterflies.- Predicting the direction of changes in the values of time series for relatively small training samples.- Machine-Learning Based Objective Function Selection for Community Detection.- Randomness for Randomness Testing.- Botnet attack identification based on SDN.- Setting up an anonymous gesture database as well as enhancing it with a verbal script simulator for rehabilitation applications.- Fake News Detection in Social Networks using Machine Learning and Trust.- Reinforcement Based User Scheduling for Cellular Communications.- A Heuristic Framework to search for Approximate Mutually Unbiased Bases.- Counter Mode for Long Messages and a Long Nonce.- Transfer learning for time series classification using synthetic data generation.- Non-Stopping Junctions via Traffic Scheduling.- Predicting subscriber usage: Analyzing multidimensional time-series using Convolutional Neural Networks.- Smart Cybercrime Classification for Digital Forensics with Small Datasets.- Auditable, Available and Resilient Private Computation on the Blockchain via MPC.- Union Buster: A Cross-Container Covert-Channel Exploiting Union Mounting.- Mutual Accountability Layer: Accountable Anonymity within Accountable Trust.- Faster Post-Quantum TLS handshakes Without Intermediate CA Certificates.- Enhancing Cybersecurity of Satellites at sub-THz Bands.- Polynomial Approximation of Inverse sqrt Function for FHE.- Detecting Clickbait in Online Social Media: You Won’t Believe How We Did It.- Etherless Ethereum Tokens: Simulating Native Tokens in Ethereum.- A Linear-Time 2-Party Secure Merge Protocol.- FairMM: A Fast and Frontrunning-Resistant Crypto Market-Maker.-In-app Cryptographically-Enforced Selective Access Control for Microsoft Office and Similar Platforms.- Differentially-Private ``Draw and Discard'' Machine Learning: Training Distributed Models from Enormous Crowds.- Privacy Preserving Solution of DCOPs by Mediation.- BFLUT Bloom Filter for Private Look Up Tables.

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Book SynopsisThis book constitutes the refereed proceedings of the 15th IFIP WG 11.8 World Conference on Information Security Education, WISE 2022, held in Copenhagen, Denmark, in June 2021. The 8 papers presented were carefully reviewed and selected from 17 submissions. The papers are categorized into the following topical sub-headings: Securing the Fourth Industrial Revolution through Programming; Cybersecurity in the Fourth Industrial Revolution: Charting the Way Forward in Education; and Real-World Cybersecurity-Inspired Capacity Building.Table of ContentsSecuring the Fourth Industrial Revolution through Programming.- Analyzing Error Rates in Cryptological Programming Assignments.- SecTutor: An Intelligent Tutoring System For Secure Programming .- Cybersecurity in the Fourth Industrial Revolution: Charting the Way Forward in Education.- How to Overcome Staff Shortage in Professionals for SOCs and NSICs.- Collaborative Cybersecurity Learning: Establishing Educator and Learner Expectations and Requirements.- A Maturity Assessment Model for Cyber Security Education in Europe.- Real-World Cybersecurity-Inspired Capacity Building.- ForCyRange: An Educational IoT Cyber Range for Live Digital Forensics.- South Africa’s taxi industry as a cybersecurity-awareness game changer: why and how?.- Maritime Cyber Threats Detection Framework: Building Capabilities.

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Book SynopsisThis book constitutes the thoroughly refereed proceedings of the 22nd International Conference on Web Engineering, ICWE 2022, held in Bari, Italy, in July 2022. The 23 revised full papers and 5 short papers presented were carefully reviewed and selected from 81 submissions. The books also contains 6 demonstration and poster papers, 7 symposium and 5 tutorial papers. They are organized in topical sections named: recommender systems based on web technology; social web applications; web applications modelling and engineering; web big data and web data analytics; web mining and knowledge extraction; web security and privacy; web user interfaces.Table of Contentsrecommender systems based on web technology.- social web applications.- web applications modelling and engineering.- web big data and web data analytics.- web mining and knowledge extraction.- web security and privacy.- web user interfaces.- web mining and knowledge extraction.- web Big Data and Web data analytics.- Mobile Web applications.- web of Things applications.- social Web applications.- web crowdsourcing and human computation.- semantic web.- web ontologies, and Linked Open Data applications.- quality and accessibility aspects of Web applications.- web composition and mashups.- web user interfaces.- web security and privacy.- web programming.- web services, computing, and standards.

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Book SynopsisThis book constitutes the proceedings of the 16th International Conference on Theoretical Aspects of Software Engineering, TASE 2022, held in Cluj-Napoca, Romania, July 2022. The 21 full regular papers presented together with 5 short papers in this book were carefully reviewed and selected from 71 submissions. The topics of the papers covering various fields in software engineering and the latest developments in in formal and theoretical software engineering methods and techniques.Table of ContentsSoftware Engineering.- Theoretical Computer Science in industrial applications.- Software Engineering Methodologies. Formal and theoretical software engineering methods and techniques.

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Book SynopsisThis book constitutes the refereed proceedings of the 4th International Conference on Intelligent Technologies and Applications, INTAP 2021, held in Grimstad, Norway, October 11–13, 2021.The 33 full papers included in this book were carefully reviewed and selected from 243 submissions. They were organized in topical sections as follows: Intelligence, Decision support systems, IoT; Robotics; ML and AI for Intelligent Health, Applications of intelligent technologies in Emergency Management; Smart Electrical Energy Systems, AI and ML in Security; ML and AI for sensing technologies, Social Media Analytics; ML in energy sectors and materials; and Miscellaneous.Table of ContentsIntelligence, Decision support systems, IoT.- Dense Nearest Neighborhood Query.- Explainable nonlinear modelling of multiple time series with invertible neural networks.- Iterative Learning for Semi-automatic Annotation Using User Feedback.- Residual Stress Prediction of Welded Joints Using Gradient Boosting Regression.- A Novel Group Teaching Optimization Algorithm based Artificial Neural Network for Classification.- On the Effects of Properties of the Minibatch in Reinforcement Learning.- A novel migration simulation and prediction tool.- Development Environment for Software-defined Smart City Networks.- Robotics.- Branch-Manoeuvring Capable Pipe Cleaning Robot for Aquaponic Systems.- A Multi-Modal Auditory-Visual-Tactile e-Learning Framework.- A Perspective on Intervention Approaches for Children with Autism Spectrum Disorder.- framework for hazard identification of a collaborative Plug&Produce system.- ML and AI for Intelligent Health, Applications of intelligent technologies in Emergency Management.- Future Perspectives on Automated Machine Learning in Biomedical Signal Processing.- DeepFireNet - A Light-Weight Model for Fire-Smoke Classification.- Smart Electrical Energy Systems, AI and ML in Security.- THD Reduction Comparison of Three Phase SPPS via Conventional RC and Novel PRESH Controller.- Artificial Neural Network (ANN) trained by a Novel Arithmetic Optimization Algorithm (AOA) for Short Term Forecasting of Wind Power.- Bode Plot Analysis of PRES and Novel PRESH controller interfaced with three phase GTSPPS.- Energy tracing and blockchain technology: a primary review.- Emulation of IEC 60870-5-104 Communication in Digital Secondary Substations.- ML and AI for sensing technologies, Social Media Analytics.- Point Cloud Instance Segmentation for Automatic Electric Vehicle Battery Disassembly.- Radar-Based Passive Step Counter and its Comparison with a Wrist-Worn Physical Activity Tracker.- Principles for the Arrangement of Social Media Listening Practices in Crisis Management.- AMUSED: An Annotation Framework of Multi-modal Social Media Data.- ML in energy sectors and materials.- An evaluation of predictor variables for photovoltaic power forecasting.- Smart Meter Data Anomaly Detection using Variational Recurrent Autoencoders with Attention.- Detecting the linear and non-linear causal links for disturbances in the power grid.- Machine Learning for PV System Operational Fault Analysis: Literature Review.- Miscellaneous.- An overview of Data Based Predictive Modeling Techniques used in Analysis of Vehicle Crash Severity.- An Evaluation of Autonomous Car Simulators and their applicability for Supervised and Reinforcement Learning.- Classification of Mechanical Fault-Excited Events based on Frequency.- Intelligent Technologies in the Process of Recovering Historical, Cultural, and Heritage Value in Native Communities.- Tensile Experiments on Adhesion between Aluminium Profiles and Glass.- Machine learning for capacity utilization along the routes of an urban freight service.

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Book SynopsisThis book constitutes the refereed proceedings of the 12h International Symposium on Business Modeling and Software Design, BMSD 2022, which took place in Fribourg, Switzerland, in June 2022.The 12 full and 9 short papers included in this book were carefully reviewed and selected from a total of 56 submissions. BMSD is a leading international forum that brings together researchers and practitioners interested in business modeling and its relation to software design. Particular areas of interest are: Business Processes and Enterprise Engineering; Business Models and Requirements; Business Models and Services; Business Models and Software; Information Systems Architectures and Paradigms; Data Aspects in Business Modeling and Software Development; Blockchain-Based Business Models and Information Systems; IoT and Implications for Enterprise Information Systems. Each year, a special theme is chosen, for making presentations and discussions more focused. The BMSD 2022 theme is: Information Systems Engineering and Trust. Table of ContentsFull Papers.-- Rapid Prototyping of Business Rule-based Systems with Controlled Natural Language and Semantic Web Software.- - Agile Innovation Through Business Process Management: Realizing the Potential of Digital Transformation.-- Requirements for Dynamic Jumps at the Execution of Business Processes.- Results from the Verification of Models of Spectrum Auctions.- Context-Aware, Intelligent Musical Instruments for Improving Knowledge-Intensive Business Processes.- Detecting Data Incompatibilities in Process-Driven Decision Support Systems.- Semantic Relations of Sub-Models in an Enterprise Model.- VR-EA+TCK: Visualizing Enterprise Architecture, Content, and Knowledge in Virtual Reality.- A Case of Social Dynamics & Social Relativism.- Advantages of a Formal Specification of a Case: From Informal Description via Formal Specification to Realization.- An Architecture for Attesting to the Provenance of Ontologies Using Blockchain Technologies.- Trends for the DevOps Security. A Systematic Literature Review.- Short Papers.- Errors in the Process of Modeling Business Processes.- Use Cases for Augmented Reality Applications in Enterprise Modeling: A Morphological Analysis.- On the Context-Aware Servicing of User Needs: Extracting and Managing Context Information Supported by Rules and Predictions.- Towards Identification and Modelling of Privacy Requirements with Systems Thinking a Reference Architecture for User-Oriented Open Government Data Portals.- KnowGo : An Adaptive Learning-based Multi-Model Framework for Dynamic Automotive Risk Assessment.- OSRM-CCTV: CCTV-aware Routing and Navigation System for Privacy and Safety.- CCTV-Exposure: System for Measuring User’s Privacy Exposure to CCTV Cameras.- Computer Model for Assessment and Visualization of Specific Absorption Rate of Electromagnetic Field, Generated by Smartphone.

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Book SynopsisThis two-volume set LNCS 13398 and LNCS 13399 constitutes the refereed proceedings of the 17th International Conference on Parallel Problem Solving from Nature, PPSN 2022, held in Dortmund, Germany, in September 2022.The 87 revised full papers were carefully reviewed and selected from numerous submissions. The conference presents a study of computing methods derived from natural models. Amorphous Computing, Artificial Life, Artificial Ant Systems, Artificial Immune Systems, Artificial Neural Networks, Cellular Automata, Evolutionary Computation, Swarm Computing, Self-Organizing Systems, Chemical Computation, Molecular Computation, Quantum Computation, Machine Learning, and Artificial Intelligence approaches using Natural Computing methods are just some of the topics covered in this field.Table of ContentsAutomated Algorithm Selection in Single-Objective Continuous Optimization: A Comparative Study of Deep Learning and Landscape Analysis Methods.- Improving Nevergrad's Algorithm Selection Wizard NGOpt through Automated Algorithm Configuration.- Non-Elitist Selection Can Improve the Performance of Irace.- Per-run Algorithm Selection with Warm-starting using Trajectory-based Features.- Efficient Approximation of Expected Hypervolume Improvement using Gauss-Hermite Quadrature.- A Systematic Approach to Analyze the Computational Cost of Robustness in Model-Assisted Robust Optimization.- Adaptive Function Value Warping for Surrogate Model Assisted Evolutionary Optimization.- Finding Knees in Bayesian Multi-Objective Optimization.- High Dimensional Bayesian Optimization with Kernel Principal Component Analysis.- Single Interaction Multi-Objective Bayesian Optimization.- Surrogate-assisted LSHADE algorithm utilizing Recursive Least Squares filter.- Towards Efficient Multiobjective Hyperparameter Optimization: A Multiobjective Multi-Fidelity Bayesian Optimization and Hyperband Algorithm.- A Continuous Optimisation Benchmark Suite from Neural Network Regression.- BBE: Basin-Based Evaluation of Multimodal Multi-Objective Optimization Problems.- Evolutionary Approaches to Improving the Layouts of Instance-Spaces.- A novelty-search approach to filling an instance-space with diverse and discriminatory instances for the knapsack problem.- Co-Evolutionary Diversity Optimisation for the Traveling Thief Problem.- Computing High-Quality Solutions for the Patient Admission Scheduling Problem using Evolutionary Diversity Optimisation.- Cooperative Multi-Agent Search on Endogenously-Changing Fitness Landscapes.- Evolutionary Algorithm for Vehicle Routing with Diversity Oscillation Mechanism.- Evolutionary Algorithms for Limiting the Effect of Uncertainty for the Knapsack Problem with Stochastic Profits.- Self-adaptation via Multi-objectivisation: An Empirical Study.- The Combined Critical Node and Edge Detection Problem. An Evolutionary Approach.- Attention-Based Genetic Algorithm for Adversarial Attack in Natural Language Processing.- Deep Reinforcement Learning with Two-Stage Training Strategy for Practical Electric Vehicle Routing Problem with Time Windows.- Evolving Through the Looking Glass: Learning Improved Search Spaces with Variational Autoencoders.- Generalization and Computation for Policy Classes of Generative Adversarial Imitation Learning.- Generative Models over Neural Controllers for Transfer Learning.- HVC-Net: Deep Learning based Hypervolume Contribution Approximation.- Multi-objective Evolutionary Ensemble Pruning Guided by Margin Distribution.- Revisiting Attention-based Graph Neural Networks for Graph Classification.- Robust Neural Network Pruning by Cooperative Coevolution.- SemiGraphFL: Semi-Supervised Graph Federated Learning.- Evolutionary Design of Reduced Precision Preprocessor for Levodopa-Induced Dyskinesia Classifier.- In-Materio Extreme Learning Machines.- On the impact of the duration of evaluation episodes on the evolution of adaptive robots.- Analysing the Fitness Landscape Rotation for Combinatorial Optimisation.- Analysis of Search Landscape Samplers for Solver Performance Prediction on a University Timetabling Problem.- Fractal Dimension and Perturbation Strength: A Local Optima Networks View.- HPO X ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis.- Increasing the Diversity of Benchmark Function Sets through Affine Recombination.- Neural Architecture Search: A Visual Analysis. - Digging into Semantics: Where do search-based software repair methods search?.- Gene-pool Optimal Mixing in Cartesian Genetic Programming.- Genetic programming for combining directional changes indicators in international stock markets.- Importance-Aware Genetic Programming for Automated Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling.- Towards Discrete Phenotypic Recombination in Cartesian Genetic Programming.- A general architecture for generating interactive decomposition-based MOEAs.- An Exact Inverted Generational Distance for Continuous Pareto Front.- Direction Vector Selection for R2-based Hypervolume Contribution Approximation.- Do We Really Need to Use Constraint Violation in Constrained Evolutionary Multi-Objective Optimization?.- Dynamic Multi-modal Multi-objective Optimization: A Preliminary Study.- Fair Feature Selection with a Lexicographic Multi-Objective Genetic Algorithm.- Greedy Decremental Quick Hypervolume Subset Selection Algorithms.- Hybridizing Hypervolume-based Evolutionary Algorithms and Gradient Descent by Dynamic Resource Allocation.- Identifying Stochastically Non-dominated Solutions Using Evolutionary Computation.- Large-scale multi-objective influence maximisation with network downscaling.- Multi-Objective Evolutionary Algorithm Based on the Linear Assignment Problem and the Hypervolume Approximation using Polar Coordinates (MOEA-LAPCO).- New Solution Creation Operator in MOEA/D for Faster Convergence.- Obtaining Smoothly Navigable Approximation Sets in Bi-Objective Multi-Modal Optimization.- T-DominO: Exploring Multiple Criteria with Quality-Diversity and the Tournament Dominance Objective.- Recombination Weight based Selection in the DTS-CMA-ES.- The (1+1)-ES Reliably Overcomes Saddle Points.- Collective Learning of Low-Memory Matrix Adaptation for Large-Scale Black-Box Optimization.- Evolutionary Time-Use Optimization for Improving Children's Health Outcomes.- Iterated Local Search for the eBuses Charging Location Problem.- Multi-view clustering of heterogeneous health data: Application to systemic sclerosis.- Specification-Driven Evolution of Floor Plan Design.- Surrogate-assisted Multi-objective Optimization for Compiler Optimization Sequence Selection.- A First Runtime Analysis of the NSGA-II on a Multimodal Problem.- Analysis of Quality Diversity Algorithms for the Knapsack Problem.- Better Running Time of the Non-dominated Sorting Genetic Algorithm II (NSGA-II) by Using Stochastic Tournament Selection.- Escaping Local Optima With Local Search: A Theory-Driven Discussion.- Evolutionary Algorithms for Cardinality-Constrained Ising Models.- General Univariate Estimation-of-Distribution Algorithms.- Population Diversity Leads to Short Running Times of Lexicase Selection.- Progress Rate Analysis of Evolution Strategies on the Rastrigin Function: First Results.- Running Time Analysis of the (1+1)-EA using Surrogate Models on OneMax and LeadingOnes.- Runtime Analysis of Simple Evolutionary Algorithms for the Chance-constrained Makespan Scheduling Problem.- Runtime Analysis of the (1+1) EA on Weighted Sums of Transformed Linear Functions.- Runtime Analysis of Unbalanced Block-Parallel Evolutionary Algorithms.- Self-adjusting Population Sizes for the (1, λ)-EA on Monotone Functions.- Theoretical Study of Optimizing Rugged Landscapes with the cGA.- Towards Fixed-Target Black-Box Complexity Analysis.- Two-Dimensional Drift Analysis: Optimizing Two Functions Simultaneously Can Be Hard.

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Book SynopsisThis book constitutes the proceedings of the 27th International Conference on Formal Methods for Industrial Critical Systems, FMICS 2022, which took place in Warsaw, Poland, in September 2022. The 13 full papers included in this book were carefully reviewed and selected from 22 submissions. They were organized in topical sections as follows: Certification; industrial use cases; testing and monitoring; and methodology.Table of ContentsInvited Keynote Talks.- Reinforcement Learning with Guarantees That Hold for Ever.- Supporting Railway Innovations with Formal Modelling and Verification.- Certification.- Formal Monotony Analysis of Neural Networks with Mixed Inputs: An asset for certification.- Generating Domain-specific Interactive Validation Documents.- Deductive Verification of Smart Contracts with Dafny.- Industrial use cases.- Towards Reusable Formal Models for Custom Real-time Operating Systems.- Formal verification of an industrial UML-like model using mCRL2.- Chemical Case Studies in KeYmaera X.- Analysing Capacity Bottlenecks in Rail Infrastructure by Episode Mining.- Testing and monitoring.- Test Suite Augmentation for Recon gurable PLC Software in the Internet of Production.- Monitoring of Spatio-Temporal Properties with nonlinear SAT solvers.- Model-Based Testing of Internet of Things Protocols.- Methodology.- Formally Verifying Decompositions of Stochastic Specifications.- Verification of Behavior Trees using Linear Constrained Horn Clauses.- A Multi-level Methodology for Behavioral Comparison of SoftwareIntensive Systems.

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Book SynopsisThis two volume proceedings, LNCS 13445 and 13446, constitutes the refereed proceedings of the 9th International Conference on Augmented Reality, Virtual Reality, and Computer Graphics, XR Salento 2022, held in Lecce, Italy, July 6–8, 2022. Due to COVID-19 pandemic the conference was held as a hybrid conference.The 42 full and 16 short papers were carefully reviewed and selected from 84 submissions. The papers discuss key issues, approaches, ideas, open problems, innovative applications and trends in virtual reality, augmented reality, mixed reality, applications in cultural heritage, in medicine, in education, and in industry.Table of ContentseXtended Reality for learning and training.- Mixed Reality Agents for Automated Mentoring Processes.- Asynchronous Manual Work in Mixed Reality Remote Collaboration.- A virtual reality serious game for children with dyslexia: DixGame.- Processing Physiological Sensor Data in Near Real-Time as Social Signals for their Use on Social Virtual Reality Platforms.- Developing a tutorial for improving usability and user skills in an immersive virtual reality experience.- Challenges in Virtual Reality Training for CRBN Events.- A Preliminary Study on the Teaching Mode of Interactive VR Painting Ability Cultivation.- eXtended Reality in education.- Factors in the cognitive-emotional impact of Educational Environmental Narrative Videogames.- Instinct-based Decision-making in Interactive Narratives.- The application of immersive virtual reality for children's road education: validation of a pedestrian crossing scenario.- Collaborative VR scene broadcasting for geometry education.- Collaborative Mixed Reality Annotations System for Science and History Education Based on UWB Positioning and Low-cost AR Glasses.- Artificial Intelligence and Machine Learning for eXtended Reality.- Can AI replace conventional markerless tracking? A comparative performance study for mobile augmented reality based on artificial intelligence..- Find, Fuse, Fight: genetic algorithms to provide engaging content for multiplayer augmented reality games.- Synthetic data generation for surface defect detection*.- eXtended Reality in Geo-Information Sciences.- ARtefact: A Conceptual Framework for the Integrated Information Management of Archaeological Excavations.- Geomatics meets XR: a brief overview of the synergy between Geospatial data and augmented visualization..- Utilization of Geographic Data for the Creation of Occlusion Models in the Context of Mixed Reality Applications.- Development of an open-source 3D WebGIS framework to promote cultural heritage dissemination.- Industrial eXtended Reality.- A FRAMEWORK FOR DEVELOPING XR APPLICATIONS INCLUDING MULTIPLE SENSORIAL MEDIA.- Augmented Reality Remote Maintenance in Industry: A Systematic Literature Review.- Virtual Teleoperation Setup for a Bimanual Bartending Robot.- eXtended Reality in the digital transformation of museums.- Virtualization and Vice Versa: A new procedural model of the reverse virtualization for the user behavior tracking in the Virtual Museums.- “You can tell a man by the emotion he feels”: How Emotions Influence Visual Inspection of Abstract Art in Immersive Virtual Reality.- Augmented Reality and 3D Printing for Archaeological Heritage: Evaluation of Visitor Experience.- Building blocks for multi-dimensional WebXR inspection tools targeting Cultural Heritage.- Comparing the impact of low-cost 360° cultural heritage videos displayed in 2D screens versus virtual reality headsets.- eXtended Reality beyond the five senses.- Non-immersive versus immersive extended reality for motor imagery neurofeedback within a brain-computer interfaces.- Virtual Reality enhances EEG-based neurofeedback for emotional self-regulation.- Psychological and Educational Interventions Among Cancer Patients: A Systematic Review to Analyze the Role of Immersive Virtual Reality for Improving Patients’ Well-Being.

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Book SynopsisThis book sonstitutes selected papers from the first International Conference on Cyber Warfare, Security and Space Research, SpacSec 2021, held in Jaipur, India, in December 2021.The 19 full and 6 short papers were thoroughly reviewed and selected from the 98 submissions. The papers present research on cyber warfare, cyber security, and space research area, including the understanding of threats and risks to systems, the development of a strong innovative culture, and incident detection and post-incident investigation.Table of ContentsCreation of Novel Database for Knowledge Repository on Cyber Security.- Brain Tumour Classification via UNET Architecture of CNN Technique.- Analysis of Various ML algorithms for Intrusion Detection.- Enhanced Security Mechanism for Cryptographic File Systems Using Trusted Computing.- Critical Analysis of IoT Ecosystem to Understand Security Threats and Challenges.- Hyper-parameters study for breast cancer datasets: enhancing image security and accuracy for prediction class.- An efficient Image Encryption technique using Logistic Map and 2D-TCLM.- Learning Co-occurrence Embeddings for Sentence Classification.- Preventing Fault Attacks on S-boxes of AES-like Block Ciphers.- Privacy Preserving of Two Local Data Sites using Global Random Forest Classification.- Privacy Preserving and Secured Clustering of Distributed Data using Self Organizing Map.- Implementation of Intrusion Detection Systems in Distributed Architecture.- Practical Phase Shift Model for RIS-Assisted D2D Communication Systems.- Recent Trend of Transform Domain Image Steganography Technique for Secret Sharing.- Design of a high efficiency access control & authentication analysis model for cloud deployments using pattern analysis.- A Study on Cyber Security in various Critical IT Infrastructure Organizational Sectors: Challenges and Solutions.- Short-Delay Multipath Errors in NavIC Signals for Stationary Receivers.- Point Clouds Object Classification using Part-based Capsule Network.- Study of various types of attacks made on optical image encryption based on DRPE.- Satellite Image Classification Using ANN.- Power Quality Disturbance Classification Using Transformer Network.- On-Orbit, Non-Destructive Surface Surveillance, and Inspection with Convolution Neural Network.- Ramadan Group transform fundamental properties and some its dualities.- Enhancing Security Mechanism in Smart Phones using Crowdsourcing.- INTELLIBOT - Intelligent Voice Assisted Chatbot with Sentiment Analysis, COVID Dashboard and Offensive Text Detection.

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Book SynopsisThis book constitutes the refereed proceedings of the 19th International Conference on Virtual Reality and Mixed Reality, EuroXR 2022, held in Stuttgart, Germany, in September 2022.The 6 full and 2 short papers were carefully reviewed and selected from 37 submissions. The conference presents contributions on results and insights in Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR), commonly referred to under the umbrella of Extended Reality (XR), including software systems, immersive rendering technologies, 3D user interfaces, and applications. Table of ContentsDesigning Functional Prototypes Combining BCI and AR for Home Automation.- SightX: A 3D Selection Technique for XR.- Design and Evaluation of Three User Interfaces for Detecting Unmanned Aerial Vehicles Using Virtual Reality.- Evaluating the Acceptability and Usability of a Head-Mounted Augmented Reality Approach for Autistic Children With High Support Needs.- Exploiting Augmented Reality in LEGO Therapy for Children with Autism Spectrum Disorder.- Evaluation of Point Cloud Streaming and Rendering for VR-based Telepresence in the OR.- Fast Intra-Frame Video Splicing for Occlusion Removal in Diminished Reality.- Coupling AR with object detection neural networks for end-user engagement.- A Procedural Building Generator based on Real-World Data Enabling Designers to Create Context for XR Automotive Design Experiences.- Generating VR meeting rooms with non-rectangular floor plans using cost optimization and hard constraints.- Controlling Continuous Locomotion in Virtual Reality With Bare Hands using Hand Gestures.- An Augmented Reality solution for the Positive Behaviour Intervention and Support.- The Reality of Virtual Experiences: Semantic and Epi-sodic Memory Formation in VR.

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Book SynopsisThe eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436, 13437, and 13438 constitutes the refereed proceedings of the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which was held in Singapore in September 2022. The 574 revised full papers presented were carefully reviewed and selected from 1831 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: Brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; heart and lung imaging; dermatology; Part II: Computational (integrative) pathology; computational anatomy and physiology; ophthalmology; fetal imaging; Part III: Breast imaging; colonoscopy; computer aided diagnosis; Part IV: Microscopic image analysis; positron emission tomography; ultrasound imaging; video data analysis; image segmentation I; Part V: Image segmentation II; integration of imaging with non-imaging biomarkers; Part VI: Image registration; image reconstruction; Part VII: Image-Guided interventions and surgery; outcome and disease prediction; surgical data science; surgical planning and simulation; machine learning – domain adaptation and generalization; Part VIII: Machine learning – weakly-supervised learning; machine learning – model interpretation; machine learning – uncertainty; machine learning theory and methodologies. Table of ContentsBrain Development and Atlases.- Progression models for imaging data with Longitudinal Variational Auto Encoders.- Boundary-Enhanced Self-Supervised Learning for Brain Structure Segmentation.- Domain-Prior-Induced Structural MRI Adaptation for Clinical Progression Prediction of Subjective Cognitive Decline.- 3D Global Fourier Network for Alzheimer’s Disease Diagnosis using Structural MRI.- CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis.- Interpretable differential diagnosis for Alzheimer’s disease and Frontotemporal dementia.- Is a PET all you need? A multi-modal study for Alzheimer’s disease using 3D CNNs.- Unsupervised Representation Learning of Cingulate Cortical Folding Patterns.- Feature robustness and sex differences in medical imaging: a case study in MRI-based Alzheimer’s disease detection.- Extended Electrophysiological Source Imaging with Spatial Graph Filters.- DWI and Tractography.- Hybrid Graph Transformer for Tissue Microstructure Estimation with Undersampled Diffusion MRI Data.- Atlas-powered deep learning (ADL) - application to diffusion weighted MRI.- One-Shot Segmentation of Novel White Matter Tracts via Extensive Data Augmentation.- Accurate Corresponding Fiber Tract Segmentation via FiberGeoMap Learner.- An adaptive network with extragradient for diffusion MRI-based microstructure estimation.- Shape-based features of white matter fiber-tracts associated with outcome in Major Depression Disorder.- White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning.- Segmentation of Whole-brain Tractography: A Deep Learning Algorithm Based on 3D Raw Curve Points.- TractoFormer: A Novel Fiber-level Whole Brain Tractography Analysis Framework Using Spectral Embedding and Vision Transformers.- Multi-site Normative Modeling of Diffusion Tensor Imaging Metrics Using Hierarchical Bayesian Regression.- Functional Brain Networks.- Contrastive Functional Connectivity Graph Learning for Population-based fMRI Classification.- Joint Graph Convolution for Analyzing Brain Structural and Functional Connectome.- Decoding Task Sub-type States with Group Deep Bidirectional Recurrent Neural Network.- Hierarchical Brain Networks Decomposition via Prior Knowledge Guided Deep Belief Network.- Interpretable signature of consciousness in resting-state functional network brain activity.- Nonlinear Conditional Time-varying Granger Causality of Task fMRI via Deep Stacking Networks and Adaptive Convolutional Kernels.- fMRI Neurofeedback Learning Patterns are Predictive of Personal and Clinical Traits.- Multi-head Attention-based Masked Sequence Model for Mapping Functional Brain Networks.- Dual-HINet: Dual Hierarchical Integration Network of Multigraphs for Connectional Brain Template Learning.- RefineNet: An Automated Framework to Generate Task and Subject-Specific Brain Parcellations for Resting-State fMRI Analysis.- Modelling Cycles in Brain Networks with the Hodge Laplacian.- Predicting Spatio-Temporal Human Brain Response Using fMRI.- Revealing Continuous Brain Dynamical Organization with Multimodal Graph Transformer.- Explainable Contrastive Multiview Graph Representation of Brain, Mind, and Behavior.- Embedding Human Brain Function via Transformer.- How Much to Aggregate: Learning Adaptive Node-wise Scales on Graphs for Brain Networks.- Combining multiple atlases to estimate data-driven mappings between functional connectomes using optimal transport.- The Semi-constrained Network-Based Statistic (scNBS): integrating local and global information for brain network inference.- Unified Embeddings of Structural and Functional Connectome via a Function-Constrained Structural Graph Variational Auto-Encoder.- Neuroimaging.- Characterization of brain activity patterns across states of consciousness based on variational auto-encoders.- Conditional VAEs for confound removal and normative modelling of neurodegenerative diseases.- Semi-supervised learning with data harmonisation for biomarker discovery from resting state fMRI.- Cerebral Microbleeds Detection Using a 3D Feature Fused Region Proposal Network with Hard Sample Prototype Learning.- Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer’s Disease.- Heart and Lung Imaging.- AANet: Artery-Aware Network for Pulmonary Embolism Detection in CTPA Images.- Siamese Encoder-based Spatial-Temporal Mixer for Growth Trend Prediction of Lung Nodules on CT Scans.- What Makes for Automatic Reconstruction of Pulmonary Segments.- CFDA: Collaborative Feature Disentanglement and Augmentation for Pulmonary Airway Tree Modeling of COVID-19 CTs.- Decoupling Predictions in Distributed Learning for Multi-Center Left Atrial MRI Segmentation.- Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision.- Diffusion Deformable Model for 4D Temporal Medical Image Generation.- SAPJNet: Sequence-Adaptive Prototype-Joint Network for Small Sample Multi-Sequence MRI Diagnosis.- Evolutionary Multi-objective Architecture Search Framework: Application to COVID-19 3D CT Classification.- Detecting Aortic Valve Pathology from the 3-Chamber Cine Cardiac MRI View.- CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships between Chest X-Rays.- Reinforcement learning for active modality selection during diagnosis.- Ensembled Prediction of Rheumatic Heart Disease from Ungated Doppler Echocardiography Acquired in Low-Resource Settings.- Attention mechanisms for physiological signal deep learning: which attention should we take?.- Computer-aided Tuberculosis Diagnosis with Attribute Reasoning Assistance.- Multimodal Contrastive Learning for Prospective Personalized Estimation of CT Organ Dose.- RTN: Reinforced Transformer Network for Coronary CT Angiography Vessel-level Image Quality Assessment.- A Comprehensive Study of Modern Architectures and Regularization Approaches on CheXpert5000.- LSSANet: A Long Short Slice-Aware Network for Pulmonary Nodule Detection.- Consistency-based Semi-supervised Evidential Active Learning for Diagnostic Radiograph Classification.- Self-Rating Curriculum Learning for Localization and Segmentation of Tuberculosis on Chest Radiograph.- Rib Suppression in Digital Chest Tomosynthesis.- Multi-Task Lung Nodule Detection in Chest Radiographs with a Dual Head Network.- Dermatology.- Data-Driven Deep Supervision for Skin Lesion Classification.- Out-of-Distribution Detection for Long-tailed and Fine-grained Skin Lesion Images.- FairPrune: Achieving Fairness Through Pruning for Dermatological Disease Diagnosis.- Reliability-aware Contrastive Self-ensembling for Semi-supervised Medical Image Classification.

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Book SynopsisThis book constitutes the proceedings of the 23rd International Conference on Formal Engineering Methods, ICFEM 2022, held in Madrid, Spain, in October 2022. The 16 full and 4 short papers presented together with 1 doctoral symposium paper in this volume were carefully reviewed and selected from 41 submissions. The papers cover for research in all areas related to formal engineering methods, such as verification and validation, software engineering, formal specification and modeling, software security, and software reliability.Table of ContentsModel checking quantum Markov chains.- Bridging Formal Methods and Machine Learning with Global Optimisation.- Canonical Narrowing for Variant-based Conditional Rewrite Theories.- Modular Analysis of Tree-Topology Models.- Non-linear optimization methods for learning regular distributions.- Separation of concerning things: a simpler basis for defining and programming with the C\C++ memory model.- Creusot: a Foundry for the Deductive Verification of Rust Programs.- Generation of a Reversible Semantics for Erlang in Maude.- Program slicing techniques with support for unconditional jumps.- Formal verification of the inter-core synchronization of a multi-core RTOS kernel.- SMT-Based Model Checking of Industrial Simulink Models.- PFMC: A Parallel Symbolic Model Checker for Security Protocol Verification.- A Formal Methodology for Verifying Side-channel Vulnerabilities in Cache Architectures.- Refined Modularization for Bounded Model Checking through Precondition Generation.- TTT/ik: Learning Accurate Mealy Automata Efficiently with an Imprecise Symbol Filter.- A Proof System for Cyber-physical Systems with Shared-Variable Concurrency.- Theorem proving for Maude specifications using Lean.- On How to Not Prove Faulty Controllers Safe in Differential Dynamic Logic.- Declassification predicates for controlled information release.- Trace Refinement in B and Event-B.- Model Checking B Models via High-level Code Generation.- On Probabilistic Extension of The Interaction Theory.- Extracting Weighted Finite Automata from Recurrent Neural Networks for Natural Languages.- RoboCert: Property Specification in Robotics.- Formally Verified Animation for RoboChart using Interaction Trees.- Machine-checked executable semantics of Stateflow.

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Book SynopsisThe 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.Table of ContentsExpanding Language-Image Pretrained Models for General Video Recognition.- Hunting Group Clues with Transformers for Social Group Activity Recognition.- Contrastive Positive Mining for Unsupervised 3D Action Representation Learning.- Target-Absent Human Attention.- Uncertainty-Based Spatial-Temporal Attention for Online Action Detection.- Iwin: Human-Object Interaction Detection via Transformer with Irregular Windows.- Rethinking Zero-Shot Action Recognition: Learning from Latent Atomic Actions.- Mining Cross-Person Cues for Body-Part Interactiveness Learning in HOI Detection.- Collaborating Domain-Shared and Target-Specific Feature Clustering for Cross-Domain 3D Action Recognition.- Is Appearance Free Action Recognition Possible?.- Learning Spatial-Preserved Skeleton Representations for Few-ShotAction Recognition.- Dual-Evidential Learning for Weakly-Supervised Temporal ActionLocalization.- Global-Local Motion Transformer for Unsupervised Skeleton-BasedAction Learning.- AdaFocusV3: On Unified Spatial-Temporal Dynamic Video Recognition.- Panoramic Human Activity Recognition.- Delving into Details: Synopsis-to-Detail Networks for Video Recognition.- A Generalized & Robust Framework for Timestamp Supervision in Temporal Action Segmentation.- Few-Shot Action Recognition with Hierarchical Matching and Contrastive Learning.- PrivHAR: Recognizing Human Actions from Privacy-Preserving Lens.- Scale-Aware Spatio-Temporal Relation Learning for Video Anomaly Detection.- Compound Prototype Matching for Few-Shot Action Recognition.- Continual 3D Convolutional Neural Networks for Real-Time Processing of Videos.- Dynamic Spatio-Temporal Specialization Learning for Fine-Grained Action Recognition.- Dynamic Local Aggregation Network with Adaptive Clusterer for Anomaly Detection.- Action Quality Assessment with Temporal Parsing Transformer.- Entry-Flipped Transformer for Inference and Prediction of Participant Behavior.- Pairwise Contrastive Learning Network for Action Quality Assessment.- Geometric Features Informed Multi-Person Human-Object Interaction Recognition in Videos.- ActionFormer: Localizing Moments of Actions with Transformers.- SocialVAE: Human Trajectory Prediction Using Timewise Latents.- Shape Matters: Deformable Patch Attack.- Frequency Domain Model Augmentation for Adversarial Attack.- Prior-Guided Adversarial Initialization for Fast Adversarial Training.- Enhanced Accuracy and Robustness via Multi-Teacher Adversarial Distillation.- LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity.- A Large-Scale Multiple-Objective Method for Black-Box Attack against Object Detection.- GradAuto: Energy-Oriented Attack on Dynamic Neural Networks.- A Spectral View of Randomized Smoothing under Common Corruptions: Benchmarking and Improving Certified Robustness.- Improving Adversarial Robustness of 3D Point Cloud Classification Models.- Learning Extremely Lightweight and Robust Model with Differentiable Constraints on Sparsity and Condition Number.- RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact DNN.- Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks.

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Book SynopsisThis three-volume set, LNAI 13629, LNAI 13630, and LNAI 13631 constitutes the thoroughly refereed proceedings of the 19th Pacific Rim Conference on Artificial Intelligence, PRICAI 2022, held in Shangai, China, in November 10–13, 2022.The 91 full papers and 39 short papers presented in these volumes were carefully reviewed and selected from 432 submissions. PRICAI covers a wide range of topics in the areas of social and economic importance for countries in the Pacific Rim: artificial intelligence, machine learning, natural language processing, knowledge representation and reasoning, planning and scheduling, computer vision, distributed artificial intelligence, search methodologies, etc.Table of Contents​AI Foundations/Decision Theory.- Fair Allocation with Special Externalities.- Robust Weighted Partial Maximum Satisfiability Problem : Challenge to Sigma2P-Complete Problem.- Epistemic Logic via Distance and Similarity.- Abstract Argumentation Goes Quantum: An Encoding to QUBO Problems.- Diversification of Parallel Search of Portfolio SAT solver by Search Similarity Index.- Dagster: Parallel Structured Search with Case Studies.- Faster Optimistic Online Mirror Descent for Extensive-form Games.- Generalized 3-Valued Belief States in Conformant Planning.- Clustering-Based Network Inference with Submodular Maximization.- Applications of AI.- A LiDAR based Control Solution to Achieve High Precision in Autonomous Parking.- Multi-View Heterogeneous Temporal Graph Neural Network for ”Click Farming” Detection.- Deep forest with sparse topological feature extraction and hash mapping for brain network classification.- COVID-19 Forecasting Based on Local Mean Decomposition and Temporal Convolutional Network.- VMEKNet: Visual Memory and External Knowledge Based Network for Medical Report Generation.- Detecting Video Anomalous Events with an Enhanced Abnormality Score.- Frequency Domain Based Learning with Transformer for Underwater Image Restoration.- MMISeg: A Semi-Supervised Segmentation Method Based on Mixup and Mutual Information for Cardiac MRI Segmentation.- Dual-Stream Feature Fusion Network for Detection and ReID in Multi-Object Tracking.- A Novel Approach for Pill-Prescription Matching with GNN Assistance and Contrastive Learning.- A Robust Lightweight Deepfake Detection Network using Transformers.- A General Personality Analysis Model Based on Social Posts and Links.- Deception Detection Towards Multi-turn Question Answering with Context Selector Network.- A Unet with Sequence Information for Gastrointestinal Tract Segmentation.- Co-contrastive self-supervised learning for drug-disease association prediction.- Obj-SA-GAN: Object-Driven Text-to-Image Synthesis with Self-Attention based Full Semantic Information Mining.- Data Mining and Knowledge Discovery.- APGKT: Exploiting Associative Path on Skills Graph for Knowledge Tracing.- Features Fusion Framework for Multimodal Irregular Time-series Events.- A Multi-output Integration Residual Network for Predicting Time Series Data with Diverse Scales.- Time-series Prediction Improvement by Adaptive Decomposition.- Attention-based Memory-Enhanced Knowledge Tracing.- Dual-VIE: Dual-Level Graph Attention Network for Visual Information Extraction.- Temporal Edge-Aware Hypergraph Convolutional Network for Dynamic Graph Embedding.- Performance Improvement Validation of Decision Tree Algorithms with Non-normalized Information Distance in Experiments.- The Time-sequence Prediction via Temporal and Contextual Contrastive Representation Learning.- Managing dataset shift by adversarial validation for credit scoring.- Linking Check-in Data to Users on Location-aware Social Networks.- Robust Subspace Clustering Based on Latent Low-rank Representation with Weighted Schatten-p Norm Minimization.- Evolutionary Computation/Optimisation.- Speeding up Genetic Programming Based Symbolic Regression Using GPUs.- High-Dimensional Discrete Bayesian Optimization with Intrinsic Dimension.- Multi-Objective Evolutionary Instance Selection for Multi-Label Classification.- An Investigation of Adaptive Operator Selection in Solving Complex Vehicle Routing Problem.- Evolutionary Automated Feature Engineering.

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Book SynopsisThis three-volume set, LNAI 13629, LNAI 13630, and LNAI 13631 constitutes the thoroughly refereed proceedings of the 19th Pacific Rim Conference on Artificial Intelligence, PRICAI 2022, held in Shangai, China, in November 10–13, 2022.The 91 full papers and 39 short papers presented in these volumes were carefully reviewed and selected from 432 submissions. PRICAI covers a wide range of topics in the areas of social and economic importance for countries in the Pacific Rim: artificial intelligence, machine learning, natural language processing, knowledge representation and reasoning, planning and scheduling, computer vision, distributed artificial intelligence, search methodologies, etc.Table of Contents​Knowledge Representation and Reasoning.- Moderately-Balanced Representation Learning for Treatment Effects with Orthogonality Information.- Source-Free Implicit Semantic Augmentation for Domain Adaptation.- Role-Oriented Network Embedding Method Based on Local Structural Feature and Commonality.- Dynamic Refining Knowledge Distillation Based on Attention Mechanism.- Entity Representation by Neighboring Relations Topology for Inductive Relation Prediction.- Entity Similarity-based Negative Sampling for Knowledge Graph Embedding.- Label Enhancement using Inter-Example Correlation Information.- Link Prediction via Fused Attribute Features Activation with Graph Convolutional Network.- Multi-Subspace Attention Graph Pooling.- Embedding for Temporal Knowledge Graph Reasoning.- Natural Language Processing.- M2FNet: Multi-granularity Feature Fusion Network for Medical Visual Question Answering.- Noise-robust Semi-supervised Multi-modal Machine Translation.- SETFF: A Semantic Enhanced Table Filling Framework for Joint Entity and Relation Extraction.- PEKIN: Prompt-based External Knowledge Integration Network for Rumor Detection on Social Media.- Entity-aware Social Media Reading Comprehension.- Analysis via Virtual Node Augmented Graph Convolutional Networks.- Bidirectional Macro-level Discourse Parser based on Oracle Selection.- Evidence-Based Document-Level Event Factuality Identification.- Named Entity Recognition Model of Power Equipment Based on Multi-feature Fusion.- Improving Abstractive Multi-document Summarization with Predicate-Argument Structure Extraction.- A Structure-aware Method for Cross-domain Text Classification.- SICM: A Supervised-based Identification and Classification Model for Chinese Jargons Using Feature Adapter Enhanced BERT.- HS2N: Heterogeneous Semantics-Syntax Fusion Network for Document-level Event Factuality Identification.- Pay Attention to the ”Tails”: A Novel Aspect-Fusion Model for Long-Tailed Aspect Category Detection.- Choice-driven Contextual Reasoning for Commonsense Question Answering.- Implicit Discourse Relation Recognition Based on Multi-granularity Context Fusion Mechanism.- Chinese Medical Named Entity Recognition Using External Knowledge.- Neural Networks and Deep Learning.- Trajectory Prediction With Heterogeneous Graph Neural Network.- EEF1-NN: Efficient and EF1 allocations through Neural Networks.- Weighted Adaptive Perturbations Adversarial Training for Improving Robustness.- Improved Network Pruning via Similarity-Based Regularization.- Dynamic-GTN: Learning an Node Efficient Embedding in Dynamic Graph with Transformer.- ICDT: Incremental Context Guided Deliberation Transformer for Image Captioning.- Semantic-Adversarial Graph Convolutional Network for Zero-shot Cross-modal Retrieval.- DAST: Depth-Aware Assessment and Synthesis Transformer for RGB-D Salient Object Detection.- A Vehicle Re-ID Algorithm Based on Channel Correlation Self-Attention and Lstm Local Information Loss.- A Self-Supervised Graph Autoencoder with Barlow Twins.- Few-shot Image Classification Method Based on Fusion of Important Features of Different Scales.- Group Residual Dense Block for Key-Point Detector with One-level Feature.

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Book SynopsisThis two-volume set LNCS 13971 + 13972 constitutes the refereed proceedings of the 18th International Conference on Information for a Better World: Normality, Virtuality, Physicality, Inclusivity, held in March 2023.The 36 full papers and the 46 short papers presented in these proceedings were carefully reviewed and selected from 197 submissions. They cover topics such as: Archives and Records, Behavioral Research, Information Governance and Ethics, AI and Machine Learning, Data Science, Information and Digital literacy, Cultural Perspectives, Knowledge Management and Intellectual Capital, Social Media and Digital Networks, Libraries, Human-Computer Interaction and Technology, Information Retrieval, Community Informatics, and Digital Information Infrastructure.Table of ContentsKnowledge Management and Intellectual Capital.- Enabling Knowledge Management Practices in Museums: Benefits of and Barriers to Achieving Public Value.- How Much Context Do Users Provide in App Reviews? Implications for Requirements Elicitation.- Evaluating Tools for Data Management Plans: A Comparative Study of the DART Rubric and the Belmont Scorecard.- Topic Evolution Analysis Based on Optimized Combined Topic Model: Illustrated as CRISPR Technology.- “Design, Design, and Design Again”: An Information-Architecture Redesign Workflow from Case Studies of a Government Portal and a Learning-management System.- What Does Provenance LACK: How Retrospective and Prospective Met the Subjunctive.- Exploration of Accuracy, Completeness and Consistency in Metadata for Physical Objects in Museum Collections.- Social Media and Digital Networks.- How We Express Ourselves Freely: Censorship, Self-censorship, and Anti-censorship on a Chinese Social Media.- Impact of Social Media on Self-Esteem and Emotions: An Instagram-based Case Study.- Motivations, Purposes, and Means of Creating Information Cocoons Intentionally for Oneself: Looking on the Bright Side.- Left and Right Retweets! Curation Logics During Black History Month.- Libraries.- Another Named Storm! Building Resiliency Through Florida’s Essential Public Libraries.- Digital Experiences in Physical Spaces: Virtual Reality and Public Libraries in Aotearoa New Zealand.- What Do We Do with the Fruits of Open Educational Practices? A Case for Open Educational Collections.- Terminology Preferences of the LGBTQ+ Community: A User Study.- Exploring the Concept of Library Use: A Research Review.- Shared LGBTQ+ Identity in Librarian-Community Partnerships.- Bridging the Gap between Research and Practice in Library Science through Library Society of China: A Pilot Study.- Automation of University Library Operations: An Analysis of the Covid-19 Pandemic Experience in the United Kingdom and Nigeria.- Human-Computer Interaction and Technology.- What Makes a Technology Privacy Enhancing? Laypersons' and Experts' Descriptions, Uses, and Perceptions of Privacy Enhancing Technologies.- A Critique of Using Contextual Integrity to (Re)consider Privacy in HCI.- Audience Video Game Engagement in a Live Streaming Context: Examining the Role of Perceived Influence of Game Streamers from the Self-determination Perspective.- A Surprise Birthday Party in VR: Leveraging Social Virtual Reality to Maintain Existing Close Ties Over Distance.- “Monday Feels Like Friday!” - Towards Overcoming Anxiety and Stress of Autistic Young Adults during Times of Isolation.- Self-Tracking to Manage Chronic Illness: Exploring User Agency in Apps for Diabetes Self-Management.- Autism and Virtual Reality Interventions: Research Trends and Practices.- Towards a Useful Chinese Annotation Tool: An Examination of Annotators’ Practice and Needs.- Information Retrieval.- Similarity Visualizer using Natural Language Processing in Academic Documents of the DSpace in Ecuador.- Information Retrieval Research in Academia and Industry: A Preliminary Analysis of Productivity, Authorship, Impact, and Topic Distribution.- Career-Based Explainable Course Recommendation.- A Benchmark of PDF Information Extraction Tools Using a Multi-Task and Multi-Domain Evaluation Framework for Academic Documents.- Contextualizing Session Resuming Reasons with Tasks Involving Expected Cross-session Searches.- Community Informatics. -Time Lag Analysis of Adding Scholarly References to English Wikipedia: How Rapidly are They Added to and How Fresh are They.- Examining Interest in Open Government Data Through Digital Traces.- “Trapped” by Recommendation Algorithms? A Mixed Methods Study on the Use of Content Recommendation System in Everyday Life in Western China.- Community Design of a Knowledge Graph to Support Interdisciplinary Ph.D. Students.- Potential of Participatory Geographic Information System to Build Environmental Information Ecosystem and Claim Environmental Justice: A Research Agenda for Fisherfolk Community in Bangladesh.- Caring for People, Caring for Their Data: Data Stewardship and Collaborative Care in Social Service Provision for People Experiencing Homelessness.- Is there a Scientific Digital Divide? Information Seeking in the International Context of Astronomy Research.- Digital Information Infrastructures.- The Conceptualization of Digital Inclusion in Government Policy: A Qualitative Content Analysis.- Dublin Core Metadata Created by Kuwaiti Students: Exploration of Quality in Context.- Trustworthy Digital Repository Certification: A Longitudinal Study.- Design Principles for Background Knowledge to Enhance Learning in Citizen Science.- ``We Avoid PDFs'': Improving Notation Access for Blind and Visually Impaired Musicians.- The Rural Informatization Policies in China: The Power Dynamics and Policy Instruments.

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Book SynopsisThis two-volume set LNCS 13971 + 13972 constitutes the refereed proceedings of the 18th International Conference on Information for a Better World: Normality, Virtuality, Physicality, Inclusivity, held in March 2023.The 36 full papers and the 46 short papers presented in these proceedings were carefully reviewed and selected from 197 submissions. They cover topics such as: Archives and Records, Behavioral Research, Information Governance and Ethics, AI and Machine Learning, Data Science, Information and Digital literacy, Cultural Perspectives, Knowledge Management and Intellectual Capital, Social Media and Digital Networks, Libraries, Human-Computer Interaction and Technology, Information Retrieval, Community Informatics, and Digital Information Infrastructure.Table of ContentsArchives and Records.- Are We Missing the Cybersecurity Factors in Recordkeeping?.- Recovering and Reusing Historical Data for Science: Retrospective Curation Practices Across Disciplines.- Receipts: A Case Study of the Sonja Ahlers Archive as Platform Feminism.- Standing on the Outside Looking in: Testing the Concept of Societal Embeddedness from a User and Pluralizing Perspective.- Plus ça change, plus c'est la même chose – The Australian Records Management Case.- Information Sustainability in Rural Bangladesh: the Use of Analogue and Digital Backups.- Measuring Users’ Awareness of Content Recommendation Algorithm: A Survey on Douyin Users in Rural China.- Investigating Factors Influencing Open Government from a Country’s Perspective.- Lex Informatica and Freedom of Expression: Reflections on the Regulation of Internet Trolling Behaviors.- AI & Machine Learning.- “That’s not Damning with Faint Praise”: Understanding the Adoption of Artificial Intelligence for Digital Preservation Tasks.- Effects of Increasing Working Opportunity on Result Quality in Labor-Intensive Crowdsourcing.- Aligning Visual and Lexical Semantics.- An Analysis of Classification Approaches for Hit Song Prediction using Engineered Metadata Features with Lyrics and Audio.- How Many Features Do We Need to Identify Bots on Twitter?.- Data Science.- Disparity in the Evolving COVID-19 Collaboration Network.- Text Mining and Visualization of Political Party Programmes Using Keyword Extraction Methods: The Case of Portuguese Legislative Elections.- Exploring the Impact of the Quality of Social Media Early Adopters on Vaccine Adoption.- Characterizing Data Practices in Research Papers across Four Disciplines.- Information and Digital literacy.- Fighting Misinformation: Where Are We and Where to Go.- The Potential of Digital Literacy to Curb Problematic Information: An Integrative Literature Review.- Coding Funds of Knowledge in [media lab] Student Stories about Technologies.- An Exploratory Study of Intergenerational Technical Help from the Youth’s Perspective.- Exploring the Association Between Multiple Classifications and Journal Rankings.- The Design, Development, and Implementation of an LIS General Education Course for Non-LIS University Students in the Philippines.- “It's nice to Mix up the Rhythm”: Undergraduates’ Experiences in a Large Blended Learning Course in Information Science in the Context of COVID-19.- Visual Information Processing in Virtual Reality: Merging Theory and Practice.- From Noisy Data to Useful Color Palettes: One Step in Making Biodiversity Data FAIR.- Cultural Perspectives.- “Will the Day Ever Come When We Will Be Judged on Our Merit and Not on Our Blackness?” The Black Caucus of the American Library Association and the Long Freedom Struggle in the United States, 1970-1975.- How Inclusive are the International Conferences? Attending Conferences in an Unequal World.- Locating Black Information Lives: “Scoping” the literature on African American Genealogical Researchers.- Do you speak meme? A Dynamic Digital Language for the Information Society.

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Book SynopsisThis book constitutes the refereed post-conference proceedings the 14th TPC Technology Conference on Performance Evaluation and Benchmarking, TPCTC 2022, which was held in Sydney, NSW, Australia, on September 5, 2022.The 5 revised full papers presented were carefully selected from 12 submissions. The conference focuses on Pick and Mix Isolation Levels; Benchmarking considerations for Trustworthy and Responsible AI (Panel); Preliminary Scaling Characterization with TPCx-AI and New Initiatives. Table of ContentsPick and Mix Isolation Levels: Mixed Serialization Graph Testing.- BODS: A Benchmark on Data Sortedness.- Disaggregated Database Management Systems (Panel).- TPCx-AI on NVIDIA Jetson.- More the Merrier: Comparative evaluation of TPCx-AI and MLPerf Benchmarks for AI.- Preliminary Scaling Characterization with TPCx-AI.- 4mbench: Performance Benchmark of Manufacturing Business Database.- Benchmarking considerations for Trustworthy and Responsible AI (Panel).- TPCx-AI: First Adopter's Experience Report.- New Initiatives in the TPC.

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Book SynopsisThis book constitutes the refereed proceedings of the 29th International Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2023, which took place in Barcelona, Spain, during April 17-20, 2023.The 12 full technical design and scientific evaluation papers, 8 short research previews and vision papers, and 5 experience reports presented in this volume were carefully reviewed and selected from 78 submissions. They were organized in topical sections as follows: Requirements communication and conceptualization; NLP and machine learning for AI; RE for artificial intelligence; crowd RE; and RE in practice.Table of ContentsRequirements Communication and Conceptualization.- Requirements Engineering Issues Experienced by Software Practitioners: A Study on Stack Exchange.- An Empirical Study of the Intuitive Understanding of a Formal Pattern Language.- Supporting Shared Understanding in Asynchronous Communication Contexts.- Bringing Stakeholders Along for the Ride: Towards Supporting Intentional Decisions in Software Evolution.- Understanding the Role of Human-Related Factors in Security Requirements Elicitation.- Scope Determined (D) and Scope Determining (G) Requirements: A New Categorization of Functional Requirements.- NLP and Machine Learning for AI Using Language Models for Enhancing the Completeness of Natural-language Requirements.- Requirement or not, that is the question: A case from the railway industry 97.- Summarization of Elicitation Conversations to Locate Requirements Relevant Information.- Ontology-based Automatic Reasoning and NLP for Tracing Software Requirements into Models with the OntoTrace Tool.- Requirements classi cation using fastText and BETO in Spanish documents.- RE for Artificial Intelligence.- Exploring Requirements for Software that Learns: A Research Preview.- Requirements Engineering for Automotive Perception Systems: an Interview Study.- An investigation of challenges encountered when specifying training data and runtime monitors for safety critical ML applications.- A Requirements Engineering Perspective to AI-based Systems Development: A Vision Paper.- Out-of-Distribution detection as Support for Autonomous Driving Safety Lifecycle.- Crowd RE.- Automatically Classifying Kano Model Factors in App Reviews.- Data-driven Persona Creation, Validation, and Evolution.- Towards a Cross-Country Analysis of Software-related Tweets.- Integrating Implicit Feedback into Crowd Requirements Engineering - a Research Preview.- RE in Practice.- Authoring, Analyzing, and Monitoring Requirements for a Lift-Plus-Cruise Aircraft.- Knowns and Unknowns: An Experience Report on Discovering Tacit Knowledge of Maritime Surveyors.- Feel It, Code It: Emotional Goal Modelling for Inclusive Design.- A Product Owner's Navigation in Power Imbalance Between Business and IT: An Experience Report.- Eliciting Security Requirements - an Experience Report.

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Book SynopsisThis book constitutes the refereed post-conference proceedings of the 14th BenchCouncil International Symposium on Benchmarking, Measuring, and Optimization, Bench 2022, held virtually in November 2022.The 10 revised full papers presented were carefully reviewed and selected from 20 submissions. The papers are organized in topical sections named: Architecture and System, Algorithm and Dataset, Network and Memory.Table of Contents​Architecture and System.- A Quantitative Analysis of OpenMP Task Runtime Systems.- EAIBench: An Energy Efficiency Benchmark for AI Training.- MSDBench: Understanding the Performance Impact of Isolation Domains on Microservice-based IoT Deployments.- Algorithm and Dataset.- ShoeMaster: A Benchmark for Sketch2Image Translation of Shoes.- Open Source Software Supply Chain Recommendation Based on Heterogeneous Information Network.- BasicTS: An Open Source Fair Multivariate Time Series Prediction Benchmark.- Benchmarking Object Detection Models with Mummy Nuts Datasets.- Network and Memory.- An Analysis of Long-tailed Network Latency Distribution and Background Traffic on Dragonfly+.- MCCBench: A C10M Benchmark Oriented to Interactive Network Services.- STAMP-Rust: Language and Performance Comparison to C on Transactional Benchmarks.

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Book SynopsisThe purpose of the Reasoning Web Summer School is to disseminate recent advances on reasoning techniques and related issues that are of particular interest to Semantic Web and Linked Data applications. It is primarily intended for postgraduate students, postdocs, young researchers, and senior researchers wishing to deepen their knowledge. As in the previous years, lectures in the summer school were given by a distinguished group of expert lecturers. The broad theme of this year's summer school was “Reasoning in Probabilistic Models and Machine Learning” and it covered various aspects of ontological reasoning and related issues that are of particular interest to Semantic Web and Linked Data applications. The following eight lectures were presented during the school: Logic-Based Explainability in Machine Learning; Causal Explanations and Fairness in Data; Statistical Relational Extensions of Answer Set Programming; Vadalog: Its Extensions and Business Applications; Cross-Modal Knowledge Discovery, Inference, and Challenges; Reasoning with Tractable Probabilistic Circuits; From Statistical Relational to Neural Symbolic Artificial Intelligence; Building Intelligent Data Apps in Rel using Reasoning and Probabilistic Modelling.Table of ContentsExplainability in Machine Learning.- Causal Explanations and Fairness in Data.- Statistical Relational Extensions of Answer Set Programming.- Vadalog: Its Extensions and Business Applications.- Cross-Modal Knowledge Discovery, Inference, and Challenges.- Reasoning with Tractable Probabilistic Circuits.- From Statistical Relational to Neural Symbolic Artificial Intelligence.- Building Intelligent Data Apps in Rel using Reasoning and Probabilistic Modelling.

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Book SynopsisThis book constitutes the refereed conference proceedings of the 21st International Conference on Web-Based Learning, ICWL 2022 and 7th International Symposium on Emerging Technologies for Education, SETE 2022, held in Tenerife, Spain in November 21–23, 2022. The 45 full papers and 5 short papers included in this book were carefully reviewed and selected from 82 submissions. The topics proposed in the ICWL&SETE Call for Papers included several relevant issues, ranging from Semantic Web for E-Learning, through Learning Analytics, Computer-Supported Collaborative Learning, Assessment, Pedagogical Issues, E-learning Platforms, and Tools, to Mobile Learning.In addition to regular papers, ICWL&SETE 2022 also featured a set of special workshops and tracks: The 5th International Workshop on Educational Technology for Language Learning (ETLL 2022), The 6th International Symposium on User Modeling and Language Learning (UMLL 2022), Digitalization in Language and Cross-Cultural Education, First Workshop on Hardware and software systems as enablers for lifelong learning (HASSELL). Table of ContentsICWL 2022. International Conference on Web-based Learning.- Digital Divide, Local and Global? Surveying Augmented Reality Educational Usage in Europe and South America.- Gamifying Experiential Learning Theory.- The Learning Analytics System that improves the teaching-learning experience of MOOC instructors and students.- Intelligent Instructional Design via Interactive Knowledge Graph Editing.- A two-step process for analysing teacher’s behaviors using a scenario-based platform.- New digital tools to teach soft skills and sustainability for the labor market: gamification as a tool for competency acquisition in realistic contexts.- Pocket English Master – Language Learning with Reinforcement Learning, Augmented Reality and Artificial Intelligence.- : The design of an adaptive tool supporting formative assessment in data science courses.- Serious games for social problems.- Contextual Ontology-based Feature Selection for Teachers.- Automated Assessment in Computer Science: A Bibliometric Analysis of the Literature.- Can Educators Develop Digital Role-Playing Games?.- Constructing Low-Redundant and High-Accuracy Knowledge Graphs for Education.- Extracting the Language of the Need for Urgent Intervention in MOOCs by Analysing Text Posts.- Challenges in the Implementation of Web Based Digital Content Repository for Teachers in Bulgaria.- Providing Meaningful Digital Competence Assessment Feedback for Supporting Teachers Professional Development.- An Intelligent Chatbot Supporting Students in Massive Open Online courses.- Using a MOOC to Train Teachers to Design and Deliver MOOCs.- Designing a Game-Based Learning Environment for College students’ campus learning.- Towards a Metaverse of Knowledge: A Constructivist Proposition on Immersive Learning and Visual Literacy.- SETE 2022. International Symposium on Emerging Technologies for Education.- Acceptance evaluation of a serious game to address gender stereotypes in Mexico.- Learning experience design with Maker Education.- Mobile English Learning: A Meta-analysis.- 360° Tour as an Interactive Tool for Virtual Laboratories: A Proposal.- Wearable Devices for Smart Education Based on Sensing Data: Methods and Applications.- The Use of Verbs in International Chinese Language Education.- A tangible learning application from the 3D printer for the practical teaching of meat cutting in inclusive vocational education.- A New World of Open Space: Reflections and Perspectives of Chinese scholars on the digital transformation of education and future education research.- Game-based co-creation method for children and adolescents with medical complex disease.- A Deep Learning System to Help Students Build Concept Maps.- Flexible heuristics for supporting recommendations within an AI platform aimed at non-expert users.- The 5th International Workshop on Educational Technology for Language Learning (ETLL 2022).- Grammatical Strategies for Clause Combining and the Acquisition by Chinese EFL Learners.- Corpus-Based Sociolinguistic Study of Undergraduate English Writing and Its Implications for Business English Teaching.- Learner Portrait in Hybrid English Listening and Speaking Courses.- Conceptualizing a Gamified Flipped Model for English as Second-Language Classes in Secondary Schools: A Comparative Study between Different Age Groups.- Using Video Dubbing to Foster EFL College Students' English News Broadcasting Ability.- The 6th International Symposium on User Modeling and Language Learning (UMLL 2022).- Exploring Learning Engagement of Higher Vocational College Students in MALL.- Flipped data science classrooms with peer instruction and just-in-time teaching: students’ perceptions and learning experiences.- Using vicarious learning feedback videos as self-directed learning resources in a LMOOC context.- Blended Learning Approach in English Teaching: Effectiveness and Challenges.- Digitalization in Language and Cross-Cultural Education.- The Structure of Motivation in Online Translation Learning and the Role of L2 Motivation Self System.- Transediting of Children’s Literature in the Age of Technology.- A Study on Knowledge Network Acceptability Facilitated by a Computer-Aided Translation Learning Platform.- On the Design of Computer-Aided Translation Teaching.- The Visualizing and Transferring of Communicative Rhetorical Modelling in Active Reading-Writing Teaching Based on Cognitive Apprenticeship: Case Analyses Facilitated by Rain-classroom and Pigai.org.- An Empirical Study on Knowledge-Network-Based Translation Learning.- Designing Blended Learning Model for Medical English Course Based on POA.- Application of the Formative Assessment Model in College English Course Assisted by Digital Platforms---Taking HFUT as an Example.- Translation Skills Training Through In-Depth Analysis: With Special Reference to Online Self-Learning on Textwells.- 1st Workshop on Hardware and software systems as enablers for lifelong learning (HASSELL).- A Theoretical Framework for Computer Vision Learning Environment.

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Book SynopsisThis volume constitutes poster papers and late breaking results presented during the 24th International Conference on Artificial Intelligence in Education, AIED 2023, Tokyo, Japan, July 3–7, 2023.The 65 poster papers presented were carefully reviewed and selected from 311 submissions. This set of posters was complemented with the other poster contributions submitted for the Poster and Late Breaking results track of the AIED 2023 conference. Table of ContentsOur Interactions Between AI and Education: Broadening Our Perspective on What AI Can Offer Education.- Computational Models of Learning: Deepening Care and Carefulness in AI in Education.- Towards the Future of AI-augmented Human Tutoring in Math Learning.- Empowering Education with LLMs - the Next-Gen Interface and Content Generation.- Conducting Rapid Experimentation with an Open-source Adaptive Tutoring System.- Workshop on AI Education in K-12.- Tutorial: Educational Recommender Systems.- Equity, Diversity, and Inclusion in Educational Technology Research and Development.- AI and Educational Policy: Bridging Research and Practice.- Automated assessment and guidance of project work.- How to Open Science: Promoting Principles and Reproducibility Practices within the Artificial Intelligence in Education Community.- AI and Education. A view through the lens of human rights, democracy and the rule of law..- AI in Education. Coming of Age. The Community Voice.- TUTORIAL: Designing, Building and Evaluating Intelligent Psychomotor AIED systems (IPAIEDS@AIED2023).- Intelligent Textbooks.- AI to Support Guided Experiential Learning.- An Automated Approach to Assist Teachers in Recommending Groups of Students Associated with Collaborative Learning Techniques using Learning Paths in Virtual Learning Environments.- Structures in Online Discussion Forums: Promoting Inclusion or Exclusion?.- Assessment in Conversational Intelligent Tutoring Systems: Are contextual embeddings really better?.- A Recommendation System for Nurturing Students' Sense of Belonging.- Desirable Difficulties? The Effects of Spaced and Interleaved Practice in an Educational Game.- Evaluating a conversational agent for second language learning aligned with the school curriculum.- EngageMe: Assessing Student Engagement in Online Learning Environment Using Neuropsychological Tests.- Exploring the Effects of "AI-generated" Discussion Summaries on Learners’ Engagement in Online Discussions.- Building Educational Technology Quickly and Robustly with an Interactively Teachable AI.- Investigating the impact of the mindset of the learners on their behaviour in a computer-based learning environment.- Leave No One Behind - A Massive Online Learning Platform Free For Everyone.- Innovative Software to Efficiently Learn English through Extensive Reading and Personalized Vocabulary Acquisition.- A Student-Teacher Multimodal Interaction Analysis System for Classroom Observation.- Rewriting Math Word Problems to Improve Learning Outcomes for Emerging Readers: A Randomized Field Trial in Carnegie Learning's MATHia.- Automated Essay Scoring Incorporating Multi-level Semantic Features.- Promising Long Term Effects of ASSISTments Online Math Homework Support.- Using Decomposed Prompting to Answer Questions on a Course Discussion Board.- Consistency of Inquiry Strategies Across Subsequent Activities in Different Domains.- Improving the Item Selection Process with Reinforcement Learning in Computerized Adaptive Testing.- The Role of Social Presence in MOOC Students’ Behavioral Intentions and Sentiments Toward the Usage of a Learning Assistant Chatbot: A Diversity, Equity, and Inclusion Perspective Examination.- Audio Classifier for Endangered Language Analysis and Education.- Quantifying Re-Engagement in Minecraft.- Teamwork Dimensions Classification Using BERT.- Data augmentation with GAN to improve the prediction of at-risk students in a virtual learning environment.- Prediction of Students' Self-Confidence Using Multimodal Features in an Experiential Nurse Training Environment.- Learning from Auxiliary Sources in Argumentative Revision Classification.- Exploring the Effect of Autoencoder Based Feature Learning for a Deep Reinforcement Learning Policy for Providing Proactive Help.- Who and How: Using Sentence-level NLP to Evaluate Idea Completeness.- Comparing Different Approaches to Generating Mathematics Explanations Using Large Language Models.- Analyzing Response Times and Answer Feedback Tags in an Adaptive Assessment.- Enhancing the Automatic Identification of Common Math Misconceptions Using Natural Language Processing.- User Adaptive Language Learning Chatbots with a Curriculum.- Learning about circular motion of celestial bodies with interactive qualitative representations.- Desirable Difficulties? The Effects of Spaced and Interleaved Practice in an Educational Game.- GPTutor: a ChatGPT-powered programming tool for code explanation.- The Good and Bad of Stereotype Threats: Understanding Its Effects on Negative Thinking and Learning Performance in Gamified Tutoring Systems.- Practice of Tutoring Support System Based on Impasse Detection for Face-to-Face and On-demand Programming Exercises.- Investigating Patterns of Tone and Sentiment in Teacher Written Feedback Messages.- Performance by Preferences – An Experiment in Language Learning to argue for Personalization.- Emotionally Adaptive Intelligent Tutoring System To Reduce Foreign Language Anxiety.- Amortised Design Optimization for Item Response Theory.- Early Prediction of Student Performance in Online Programming Courses.- Classifying Mathematics Teacher Questions to Support Equitable and Inclusive Mathematical Teaching.- Multimodal Task-Based Language Learning System with Personalization and Dynamic Adaptation.- Bayesian Analysis of Adolescent STEM Interest Using Minecraft.- Automatic Slide Generation Using Discourse Relations.- RoboboITS: a Simulation-Based Tutoring System to Support AI Education through Robotics.- Towards analyzing psychomotor group activity for collaborative teaching using neural networks.- Warming up the Cold Start: Adaptive Step Size Method for the Urnings Algorithm.- Gamiflow: A Flow Theory-Based Gamification Framework for Learning Scenarios.- Using large language models to develop readability formulas for educational settings.- A quantitative study of NLP approaches to question difficulty estimation.- Learning from AI: An Interactive Learning Method Using a DNN Model Incorporating Expert Knowledge as a Teacher.- AI Cognitive - Based Systems Supporting Learning Processes.- Modeling problem-solving strategy invention (PSSI) in an online math learning environment.- A SHAP-inspired method for computing interaction contribution in deep knowledge tracing.- Analyzing Users’ Interaction with Writing Feedback and Their Effects on Writing Performance.- Annotating Educational Dialog Act with Data Augmentation in Online One-on-one Tutoring.- Improving Comprehension of Program Examples through Automatic Assessment and Scaffolding of Self-Explanations.- Using Transformer Language Models to Provide Formative Feedback in Intelligent Textbooks.- Utilizing Natural Language Processing for Automated Assessment of Classroom Discussion.- It’s Good to Explore: Investigating Silver Pathways and the Role of Frustration during Game-based Learning.- Ghost in the machine: AVATAR, a prototype for supporting student authorial voice.- Evaluating Language Learning Apps for Behaviour Change Using the Behaviour Change Scale.- Evaluating the Rater Bias in Response Scoring in Digital Learning Platform: Analysis of Student Writing Styles.- Generative AI for learning: Investigating the potential of learning videos with synthetic virtual instructors.- Virtual Agent Approach for Teaching the Collaborative Problem Solving Skill of Negotiation.- How Useful are Educational Questions Generated by Large Language Models?.- Towards Extracting Adaptation Rules From Neural Networks.- A Support System to Help Teachers Design Course Plans Conforming to National Curriculum Guidelines.- Predicting Student Scores Using Browsing Data and Content Information of Learning Materials.- Preserving Privacy of Face and Facial Expression in Computer Vision Data Collected in Learning Environments.- Item difficulty constrained uniform adaptive testing.- "A Fresh Squeeze on Data”: Exploring Gender Differences in Self-Efficacy and Career Interest in Computing Science and Artificial Intelligence among Elementary Students.- Simulating Learning From Language and Examples.- Learner Perception of Pedagogical Agents.- Using intelligent tutoring on the first steps of learning to program: affective and learning outcomes.- A Unified Batch Hierarchical Reinforcement Learning Framework for Pedagogical Policy Induction with Deep Bisimulation Metrics.- Impact of Experiencing Misrecognition by Teachable Agents on Learning and Rapport.- Nuanced Growth Patterns of Students with Disability.- Visualizing Self-Regulated Learner Profiles in Dashboards: Design Insights from Teachers.- Classification of brain signals collected during a rule learning paradigm.- Q-GENius: A GPT based modified MCQ generator for identifying learner deficiency.- Towards Automatic Tutoring of Custom Student-Stated Math Word Problems.- A Software Platform for Evaluating Student Essays in Interdisciplinary Learning with Topic Classification Techniques.- Automated Scoring of Logical Consistency of Japanese Essays.- Exercise Generation Supporting Adaptivity in Intelligent Tutoring Systems.- Context Matters: A Strategy to Pre-train Language Model for Science Education.- Identifying Usability Challenges in AI-based Essay Grading Tools.- Enhancing Engagement Modeling in Game-Based Learning Environments with Student-Agent Discourse Analysis.-Understanding the Impact of Reinforcement Learning Personalization on Subgroups of Students in Math Tutoring.- Automatic Assessment of Comprehension Strategies from Self-Explanations using Transformers and Multi-Task Learning.- Ensuring Fairness of Human- and AI-generated Test Items.- Deidentifying Student Writing with Rules and Transformers.- Comparative Analysis of Learnersourced Human-Graded and AI-Generated Responses for Autograding Online Tutor Lessons.- Using Similarity Learning with SBERT to Optimize Teacher Report Embeddings for Student Performance Prediction.- Using simple text mining tools to power an intelligent learning system for lengthy, domain specific texts.- Question Classification with Constrained Resources: A Study with Coding Exercises.- Even boosting stereotypes increase the gender gap in gamified tutoring systems: an analysis of self-efficacy, flow and learning.- DancÆR: Efficient and Accurate Dance Choreography Learning by Feedback Through Pose Classification.- Intelligence Augmentation in Early Childhood Education: A Multimodal Creative Inquiry Approach.- Promoting Students’ Pre-class Preparation in Flipped Classroom with Kit-build Concept Map.- AIED Unplugged: Leapfrogging the Digital Divide to Reach the Underserved.- How can A/B testing at scale accelerate learning outcomes in low and middle income environments?.- A Case Study on AIED Unplugged Applied to Public Policy for Learning Recovery Post-Pandemic in Brazil.- Enabling individualized and adaptive learning – The value of an AI-based recommender system for users of adult and continuing education platforms.- “Learning Recorder” that Helps Lesson Study of Collaborative Learning.- “Learning Note” that Helps Teachers’ Lesson Study Across Time and Space.

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Book SynopsisThe two-volume set, LNCS 14146 and 14147 constitutes the thoroughly refereed proceedings of the 34th International Conference on Database and Expert Systems Applications, DEXA 2023, held in Penang, Malaysia, in August 2023.The 49 full papers presented together with 35 short papers were carefully reviewed and selected from a total of 155 submissions. The papers are organized in topical sections as follows:Part I: Data modeling; database design; query optimization; knowledge representation; Part II: Rule-based systems; natural language processing; deep learning; neural networks.Table of ContentsRule-Based Systems.- RD-Classifier: Reduced Dimensionality Classifier for Alzheimer‘s Diagnosis Sup-port System.- User Interactions-aware Knowledge Graphs for Recommender Systems.- How Does the System Perceive Me? --- A Transparent and Tunable Recommender System.- MERIHARI-Area Tour Planning by Considering Regional Characteristics. -Financial Argument Quality Assessment in Earnings Conference Calls.- Explaining Decisions of Black-box Models using BARBE.- Efficient Video Captioning with Frame Similarity-based Filtering.- Trace-based Anomaly Detection with Contextual Sequential Invocations.- Fusing Fine-grained Information of Sequential News for Personalized News Recommendation.- A Finite- Domain Constraint-based Approach on the Stockyard Planning Problem.- Data Analytics Framework for Smart Waste Management Optimisation: A Key to Sustainable Future for Councils and Communities.- Natural Language Processing.- Hierarchy-aware Bilateral-Branch Network for Imbalanced Hierarchical Text Classification.- Multi-Feature and Multi-Channel GCNs for Aspect Based Sentiment Analysis.- Knowledge Injection for Aspect-Based Sentiment Classification.- Towards Ensemble-based Imbalanced Text Classification using Metric Learning.- Target and Precursor named entities recognition from scientific texts of high-temperature steel using deep neural network.- Enabling PII Discovery in Textual Data via Outlier Detection. -Deep Learning.- An Efficient Embedding Framework for Uncertain Attribute Graph.- Double-layer Attention for Long Sequence Time-Series Forecasting.- Multi-core Adaptive Merging of the Secondary Index for LSM-based Stores.- CAGAIN: Column Attention Generative Adversarial Imputation Networks.- CF-SAFF: Collaborative Filtering based on Self-Attention Mechanism and Feature Fusion.- Except-Condition Generative Adversarial Network for Generating Trajectory Data. - Next POIs Prediction for Group Recommendations: Influence-based Deep Learning Model. - Interpreting Deep Text Quantification Models.- NExtGCN: Modeling Node Importance of Graph Convolution Network by Neighbor Excitation for Recommendation.- Dual Congestion-aware Route Planning for Tourists by Multi-agent Reinforcement Learning.- Subspace Clustering Technique Using Multi-Objective Functions for Multi-class Categorical Data.- Neural Networks.- Multi-task Graph Neural Network for Optimizing the Structure Fairness.- Few-Shot Multi-Label Aspect Category Detection Utilizing Prototypical Network with Sentence-Level Weighting and Label Augmentation.- Toward Healthy Aging: Temporal Regression for Disability Prediction and Warning Decision-Making.- A Label Embedding Method via Conditional Covariance Maximization for Mul-ti-label Classification.- Integrally Private Model Selection for Deep Neural Networks.- Gaussian Process Component Mining with the Apriori Algorithm.- Learnable Filter Components For Social Recommendation.- Efficient Machine Learning-Based Prediction of CYP450 Inhibition.- A Machine-Learning Framework for Supporting Content Recommendation via User Feedback Data and Content Profiles in Content Managements Systems.- Fine-tuning Pre-Trained Model for Consumer Fraud Detection from Consumer Reviews.- Deep Multi-Interaction Hidden Interest Evolution Network for Click-through Rate Prediction.- Temporal Semantic Attention Network for Aspect-Based Sentiment Analysis.- Celestial Machine Learning from Data to Mars and Beyond with AI Feynman.

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Book SynopsisThis book constitutes the refereed proceedings of the 17th International Conference on Software Architecture, ECSA 2023, held in Istanbul, Turkey, in September 2023.The 16 full papers and the 9 short papers included in this volume were carefully reviewed and selected from 71 submissions. They address the most recent, innovative, and significant findings and experiences in the field of software architecture research and practice.Table of ContentsQuality in Software Architecture.- Architecture Modeling and Design.- Artificial Intelligence and Autonomous Systems.- Software Architecture Implementation and Deployment.- Software Architecture Documentation.

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Book SynopsisThis book constitutes the proceedings of the 18th European Conference on Technology Enhanced Learning, EC-TEL 2023, held in Aveiro, Portugal, in September 2023.The 34 full papers included in this volume were carefully reviewed and selected from 126 submissions. Additionally, 24 posters and 16 demonstration papers were included in the proceedings. The papers focus on sustainable teaching and learning practices in the post-pandemic educational ecosystem. Table of ContentsAn agile concept inventory methodology to detect large sets of student misconceptions in programming language courses.- A Transformer-Based Approach for the Automatic Generation of Concept-Wise Exercises to Provide Personalized Learning Support to Students.- Generative Pre-trained Transformers for Coding Text Data? An Analysis with Classroom Orchestration Data.- What Makes Problem-Solving Practice Effective? Comparing Paper and AI Tutoring.- Exploring Indicators for Collaboration Quality and its Sub-Constructs in Classroom Settings using Multimodal Learning Analytics.- The Promise of Physiological Data in Collaborative Learning: A Systematic Literature Review.- A Learning Design to support transfer of training in Continuing Education.- Implementing a VR/AR Tool in a European University: Priorities and Challenges.- Student Perception of Social Comparison in Online Learning - An Exploratory Study.- Relation between Student Characteristics, Git Usage and Success in Programming Courses.- The "How" Matters: Evaluating different Video Types for Cybersecurity MOOCs.- Role of Multimodal Systems in Computer-Assisted Learning: A Scoping Review.- Broader and Deeper: A Multi-Features with Latent Relations BERT Knowledge Tracing Model.- Why you should give your Students Automatic Process Feedback on their Collaboration: Evidence from a Randomized Experiment.- Interactive Web-based Learning Materials vs. Tutorial Chatbot: Differences in User Experience.- Assessing the Quality of Multiple-Choice Questions: Automated Methods for Identifying Item-Writing Flaws.- Early Prediction of Learners At-risk of Failure in Online Professional Training Using a Weighted Vote.- How to characterize and analyze the computational thinking skills of a learning game?- Evaluating ChatGPT’s Decimal Skills and Feedback Generation to Students’ Self-explanations in a Digital Learning Game.- Designing a Revision system: An Exploratory Qualitative Study to Identify the Needs of French Teachers and Students.- Evaluation of a hybrid AI-human recommender for CS1 instructors in a real educational scenario.- Evaluating the Impact and Usability of an AI-Driven Feedback System for Learning Design.- Single or Multi-page Learning Analytics Dashboards? Relationships between Teachers’ Cognitive Load and Visualisation Literacy.- Designing technology for doctoral persistence and well-being: Findings from an two-country value-sensitive inquiry into student progress.- A critical consideration of the ethical implications in learning analytics as data ecology.- Learning to Give Useful Hints: Assistance Action Evaluation and Policy Improvements.- Understanding CSCL Peer Feedback Contributions: An Automated Content Analysis Approach.- AI and blinded for review to educate adolescents about Social Media Algorithms: Insights about AI overdependence, trust and awareness.- Analyzing Learners' Perception of Indicators in Student-Facing Analytics: A Card Sorting Approach.- Here or There? Differences of On-Site and Remote Students’ Perceptions of Usability, Social Presence, Engagement, and Learning in Synchronous Hybrid Classrooms.- Exploring the Potential of Immersive Virtual Environments for Learning American Sign Language.- Towards Improving the Reliability and Transparency of ChatGPT for Educational Question Answering.- How Do Teachers Search for Learning Resources? a Mixed Method Field Study.- Automated Detection of Students' Gaze Interactions in Collaborative Learning Videos: A Novel Approach.- Pedagogically-informed Implementation of Reinforcement Learning on Knowledge Graphs for Context-aware Learning Recommendations.- Designing teacher professional development to address student stress in the post-pandemic educational ecosystem.- Lateral Reading Against Misinformation: The Cognitive Processing Level Mediates the Intervention Effect on the News Credibility Assessment Performance.- Exploring students' problem-solving challenges in self-regulated learning through training video prompts.- Facilitating and hindering aspects of Technology-Enriched Challenge-Based Learning in a European University International Network Initiative.- Digitally supported learning processes in schools. Implicit theories on learning activities with digital media: An interview study with teachers on the implementation.- Transferring Digital Competences for Teaching from Theory into Practice Through Reflection.- “Feedback is not embarrassing but helpful :)“ – an exploratory study on the applicability of constructive feedback checklists for lecturers in online learning settings.- Enhancing Learning Mobility with A Community-Based Micro-Credential e-Portfolio Platform Service for Higher Education.- Discussing Objective Performance Metrics for the Application of Extended Reality in Neurosurgical Training: Towards Consistent Domain-Wide Agreement.- Multimodal Analytics for Collaborative Teacher Reflection of Human-AI Hybrid Teaching: Design Opportunities and Constraints.- Computational Analysis of Audio Recordings of Piano Performance for Automatic Evaluation.- Barrier-free dissemination of medical knowledge: Challenges and solutions for individuals with visual impairments.- Process mining on students' web learning traces: a case study with an ethnographic analysis.- “TRINE 4D Pedagogical Model”: Designing Teaching Scenarios for Using Telepresence Robots in Education.- Traceability by Design: Design of an Interactive System to Improve the Automatic Generation of Git Traces during a Learning Activity.- Towards Designing and Evaluating an Adaptable Assistance System for Technology-Enhanced Vocational Education.- Learning with the School Library: Mapping Technology Enhanced Learning Underpinnings.- Learning Path Recommendation from an Inferred Learning Space.- Exploring barriers for the acceptance of Smart Learning Environment automated support.- FAMS, a Formative Assessment Management System for Generating Individualised Feedback.- The Added Value of Simulations in 3D Virtual Worlds for Professional Training of First Aid Medical Teams.- Support Mechanisms and Value Creation in Multi-Stakeholder Networks for Digital Innovation in Education: A Cross-Country Study.- Live Coding and Instant Feedback on Common Issues in Large Lectures.- Supporting Remote Students through Utilizing Web-based Exercise-templates and a Mobile Learning Chatbot for Creating and Interacting with Learning Materials.- An Evaluation System to Trace the Usage of the OER Conversion Tool (convOERter).- Technology Enhanced Training in Medical Multi-User Scenarios.- A teacher professional development tool for creating and sharing research lessons on evidence-based teaching strategies.- CERSEI: Cognitive Effort based Recommender System for Enhancing Inclusiveness.- A Student-Centered Learning Dashboard Towards Course Goal Achievement in STEM Education.- Augmented Intelligence in Tutoring Systems: A Case Study in Real-time Pose Tracking to Enhance the Self-Learning of Fitness Exercises.- The HCA Framework – a storification model to support and facilitate gamification design.- Evaluating Usability and User Feedback in an Immersive Virtual Reality Environment for Computer Science Education.- Responsive Narrativity in Gamified Situational Judgment Tests: A Dynamic System for Enhanced Soft Skills Development.- LA-ReflecT: multimodal data-informed reflective learning platform.- Statoodle: A learning analytics tool to analyze Moodle students' actions and prevent cheating.- An enrollment learning dashboard to enhance decision-making for students and advisors.- xAPI Logging in Moodle.- PEER: Empowering Writing with Large Language Models.- Using accessible motion capture in educational games for sign language learning

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Book SynopsisThis book constitutes the proceedings of the 16th Brazilian Symposium on Bioinformatics on Advances in Bioinformatics and Computational Biology, BSB 2023, which took place in Curitiba, Brazil, in June 2023. The 11 full papers and 3 short papers presented in this volume were carefully reviewed and selected from 24 submissions. The papers focus on bioinformatics, computational biology, Biological Databases, Biological Networks, Cheminformatics, Evolutionary Genomics, Computational Proteomics, Systems Biology, Drug Design, Genomics, Machine Learning applications in Bioinformatics, Metagenomics, Molecular Docking and Modeling, Molecular Evolution and Phylogenetics, Protein Structure and Modeling, Proteomics, Transcriptomics, Single-Cell Analysis, Workflows in Bioinformatics. Table of ContentsBlock Interchange and Reversal Distance on Unbalanced Genomes.- circTIS: a weighted degree string kernel with support vector machine tool for translation initiation sites prediction in circRNA.- Evaluating the molecular-electronic structure and the antiviral effect of functionalized heparin on graphene oxide through ab initio computer simulations and molecular docking.- Make No Mistake! Why Do Tools Make Incorrect Long Non-Coding Rna Classification?.- Spectrum-Based Statistical Methods for Directed Graphs with Applications in Biological Data.- Feature Selection Investigation in Machine Learning Docking Scoring Functions.- Using natural language processing for context identification in COVID-19 literature.- A framework for inference and selection of cell signaling pathway dynamic models.- Intentional Semantics for Molecular Biology.- transcAnalysis: A Snakemake Pipeline for Differential Expression and Post-Transcriptional Modification Analysis.- Peptide-protein interface classification using convolutional neural networks.- A Power Law Semantic Similarity from Gene Ontology.- Gene Networks Inference by Reinforcement Learning Approach.- Exploring Identifiability in Hybrid Models of Cell Signaling Pathways.

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