Applied computing Books

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 refereed proceedings of the 46th German Conference on Artificial Intelligence, KI 2023, which took place in Berlin, Germany, in September 2023.The 14 full and 5 short papers presented were carefully reviewed and selected from 78 submissions. The papers deal with research on theory and applications across all methods and topic areas of AI research.Table of ContentsLESS is More: LEan Computing for Selective Summaries.- Optimisation of Matrix Production Recon guration with Reinforcement Learning.- CHA2: CHemistry Aware Convex Hull Autoencoder Towards InverseMolecular Design.- Ontology Pre-training for Poison Prediction.- A novel incremental learning strategy based on synthetic data generated from a random forest.- RECol: Reconstruction Error Columns for Outlier Detection.- Interactive Link Prediction as a Downstream Task for Foundational GUI Understanding Models.- Harmonizing Feature Attributions Across Deep Learning Architectures: Enhancing Interpretability and Consistency.- Lost in Dialogue: A Review and Categorization of Current Dialogue System Approaches and Technical Solutions.- Cost-sensitive best subset selection for logistic regression: a mixed-integer conic optimization perspective.- Detecting oors in residential buildings.- A Comparative Study of Video-Based Analysis using Machine Learning for Polyp Classification.- Object Anchoring for Autonomous Robots using the Spatio-Temporal-Semantic Environment Representation SEEREP.- Explanation-Aware Backdoors in a Nutshell.- Socially Optimal Non-discriminatory Restrictions for Continuous-Action Games.- Few-Shot Document-Level Relation Extraction.- Pseudo-Label Selection is a Decision Problem.- Associative Reasoning for Commonsense Knowledge.- Computing Most Likely Scenarios of Qualitative Constraint Networks.- PapagAI: Automated Feedback for Reflective Essays.- Generating Synthetic Dialogues from Prompts to Improve Task-Oriented Dialogue Systems.- Flexible Automation of Quantified Multi-Modal Logics with Interactions.- Planning Landmark Based Goal Recognition Revisited: Does Using Initial State Landmarks Make Sense.- XAI methods in the presence of suppressor variables: a theoretical consideration.

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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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Book SynopsisThis book constitutes the refereed post-conference proceedings of the 28th International Workshop on Security Protocols, held in Cambridge, UK, during March 27–28, 2023. Thirteen papers out of 23 submissions were selected for publication in this book, presented together with the respective transcripts of discussions. The theme of this year's workshop was “Humans in security protocols — are we learning from mistakes?” The topics covered are securing the human endpoint and proving humans correct.Table of ContentsSleepwalking into Disaster? Requirements Engineering for Digital Cash.- Transporting a Secret Using Destructively-Read Memory.- Authentication of IT Professionals in the Wild - A Survey.- Incentives and Censorship Resistance for Mixnets Revisited.- Can’t Keep them Away: The Failures of Anti-Stalking Protocols in Personal Item Tracking Devices.- Who is Benefiting from Your Fitness Data? A Privacy Analysis of Smartwatches.- Trusted Introductions for Secure Messaging.- Choosing Your Friends: Shaping Ethical Use of Anonymity Networks.- One Protocol to Rule them All? On Securing Interoperable Messaging.- If it’s Provably Secure, it Probably isn’t: Why Learning from Proof Failure is Hard.- Towards Human-Centric Endpoint Security.- Determining an Economic Value of High Assurance for Commodity Software Security.- Blind Auditing and Probabilistic Access Controls.

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Book SynopsisThis two-volume set LNCS 14218 and LNCS 14219 constitutes the refereed proceedings of the International Conference on Extended Reality, XR Salento 2023, held in Lecce, Italy, during September 6-9, 2023. The 59 full papers presented together with 11 short papers were carefully reviewed and selected from 97 submissions. They cover a wide range of many different research topics such as: eXtended reality; digital twin; artificial intelligence; user experience in eXtended reality; virtual reality for neurofeedback, biofeedback and emotion recognition; eXtended reality in education; eXtended reality and metaverse in cultural heritage; eXtended reality in health and medicine; and eXtended reality in industrial field.Table of ContentseXtended Reality in Education.- Google Earth in VR, for students with special needs.- A Systematic Literature Review of Mixed Reality Learning Approaches.- Multi-Label Generalized Zero-Shot Learning using Identifiable Variational Autoencoders.- A VR-based "time-space" interactive map teaching system for modern Chinese history.- Evaluating virtual reality as immersive medium for enhancing music skills.- MetaLibrary: Towards Social Immersive Environments for Readers.- eXtended Reality and Metaverse in Cultural Heritage.- Bringing back lost heritage into life by 3D reconstruction in metaverse and virtual environments: The case study of Palmyra, Syria.- HerMeS: HERitage sMart social mEdia aSsistant.- The depth estimation of 2D content: a new life for paintings.- Enhancing Accessibility of Cultural Heritage: Extended Reality and Tactile Prints for an Inclusive Experience of the Madonna dell’Itri Church in Nociglia.- A conceptual framework to support a new collaborative design process for immersive technology integration in museum exhibitions.- Augmented reality-based application to explore street art: development and implementation.- Cultural Heritage Applications Based on Augmented Reality: A Literature Review.- Enhancing Art Therapy with Virtual Reality and Hand Gesture Recognition: A Case Study in Pottery Modeling.- Enjoyment Evaluation of a VR Environment for the Church of Panagia Aggeloktisti.- An innovative approach to shape information architecture related to ancient manuscripts, through multi-layered virtual ecosystems. From Codex4D to DataSpace project.- Digital Map Based VR Ethnographic Design of Chinese Traditional Hand-made Paper Culture.- Immersive Virtual Reality in Cultural Heritage Dissemination: A Comprehensive Application for Novice Users.- The silence of art: investigating the emotional experience of a virtual museum by facial expression analysis.- Integrating fragmented historical sites VR based on time-space clues for modern history education.- The Application of "Panoramic VR Fusion Animation Reproduction" of Historical Sites in Modern History Education.- CaldanAugmenty – Augmented Reality and Serious Game App for Urban Cultural Heritage Learning.- eXtended Reality in Health and Medicine.- Cycling in immersive VR: motivation and affects in post-COVID patients.- A Cheap and Powerful Stereo Endoscope Lab Mock-Up for Robotic Surgery to Implement and Test Machine Vision and Augmented Reality Prototypes.- Augmented Reality in orthognathic surgery: a multi-modality tracking approach to assess the temporomandibular joint motion.- Enhancing visualization of surgical tool through integrated motion tracking system.- Realter: an immersive simulator to support low vision rehabilitation.- Emotions and “Sense of Presence” in the Psycho-Verse: Psychological Support for Breast Cancer Survivors in the Metaverse.- Detection of stress stimuli in learning contexts of iVR environments.- Virtual reality-based rehabilitation for patients with stroke: preliminary results on user experience.- Game Over, Trauma! Empowering Trauma Healing through Gaming.- Angioplasty surgery simulator development: Kazakhstani experience.- eXtended Reality in Industrial Field.- Evaluating telecollaboration modalities for the realization of an industrial maintenance operation in a constrained environment.- A Comprehensive Approach to the Analysis of VR Training Progress of Industry 4.0 Employees.- Extended Reality Product Configuration for Flexible Production System: A Case Study.- 3D Virtual System of the Automatic Vehicle Painting Process Using the Hardware in the Loop Technique, oriented to Industrial Automation Training.

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Book SynopsisThis book constitutes the refereed proceedings of the 27th International Conference on Linking Theory and Practice of Digital Libraries, TPDL 2023, held in Zadar, Croatia, during September 26–29, 2023.The 13 full papers and 17 short papers included in this book were carefully reviewed and selected from 69 submissions. They were organized in topical sections as follows: Applications and digital library systems; data citation and citation analysis; discovering science, monitoring and publishing science; knowledge creation; Human-Computer Interaction; digital humanities; and digital cultural heritage. Table of ContentsApplications and Digital Library Systems.- Human-in-the-loop Latent Space Learning for Bibrecord-based Literature Management.- Holistic Graph-based Document Representation and Management for Open Science.- A Multilingual Dashboard To Analyse Intercultural Knowledge Circulation.- Applications and Digital Library Systems.- Known by the Company it Keeps: Proximity-Based Indexing for Physical Content in Archival Repositories.- Aspect-Driven Structuring of Historical Dutch Newspaper Archives.- PreprintResolver: Improving Citation Quality by Resolving Published Versions of ArXiv Preprints using Literature Databases.- Data Citation and Citation Analysis.- How to Cite a Web Ranking and Make it FAIR.- Tracing Data Footprints: Formal and Informal Data Citations in the Scientific Literature.- Non-citable but not uncited: a large-scale citation analysis of editorials.- BIP! NDR (NoDoiRefs): A Dataset of Citations From Papers Without DOIs in Computer Science Conferences and Workshops.- Investigating the Relation between Authors’ Academic Age and their Citations.- Discovering science.- On Retraction Cascade? Citation Intention Analysis as a Quality Control Mechanism in Digital Libraries.- Using Semi-Automatic Annotation Platform to create Corpus for Argumentative Zoning.- CORE-GPT: Combining Open Access research and large language models for credible, trustworthy question answering.- A Robust Approach for Hybrid Personalized Recommender Systems.- Readability Measures as Predictors of Understandability and Engagement in Searching to Learn.- Classification of Visualization Types and Perspectives in Patents.- Monitoring and Publishing science.- It’s Not Just GitHub: Identifying Data and Software Sources Included in Publications.- A Graph Neural Network Approach for Evaluating Correctness of Groups of Duplicates.- Synthesizing Web Archive Collections Into Big Data: Lessons From Mining Data From Web Archives.- A Comparison of Automated Journal Recommender Systems.- Making PDFs Accessible for Visually Impaired Users (and Findable for Everybody Else).- Knowledge creation.- Multi-view Graph-based Text Representations for Imbalanced Classification.- Large Synthetic Data from the arχiv for OCR Post Correction of Historic Scientific Articles.- Human-Computer Interaction.- From textual to visual image searching: User experience of advanced image search tool.- Ranking for Learning: Studying Users’ Perceptions of Relevance, Understandability, and Engagement.- Digital Humanities.- Image Modification Modeled as a Storytelling Process.- From ISAD(G) to Linked Data Archival Descriptions.- Detection of Redacted Text in Legal Documents.- The First Tile for the Digital Onomastic Repertoire of the French Medieval Romance: Problems and Perspectives.- Digital Cultural Heritage.- Digital Cultural Heritage.- Persistent identifier usage by cultural heritage institutions: a study on the Europeana.eu dataset.- Real Experienced Needs for Accessible and Inclusive Cultural Heritage – First Results in MuseIT.

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Book SynopsisThis book constitutes the referred proceedings of the 11th International Workshop on Practical Applications of Stochastic Modelling, PASM 2022, was held in Alicante, Spain, in September 2022.The 7 full papers presented in this volume were carefully reviewed and selected from 9 submissions. The papers demonstrate a diverse set of applications and approaches of stochastic modelling.Table of ContentsPerformance modelling of attack graphs.- Towards Calculating the Resilience of a Urban Transport Network under Attack.- Analysis of the Battery Level in Complex Wireless Sensor Networks using a Two Time Scales Second Order Fluid Model.- To Confine or not to Confine: A Mean Field Game Analysis of the End of an Epidemic.- Data Center Organization and Optimization Strategy as a k-ary n-cube Topology.- Towards energy-aware management of shared printers.- Modelling Performance and Fairness of Frame Bursting in IEEE 802.11n using PEPA.

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Book SynopsisThis book constitutes selected, revised and extended papers of the 7th International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM 2021, held in April 2021, and 8th International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM 2022, held in April 2022. Due to the COVID-19 pandemic both conferences were held online. The 4 revised full papers presented at GISTAM 2021 were carefully reviewed and selected from the 44 submissions, and 3 papers presented at GISTAM 2022 were selected from the 27 submissions. The papers are centered on urban and regional planning; water information systems; geospatial information and technologies; spatio-temporal database management; decision support systems; energy information systems; GPS and location detection.Table of ContentsMapping Prosopis Juliora Invasion using Remote Sensing Data and GIS Geostatistics Techniques.- Progress on Land Surface Phenology Estimation with Multispectral Remote Sensing.- Analytical Hierarchical Processing to Delineate Artificial Groundwater Recharge Zones.- Characteristic of the Urban Landscape of the City of Split (Croatia) - Application of WorldView3 Imagery and GEOBIA Method in Derivation of Urban Planning Indicators (UPI).- Potential and Limitations of Free Online Precise Point Positioning Services for GNSS Rover-Base Surveys in Low-Density CORS Areas.- The Use of Volunteered Geographic Information to Explore Informal Trail Networks in Protected Areas.- Solar Energy Assessment: From Rooftop Extraction To Identifying Utilizable Areas.

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Book SynopsisThe 10-volume set LNCS 14254-14263 constitutes the proceedings of the 32nd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2023, which took place in Heraklion, Crete, Greece, during September 26–29, 2023.The 426 full papers, 9 short papers and 9 abstract papers included in these proceedings were carefully reviewed and selected from 947 submissions. ICANN is a dual-track conference, featuring tracks in brain inspired computing on the one hand, and machine learning on the other, with strong cross-disciplinary interactions and applications. Table of ContentsA Shallow Information Enhanced Efficient Small Object Detector based on YOLOv5.- Adaptive Dehazing YOLO for Object Detection.- Adaptive Training Strategies for Small Object Detection using Anchor-based Detectors.- Automatic Driving Scenarios: A Cross-Domain Approach for Object Detection.- Dual Attention Feature Fusion for Visible-Infrared Object Detection.- Feature Sniffer: A Stealthy Inference Attacks Framework on Split Learning.- Few-Shot Object Detection via Transfer Learning and Contrastive Reweighting.- GaitFusion: Exploring the fusion of silhouettes and optical flow for gait recognition.- Gradient Adjusted and Weight Rectified Mean Teacher for Source-free Object Detection.- IMAM: Incorporating multiple attention mechanisms for 3D Object Detection from Point Cloud.- LGF2: Local and Global Feature Fusion for Text-guided Object Detection.- MLF-DET: Multi-Level Fusion for Cross-Modal 3D Object Detection.- Object Detection in Foggy Images with Transmission Map Guidance.- PE-YOLO: Pyramid Enhancement Network for Dark Object Detection.- Region Feature Disentanglement for Domain Adaptive Object Detection.- ROFusion: Efficient Object Detection using Hybrid Point-wise Radar-Optical Fusion.- SDGC-YOLOv5: A more accurate model for small object detection.- The Statistical Characteristics of P3a and P3b Subcomponents in Electroencephalography Signals.- Transforming Limitations into Advantages: Improving Small Object Detection Accuracy with SC-AttentionIoU Loss Function.- Visual-Haptic-Kinesthetic Object Recognition with Multimodal Transformer.- X-shape Feature Expansion Network for Salient Object Detection in Optical Remote Sensing Images.- Aggregate Distillation For Top-K Recommender System.- Candidate-Aware Dynamic Representation for News Recommendation.- Category Enhanced Dual View Contrastive Learning for Session-based Recommendation.- Electronic Medical Record Recommendation System Based on Deep Embedding Learning with Named Entity Recognition.- Incremental Recommendation Algorithm based on the Influence Propagation Model.- Scenic Spot Recommendation Method Integrating Knowledge Graph And Distance Cost.- A Unified Video Semantics Extraction and Noise Object Suppression Network for Video Saliency Detection.- Adaptive Token Excitation With Negative Selection For Video-Text Retrieval.- Boosting Video Super Resolution with Patch-Based Temporal Redundancy Optimization.- Bring the Noise: Introducing Noise Robustness to Pretrained Automatic Speech Recognition.- Correction while Recognition: Combining Pretrained Language Model for Taiwan-accented Speech Recognition.- Cross-Camera Prototype Learning for Intra-Camera Supervised Person Re-Identification.- ECDet: A Real-time Vehicle Detection Network for CPU-only Devices.- Gated Multi-Modal Fusion with Cross-Modal Contrastive Learning for Video Question Answering.- Learning Video Localization on Segment-Level Video Copy Detection with Transformer.- Linear Transformer-GAN: A Novel Architecture to Symbolic Music Generation.- MBMS-GAN: Multi-Band Multi-Scale Adversarial Learning for Enhancement of Coded Speech at Very Low Rate.- OWS-Seg: online weakly supervised video instance segmentation via contrastive learning.- Replay to Remember: Continual Layer-Specific Fine-tuning for German Speech Recognition.- Self-Supervised Video Object Segmentation Using Motion Feature Compensation.- Space-Time Video Super-Resolution Based on Long-Term Time Dependence.

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Book SynopsisThe 10-volume set LNCS 14254-14263 constitutes the proceedings of the 32nd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2023, which took place in Heraklion, Crete, Greece, during September 26–29, 2023.The 426 full papers, 9 short papers and 9 abstract papers included in these proceedings were carefully reviewed and selected from 947 submissions. ICANN is a dual-track conference, featuring tracks in brain inspired computing on the one hand, and machine learning on the other, with strong cross-disciplinary interactions and applications. Table of Contents2RDA: Representation and Relation Distillation with Data Augmentation.- A Document-Level Relation Extraction Framework with Dynamic Pruning.- A Global Feature Fusion Network for Lettuce Growth Trait Detection.- Adaptive Embedding and Distribution Re-Margin for Long-tail Recognition.- Adaptive Propagation Network Based on Multi-Scale Information Fusion.- An Efficient Approach for Improving the Recall of Rough Abstract Retrieval in Scientific Claim Verification.- An Explainable Feature Selection Approach for Fair Machine Learning.- Anchor link prediction based on trusted anchor re-identification.- Application of Data Encryption in Chinese Named Entity Recognition.- Attractor dynamics drive flexible timing in birdsong.- Boost Predominant Instrument Recognition Performance with MagiaSearch and MagiaClassifier.- Can Machine Learning Support Improvement in Effective Nutrition of patients in Critical Care Units?.- Cross-Domain Transformer with Adaptive Thresholding for Domain Adaptive Semantic Segmentation.- Delineation of prostate boundary from medical images via a mathematical formula-based hybrid algorithm.- Diversifying non-dissipative Reservoir Computing dynamics.- Efficient Reinforcement Learning using State-Action Uncertainty with Multiple Heads.- Exploring the role of feedback inhibition for the robustness against corruptions on event-based data.- Extracting feature space for synchronizing behavior in an interaction scene using unannotated data.- F-E Fusion:A Fast Detection Method of Moving UAV Based on Frame and Event Flow.- Few-shot Relational Triple Extraction based on Evaluation of Token-Level Semantic Similarity.- GII: a Unified Approach to Representation Learning in Open Set Recognition with Novel Category Discovery.- Glancing text and vision regularized training to enhance machine translation.- Global-Temporal Enhancement for Sign Language Recognition.- Global-to-contextual Shared Semantic Learning for Fine-grained Vision-language Alignment.- Gradient-based Learning of Finite Automata.- Hierarchical Contrastive Learning for CSI-based Fingerprint Localization.- Higher Education Programming Competencies: A Novel Dataset.- Higher Target Relevance Parallel Machine Translation with Low-Frequency Word Enhancement.- I^2KD-SLU: An Intra-Inter Knowledge Distillation Framework for Zero-Shot Cross-Lingual Spoken Language Understanding.- Imbalanced Few-shot Learning based on Meta-transfer Learning.- Impact Analysis of Climate Change on Floods in an Indian Region using Machine Learning.- Improving Limited Resource Speech Recognition Performance with Latent Regression Bayesian Network.- Input Layer Binarization with Bit-Plane Encoding.- Investigation of Information Processing Mechanisms in the Human Brain during Reading Tanka Poetry.- Joint Demosaicing and Denoising with Frequency Domain Features.- Knowledge Distillation with Feature Enhancement Mask.- Label-description Enhanced Network for Few-shot Named Entity Recognition.- Landslide Surface Displacement Prediction Based on VSXC-LSTM Algorithm.- LaneMP: Robust Lane Attention Detection based on Mutual Perception of Keypoints.- LE-MVSNet: Lightweight Efficient Multi-view Stereo Network.- Lightweight Reference-Less Summary Quality Evaluation via Key Feature Extraction.- Limited Information Opponent Modeling.

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Book SynopsisThe 10-volume set LNCS 14254-14263 constitutes the proceedings of the 32nd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2023, which took place in Heraklion, Crete, Greece, during September 26–29, 2023.The 426 full papers and 9 short papers included in these proceedings were carefully reviewed and selected from 947 submissions. ICANN is a dual-track conference, featuring tracks in brain inspired computing on the one hand, and machine learning on the other, with strong cross-disciplinary interactions and applications.Table of ContentsMEA-TransUNet: a Multiple External Attention Network for Multi-Organ Segmentation.- Membership-Grade Based Prototype Rectification for Fine-Grained Few-Shot Classification.- Multi-grained Aspect Fusion for Review Response Generation.- Multiple Object Tracking based on Variable GIoU-Embedding Matrix and Kalman Filter Compensation.- Multi-relation Identification for Few-shot Document-level Relation Extraction.- Multi-Task Learning for Mongolian Morphological Analysis.- Multi-task Pre-training for Lhasa-Tibetan Speech Recognition.- Mutual Information Dropout: Mutual Information Can Be All You Need.- Non-Outlier Pseudo-Labeling for Short Text Clustering.- Optimal Node Embedding Dimension Selection Using Overall Entropy.- PairEE: A Novel Pairing-Scoring Approach for Better Overlapping Event Extraction.- PCB Component Rotation Detection Based on Polarity Identifier Attention.- PCDialogEval: Persona and Context Aware Emotional Dialogue Evaluation.- PlantDet: A benchmark for Plant Detection in the Three-Rivers-Source Region.- PO-DARTS: Post-Optimizing the Architectures Searched by Differentiable Architecture Search Algorithms.- Predicting high vs low mother-baby synchrony with GRU-based ensemble models.- Properties of the weighted and robust implicitly weighted correlation coefficients.- PSML: Prototype-Based OSSL Framework for Multi-Information Mining.- Pure Physics-Informed Echo State Network of ODE Solution Replicator.- RegionRel:A Framework for Jointly Extracting Relational Triplets by Performing Sub-tasks by Region.- Robustness to Variability and Asymmetry of In-memory On-chip Training.- Selecting Distinctive-Variant Training Samples Base on Intra-class Similarity.- Semantic Information Mining and Fusion Method for Bot Detection.- Semilayer-Wise Partial Quantization without Accuracy Degradation or Back Propagation.- ShadowGAN for Line Drawings Shadow Generation.- Ship Attitude Prediction Based on Dynamic Sliding Window and EEMD-SSA-BiLSTM.- Solving Math Word Problem with External Knowledge and Entailment Loss.- Spatially Invariant and Frequency-Aware CycleGAN for Unsupervised MR-to-CT Synthesis.- Spatio-temporal Attention Model with Prior Knowledge for Solar Wind Speed Prediction.- Spatiotemporal model with attention mechanism for ENSO Predictions.- SPM-Diffusion for Temperature Prediction.- S-SOLVER: Numerically stable adaptive step size solver for neural ODEs.- TableSF: A Structural Bias Framework for Table-to-Text Generation.- TCS-LipNet:Temporal & Channel & Spatial Attention-based Lip Reading Network.- The Dynamic Selection of Combination Methods in Classifier Ensembles by Region of Competence.- The progressive detectors and discriminative feature descriptors combining global and local information.- Towards Better Dialogue Utterance Rewriting via a Gated Span-Copy Mechanism.- TSP Combination Optimization with Semi-local Attention Mechanism.- UDCGN: Uncertainty-Driven Cross-Guided Network for Depth Completion of Transparent Objects.- Use of Machine Learning Algorithms to Analyze the Digit Recognizer Problem in an Effective Manner.- Vulnerability Analysis of Continuous Prompts for Pre-trained Language Models.

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Book SynopsisThe 10-volume set LNCS 14254-14263 constitutes the proceedings of the 32nd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2023, which took place in Heraklion, Crete, Greece, during September 26–29, 2023.The 426 full papers and 9 short papers included in these proceedings were carefully reviewed and selected from 947 submissions. ICANN is a dual-track conference, featuring tracks in brain inspired computing on the one hand, and machine learning on the other, with strong cross-disciplinary interactions and applications.Table of ContentsA Comparative Study of Sentence Embedding Models for Assessing Semantic Variation.- A Deep Learning based Method for Generating Holographic Acoustic Fields from Phased Transducer Arrays.- A Depth-guided Attention Strategy for Crowd Counting.- A Noise Convolution Network for Tampering Detection.- Attention-based Feature Interaction Deep Factorization Machine for CTR Prediction.- Block-level Stiffness Analysis of Residual Networks.- CKNA: Kernel Hyperparameters Optimization Method for Group-wise CNNs.- Conditional Convolution Residual Network for Efficient Super-Resolution.- Cross Attention with Deep Local Features for Few-shot Image Classification.- Deep Video Compression Based on 3D Convolution Artifacts Removal and Attention Compression Module.- Deep-learning Based Three Channel Defocused Projection Profilometry.- Depthwise Convolution with Channel Mixer: Rethinking MLP in MetaFormer for Faster and More Accurate Vehicle Detection.- DLUIO: Detecting Useful Investor Opinions by Deep Learning.- Dynamic obstacle avoidance for unmanned aerial vehicle using dynamic vision sensor.- Empirical Study on the Effect of Residual Networks on the Expressiveness of Linear Regions.- Energy Complexity Model for Convolutional Neural Networks.- Enhancing the Interpretability of Deep Multi-Agent Reinforcement Learning via Neural Logic Reasoning.- Evidential Robust Deep Learning for Noisy Text2text Question Classification.- FBPFormer: Dynamic Convolutional Transformer for Global-Local-Contexual Facial Beauty Prediction.- Heavy-Tailed Regularization of Weight Matrices in Deep Neural Networks.- Interaction of Generalization and Out-of-Distribution Detection Capabilities in Deep Neural Networks.- Long-distance Pipeline Intrusion Warning Based on Environment Embedding From Distributed Optical Fiber Sensing.- LSA3D: Lightweight Separate Asynchronous 3D Convolutional Neural Network for Gait Recognition.- MADNet: EEG-based Depression Detection using a Deep Convolution Neural Network Framework with Multi-dimensional Attention.- Maintenance automation using deep learning methods a case study from the aerospace industry.- MCASleepNet: Multimodal channel attention-based deep neural network for automatic sleep staging.- Multi-label Image Deep Hashing with Hybrid Loss of Global Center and Local Alignment.- Multi-relation Representation Learning based Deep Network for Patent Classification.- One Hip Wonder: 1D-CNNs Reduce Sensor Requirements for Everyday Gait Analysis.- Patches Channel Attention For Human Sitting Posture Recognition.- RA-Net: A Deep Learning Approach based on Residual Structure and Attention Mechanism for Image Copy-move Forgery Detection.- Rethinking CNN Architectures in Transformer Detectors.- Robustness of Biologically-inspired filter-based ConvNet to Signal Perturbation.- Self-Supervised Graph Convolution for Video Moment Retrieval.- Siamese Network based on MLP and Multi-head Cross Attention for Visual Object Tracking.- Taper Residual Dense Network for Audio Super-Resolution.- VPNDroid: Malicious Android VPN detection using a CNN-RF method.- Who breaks early, looses: goal oriented training of deep neural networks based on port Hamiltonian dynamics.- BLR:A multi-modal sentiment analysis model.- Detecting Negative Sentiment on Sarcastic Tweets for Sentiment Analysis.- Local or Global: The Variation in the Encoding of Style Across Sentiment and Formality.- Prompt-oriented Fine-tuning Dual Bert for Aspect-Based Sentiment Analysis.- Towards Energy-Efficient Sentiment Classification with Spiking Neural Networks.- Using Masked Language Modeling to Enhance BERT-based Aspect-Based Sentiment Analysis for Affective Token Prediction.

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Book SynopsisThe 10-volume set LNCS 14254-14263 constitutes the proceedings of the 32nd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2023, which took place in Heraklion, Crete, Greece, during September 26–29, 2023.The 426 full papers, 9 short papers and 9 abstract papers included in these proceedings were carefully reviewed and selected from 947 submissions. ICANN is a dual-track conference, featuring tracks in brain inspired computing on the one hand, and machine learning on the other, with strong cross-disciplinary interactions and applications. Table of ContentsA Data Augmentation based ViT for Fine-Grained Visual Classification.- A Detail Geometry Learning Network for High-Fidelity Face Reconstruction.- A Lightweight Multi-Scale Large Kernel Attention Hierarchical Network for Single Image Deraining.- A Multi-Scale Method for Cell Segmentation in Fluorescence Microscopy Images.- Adaptive interaction-based multi-view 3D object reconstruction.- An auxiliary modality based Text-Image matching methodology for fake news detection.- An Improved Lightweight YOLOv5 for Remote Sensing Images.- An Improved YOLOv5 with Structural Reparameterization for Surface Defect Detection.- ASP Loss: Adaptive Sample-Level Prioritizing Loss for Mass Segmentation on Whole Mammography Images.- Cascaded Network-based Single-View Bird 3D Reconstruction.- CLASPPNet: A Cross-Layer Multi-Class Lane Semantic Segmentation Model Fused with Lane Detection Module.- Classification-based and Lightweight Networks For Fast Image Super Resolution.- CLN: Complementary Learning Network For 3D Face Reconstruction And Alignment.- Combining Edge-guided Attention and Sparse-connected U-Net for Detection of Image Splicing.- Contour-augmented Concept Prediction Network for image captioning.- Contrastive Knowledge Amalgamation for Unsupervised Image Classification.- Cross Classroom Domain Adaptive Object Detector for Student's Heads.- Diffusion-Adapter: Text Guided Image Manipulation with Frozen Diffusion Models.- DWA: Differential Wavelet Amplifier for Image Super-Resolution.- Dynamic Facial Expression Recognition in Unconstrained Real-World Scenarios Leveraging Dempster-Shafer Evidence Theory.- End-to-end Remote Sensing Change Detection of Unregistered Bi-temporal Images for Natural Disasters.- E-Patcher: A Patch-based Efficient Network for Fast Whole Slide Images Segmentation.- Exploiting Multi-modal Fusion for Robust Face Representation Learning with Missing Modality.- Extraction Method of Rotated Objects from High-resolution Remote Sensing Images.- Few-shot NeRF-based View Synthesis for Viewpoint-biased Camera Pose Estimation.- Ga-RFR: Recurrent Feature Reasoning with gated convolution for Chinese Inscriptions Image Inpainting.- Generalisation Approach for Banknote Authentication by Mobile Devices Trained on Incomplete Samples.- Image Caption with Prior Knowledge Graph and Heterogeneous Attention.- Image Captioning for Nantong Blue Calico Through Stacked Local-Global Channel Attention Network.- Improving Image Captioning with Feature Filtering and Injection.- In silico study of single synapse dynamics using a three-state kinetic model.- Interpretable Image Recognition by Screening Class-specific and Class-shared Prototypes.- Joint Edge-guided and Spectral Transformation Network for Self-Supervised X-ray Image Restoration.- Lightweight Human Pose Estimation Based On Densely Guided Self-Knowledge Distillation.- MCAPR: Multi-Modality Cross Attention for Camera Absolute Pose Regression.- MC-MLP: A Multiple Coordinate Frames MLP-Like Architecture for Vision.- Medical Image Segmentation and Saliency Detection through a Novel Color Contextual Extractor.- MedNet: A Dual-Copy Mechanism for Medical Report Generation from Images.- Ms-AMPool: Down-Sampling Method for Dense Prediction Tasks.- Multi-frame Tilt-angle Face Recognition Using Fusion Re-ranking.- Multi-scale field distillation for multi-task semantic segmentation.- Neural Field Conditioning Strategies for 2D Semantic Segmentation.- Neurodynamical Model of the Visual Recognition of Dynamic Bodily Actions from Silhouettes.- PACE: Point Annotation-Based Cell Segmentation for Efficient Microscopic Image Analysis.- Pie-UNet: A novel Parallel Interaction Encoder for Medical Image Segmentation.- Prior-SSL: A Thickness Distribution Prior and Uncertainty Guided Semi-supervised Learning Method for Choroidal Segmentation in OCT Images.- PSR-Net A Dual-Branch Pyramid Semantic Reasoning Network for Segmentation of Remote Sensing Images.

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Book SynopsisThe 10-volume set LNCS 14254-14263 constitutes the proceedings of the 32nd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2023, which took place in Heraklion, Crete, Greece, during September 26–29, 2023.The 426 full papers, 9 short papers and 9 abstract papers included in these proceedings were carefully reviewed and selected from 947 submissions. ICANN is a dual-track conference, featuring tracks in brain inspired computing on the one hand, and machine learning on the other, with strong cross-disciplinary interactions and applications. Table of ContentsAnomaly Detection in Directed Dynamic Graphs via RDGCN and LSTAN.- Anomaly-Based Insider Threat Detection via Hierarchical Information Fusion.- CSEDesc: CyberSecurity Event Detection with Event Description.- GanNeXt: A New Convolutional GAN for Anomaly Detection.- K-Fold Cross-Valuation for Machine Learning Using Shapley Value.- Malicious Domain Detection Based on Self-supervised HGNNs with Contrastive Learning.- Time Series Anomaly Detection with Reconstruction-Based State-Space Models.- ReDualSVG: Refined Scalable Vector Graphics Generation.- Rethinking Feature Context in Learning Image-guided Depth Completion.- Semantic and Frequency Representation Mining for Face Manipulation Detection.- Single image dehazing network based on serial feature attention.- SS-Net: 3D Spatial-Spectral Network for Cerebrovascular Segmentation in TOF-MRA.- STAN: Spatio-Temporal Alignment Network for No-Reference Video Quality Assessment.- Style Expansion without Forgetting for Handwritten Character Recognition.- TransVQ-VAE: Generating Diverse Images using Hierarchical Representation Learning.- UG-Net: Unsupervised-Guided Network for Biomedical Image Segmentation and Classification.- Unsupervised Shape Enhancement and Factorization Machine Network for 3D Face Reconstruction.- Visible-Infrared Person Re-Identification via Modality Augmentation and Center Constraints.- Water Conservancy Remote Sensing Image Classification Based on Target-Scene Deep Semantic Enhancement.- A Partitioned Detection Architecture for Oriented Objects.- A Personalized Federated Multi-Task Learning Scheme for Encrypted Traffic Classification.- Addressing delays in Reinforcement Learning via Delayed Adversarial Imitation Learning.- An Evaluation of Self-Supervised Learning for Portfolio Diversification.- An exploitation-enhanced Bayesian optimization algorithm for high-dimensional expensive problems.- Balancing Selection and Diversity in Ensemble Learning with Exponential Mixture Model.- CIPER: Combining Invariant and Equivariant Representations Using Contrastive and Predictive Learning.- Contrastive Learning and the Emergence of Attributes Associations.- Contrastive Learning for Sleep Staging based on Inter Subject Correlation.- Diffusion Policies as Multi-Agent Reinforcement Learning Strategies.- Dynamic Memory-based Continual Learning with Generating and Screening.- Enhancing Text2SQL Generation with Syntactic Infor-mation and Multi-Task Learning.- Fast Generalizable Novel View Synthesis with Uncertainty-Aware Sampling.- Find Important Training Dataset by Observing the Training Sequence Similarity.- Generating Question-Answer Pairs for Few-shot Learning.- GFedKRL: Graph Federated Knowledge Re-Learning for Effective Molecular Property Prediction via Privacy Protection.- Gradient-Boosted Based Structured and Unstructured Learning.- Graph Federated Learning Based on the Decentralized Framework.- Heterogeneous Federated Learning Based on Graph Hypernetwork.- Learning to Resolve Conflicts in Multi-Task Learning.- Neighborhood-oriented Decentralized Learning Communication in Multi-Agent System.- NN-Denoising: A Low-Noise Distantly Supervised Document-Level Relation Extraction Scheme using Natural Language Inference and Negative Sampling.- pFedLHNs: Personalized Federated Learning via Local Hypernetworks.- Prototype Contrastive Learning for Personalized Federated Learning.- PTSTEP: Prompt Tuning for Semantic Typing of Event Processes.- SR-IDS: A Novel Network Intrusion Detection System Based on Self-taught Learning and Representation Learning.- Task-Aware Adversarial Feature Perturbation for Cross-Domain Few-Shot Learning.- Ternary Data, Triangle Decoding, Three Tasks, a Multitask Learning Speech Translation Model.

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Book SynopsisThe 10-volume set LNCS 14254-14263 constitutes the proceedings of the 32nd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2023, which took place in Heraklion, Crete, Greece, during September 26–29, 2023.The 426 full papers, 9 short papers and 9 abstract papers included in these proceedings were carefully reviewed and selected from 947 submissions. ICANN is a dual-track conference, featuring tracks in brain inspired computing on the one hand, and machine learning on the other, with strong cross-disciplinary interactions and applications. Table of ContentsA Further Exploration of Deep Multi-Agent Reinforcement Learning with Hybrid Action Space.- Air-to-Ground Active Object Tracking via Reinforcement Learning.- Enhancing P300 Detection in Brain-Computer Interfaces with Interpretable Post-Processing of Recurrent Neural Networks.- Group-Agent Reinforcement Learning.- Improving Generalization of Multi-agent Reinforcement Learning through Domain-Invariant Feature Extraction.- Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning.- LIIVSR: A Unidirectional Recurrent Video Super-Resolution Framework with Gaussian Detail Enhancement and Local Information Interaction Modules.- Masked Scale-Recurrent Network for Incomplete Blurred Image Restoration.- Multi-fusion Recurrent Network for Argument Pair Extraction.- Pacesetter Learning For Large Scale Cooperative Multi-Agent Reinforcement Learning.- Stable Learning Algorithm Using Reducibility for Recurrent Neural Networks.- t-ConvESN: Temporal Convolution-Readout for Random Recurrent Neural Networks.- Adaptive Reservoir Neural Gas: An Effective Clustering Algorithm for Addressing Concept Drift in Real-Time Data Streams.- An Intelligent Dynamic Selection System Based on Nearest Temporal Windows for Time Series Forecasting.- Generating Sparse Counterfactual Explanations For Multivariate Time Series.- Graph Neural Network-Based Representation Learning for Medical Time Series.- Knowledge Forcing: Fusing Knowledge-Driven Approaches with LSTM for Time Series Forecasting.- MAGNet: Muti-scale Attention and Evolutionary Graph Structure for Long Sequence Time-Series Forecasting.- MIPCE: Generating Multiple Patches Counterfactual-changing Explanations for Time Series Classification.- Multi-Timestep-Ahead Prediction with Mixture of Experts for Embodied Question Answering.- Rethink the Top-u Attention in Sparse Self-attention for Long Sequence Time-Series Forecasting.- Temporal Attention Signatures for Interpretable Time-Series Prediction.- Time-Series Prediction of Calcium Carbonate Concentration in Flue Gas Desulfurization Equipment by Optimized Echo State Network.- WAG-NAT: Window Attention and Generator Based Non-Autoregressive Transformer for Time Series Forecasting.- A Novel Encoder and Label Assignment for Instance Segmentation.- A Transformer-based Framework for Biomedical Information Retrieval Systems.- A Transformer-Based Method for UAV-View Geo-Localization.- Cross-graph Transformer Network for Temporal Sentence Grounding.- EGCN: A Node Classification Model based on Transformer and Spatial Feature Attention GCN for Dynamic Graph.- Enhance Representational Differentiation Step By Step: A Two-Stage Encoder-Decoder Network for Implicit Discourse Relation Classification.- GenTC: Generative Transformer via Contrastive Learning for Receipt Information Extraction.- Hierarchical Classification for Symmetrized VI Trajectory Based on Lightweight Swin Transformer.- Hierarchical Vision and Language Transformer for Efficient Visual Dialog.- ICDT: Maintaining Interaction Consistency for Deformable Transformer with Multi-scale Features in HOI Detection.- Imbalanced Conditional Conv-Transformer For Mathematical Expression Recognition.- Knowledge Graph Transformer for Sequential Recommendation.- LorenTzE: Temporal Knowledge Graph Embedding based on Lorentz Transformation.- MFT: Multi-scale Fusion Transformer for Infrared and Visible Image Fusion.- NeuralODE-based Latent Trajectories into AutoEncoder Architecture for Surrogate Modelling of Parametrized High-dimensional Dynamical Systems.- RRecT: Chinese Text Recognition with Radical-enhanced Recognition Transformer.- S2R: Exploring a Double-Win Transformer-Based Framework for Ideal and Blind Super-Resolution.- Self-adapted Positional Encoding in the Transformer Encoder for Named Entity Recognition.- SHGAE: Social Hypergraph AutoEncoder for Friendship Inference.- Temporal Deformable Transformer For Action Localization.- Trans-Cycle: Unpaired Image-to-Image Translation Network by Transformer.

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Book SynopsisThis book constitutes the refereed proceedings of the 9th Joint International Conference on Serious Games, JCSG 2023, held in Dublin, Ireland, during October 26–27, 2023. The 18 full papers presented together with 9 short papers and 14 poster papers were carefully reviewed and selected from 53 submissions. They are grouped into the following topics: technology and systems; theoretical and design aspects; health and wellbeing; extended realities; soft and social skills; academic skills; and posters and exhibits.Table of ContentsTechnology and Systems.- Theoretical and Design Aspects.- Health and Wellbeing.- Extended Realities.- Soft and Social Skills.- Academic Skills.- Posters and Exhibits.

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Book SynopsisThis book constitutes the proceedings of the 16th International Conference on Informatics in Schools: Situation, Evolution and Perspectives, ISSEP 2023, held in Lausanne, Switzerland, during October 23–25, 2023. The 14 full papers presented in this book were carefully reviewed and selected from 47 submissions. They are organized in four topical sections named: artificial intelligence and its applications; competitions, problem solving, and computational; robotics and unplugged modalities; and curricula and computer science concepts. This is an open access book.Table of ContentsEducation and Awareness for Artificial Intelligence.- What is AI-PACK? Outline of AI competencies for teaching with DPACK.- Implementing a Portable Learning Lab on Artificial Intelligence: It's AI in a Box!.- Investigating the Role of ChatGPT in Supporting Text-Based Programming Education for Students and Teachers.- All Green: How Different Age Groups Solved the Same Bebras Task.- Effects of the COVID-19 pandemic on the Bebras Computational Thinking Challenge: Comparing numbers, examining reasons and investigating recommendations.- The Function of Note-Taking in Problem Solving in the Computer Science Escape Game Room.- An Exploratory Investigation on High-School Students’ Understanding of Threads.- Combining Models to Orchestrate an Instructional Scenario Fostering Computational Thinking in Educational Robotics.- Teachers' Knowledge in Informatics---Exploring Educational Robotics Resources Through the Lens of Textual Data Analysis.- Reshaping Unplugged Computer Science Workshops for Primary School Education.- Evaluating the New Secondary CS Curriculum in the Netherlands - The Teachers’ Perspective.- Navigating the Implementation of the Curriculum Digital Education in Austrian Secondary Schools: Challenges and Teacher Perspectives.- Bridging the Gap: Infusing Natural Science Classes with Computer Science Concepts and Skills.

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Book SynopsisThis book includes extended and revised versions of a set of selected papers presented at the 19th International Conference on Smart Business Technologies, ICSBT 2022, Lisbon, Portugal, July 14–16, 2022, and 19th International Conference on Security and Cryptography, SECRYPT 2022, Lisbon, Portugal, July 11-13, 2022.The 7 full papers included in the volume were carefully selected from the 143 submissions accepted to participate in the conference. The papers present reciting research on e-Business technology and its current applications; and all aspects of security and privacy.Table of ContentsSPOT+: Secure and Privacy-Preserving Proximity-Tracing Protocol with Efficient Verification over Multiple Contact Information.- Blind side channel on the Elephant LFSR Extended version.- Stacked Ensemble Models Evaluation on DL Based SCA.- Explaining the Use of Cryptographic API in Android Malware.- Explaining the Use of Cryptographic API in Android Malware.- Intrinsic Weaknesses of IDSs to Malicious Adversarial Attacks and their Mitigation.- Compressing Big OLAP Data Cubes in Big Data Analytics Systems: New Paradigms, a Reference Architecture, and Future Research Perspectives.

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Book Synopsis​This book constitutes the refereed proceedings of the 8th International Workshop on Perinatal, Preterm and Paediatric Image Analysis, PIPPI 2023, held in conjunction with the 26th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2023, in Vancouver, Canada, in October 2023.The 10 full papers presented at PIPPI 2023 were carefully reviewed and selected from 14 submissions. PIPPI 2023 workshop complements the main MICCAI conference by providing a focused discussion on the challenges of image analysis techniques as applied to the fetal and infant settings.

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Book SynopsisThis book constitutes the proceedings of the 6th International Conference on Applied Informatics, ICAI 2023, which took place in Guayaquil, Ecuador, in October 2023.The 30 papers presented in this volume were carefully reviewed and selected from 132 submissions. The contributions are divided into the following thematic blocks: Artificial Intelligence; Data Analysis; Decision Systems; Enterprise Information Systems Applications; Geoinformatics; Health Care Information Systems; Interdisciplinary Information Studies; Learning Management Systems; Virtual and Augmented Reality.Table of ContentsArtificial Intelligence.- Data Analysis.- Decision Systems.- Enterprise Information Systems Applications.- Geoinformatics.- Health Care Information Systems.- Interdisciplinary Information Studies.- Learning Management Systems.- Virtual and Augmented Reality.

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Book SynopsisThis book constitutes the proceedings of the 22nd International Semantic Web Conference, ISWC 2023, which took place in October 2023 in Athens, Greece. The 58 full papers presented in this double volume were thoroughly reviewed and selected from 248 submissions. Many submissions focused on the use of reasoning and query answering, witha number addressing engineering, maintenance, and alignment tasks for ontologies. Likewise, there has been a healthy batch of submissions on search, query, integration, and the analysis of knowledge. Finally, following the growing interest in neuro-symbolic approaches, there has been a rise in the number of studies that focus on the use of Large Language Models and Deep Learning techniques such as Graph Neural Networks.

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Book SynopsisThis book constitutes the refereed proceedings of the 42nd International Conference on Conceptual Modeling, ER 2023, held in Lisbon, Portugal, during November 6-9, 2023. The 21 full papers were carefully reviewed and selected from 121 submissions. Additionally, the book contains 4 keynote speeches and 3 tutorials, and one invited paper corresponding to one of the keynote speeches. The papers cover a broad spectrum of classical and modern topics on conceptual modeling, including research and practice in the theories of concepts and ontologies, techniques for transforming conceptual models into effective implementations, and methods and tools for developing and communicating conceptual models.Table of Contents​Invited Paper.- Stochastic LLMs do not Understand Language: Towards Symbolic, Explainable and Ontologically Based LLMs.- The Conceptual Modeling Task.- A Survey of Ethical Reasoning Methods, their Metamodels, and a Theory on their Application to Conceptual Modelling.- Use of Competency Questions in Ontology Engineering: a Survey.- How Inclusive is Conceptual Modeling? A Systematic Review of Literature and Tools for Disability-aware Conceptual Modeling.- The Meta Level.- A Terminological and Semiotic Review of the Digital Object Concept.- The Ontology for Conceptual Characterization of Ontologies.- ProMoTe: A Data Product Model Template for Industry.- Model-Based Analysis and Implementation.- Using a Conceptual Model in Plug-and-play SQL.- Sanity-Checking Multiple Levels of Classification – A Formal Approach with a ConceptBase Implementation.- A Safari for Deviating GoF Pattern Definitions and Examples on the Web.- Process Mining and Abstraction.- Object-Centric Alignments.- Transforming Event Knowledge Graph to Object-Centric Event Logs: A Comparative Study for Multi-dimensional Process Analysis.- Ontology-Based Abstraction of Bot Models in Robotic Process Automation.- Modeling Events and Processes.- Shards of Knowledge – Modeling Attributions for Event-Centric Knowledge Graphs.- A Characterisation of Ambiguity in BPM.- Dealing with the evolution of event-based choreographies of BPMN fragments: definition and proof of concept.- Conceptual Modeling in Context.- Safety Analysis of Human Robot Collaborations with GRL Goal Models.- A Domain-Specific Visual Modeling Language for Augmented Reality Applications Using WebXR.- An Ontology for Context Modeling in Smart Spaces.- Applications of Conceptual Modeling.- A Reference Meta-Model to Understand DNA Variant Interpretation Guidelines.- A Conceptual Modeling Approach for Risk Assessment and Mitigation in Collision-free UAV Routing for Beyond-the-Visual-Line-of-Sight Flights.- QuantumShare: Towards An Ontology for Bridging the Quantum Divide.

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Book SynopsisThis three-volume set LNCS 14406-14408 constitutes the refereed proceedings of the 7th Asian Conference on Pattern Recognition, ACPR 2023, held in Kitakyushu, Japan, in November 2023. The 93 full papers presented were carefully reviewed and selected from 164 submissions. The conference focuses on four important areas of pattern recognition: pattern recognition and machine learning, computer vision and robot vision, signal processing, and media processing and interaction, covering various technical aspects.Table of Contentsartificial intelligence.- computer networks.- computer science.- computer systems.- computer vision.- databases.- education.- engineering.- image analysis.- image processing.- image segmentation.- internet learning.- machine learning.- mathematics.- neural networks.- object recognition.- pattern recognition semantics.- signal processing.

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Book SynopsisThis three-volume set LNCS 14406-14408 constitutes the refereed proceedings of the 7th Asian Conference on Pattern Recognition, ACPR 2023, held in Kitakyushu, Japan, in November 2023. The 93 full papers presented were carefully reviewed and selected from 164 submissions. The conference focuses on four important areas of pattern recognition: pattern recognition and machine learning, computer vision and robot vision, signal processing, and media processing and interaction, covering various technical aspects.Table of Contentsartificial intelligence.- computer networks.- computer science.- computer systems.- computer vision.- databases.- education.- engineering.- image analysis.- image processing.- image segmentation.- internet learning.- machine learning.- mathematics.- neural networks.- object recognition.- pattern recognition semantics.- signal processing.

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Book SynopsisThese two volumes constitute the proceedings of the 21st International Conference, ICSOC 2023, held Rome, Italy, during November 28–December 1, 2023.The 35 full papers and the 10 short papers included in this volume were carefully reviewed and selected from 208 submissions. The volumes focus on cutting-edge topics like artificial intelligence, machine learning, big data analytics, the Internet of Things (IoT), and emerging technologies such as quantum computing, blockchain, chatbots, and sustainable green IT solutions.Table of ContentsProcesses and workflows.- Service descriptions, tags, discovery and recommendation.- Service frameworks for IoT, mobile and smart environments.- Industrial papers.

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Book SynopsisThis 4-volume set of LNCS 14495-14498 constitutes the proceedings of the 40th Computer Graphics International Conference, CGI 2023, held in Shanghai, China, August 28 – September 1, 2023. The 149 papers in this set were carefully reviewed and selected from 385 submissions. They are organized in topical sections as follows: Detection and Recognition; Image Analysis and Processing; Image Restoration and Enhancement; Image Attention and Perception; Reconstruction; Rendering and Animation; Synthesis and Generation; Visual Analytics and Modeling; Graphics and AR/VR; Medical Imaging and Robotics; Theoretical Analysis; Image Analysis and Visualization in Advanced Medical Imaging Technology; Empowering Novel Geometric Algebra for Graphics and Engineering.Table of ContentsDetection and Recognition.- Image Analysis and Processing; Image Restoration and Enhancement; Image Attention and Perception.- Reconstruction; Rendering and Animation.- Synthesis and Generation.- Visual Analytics and Modeling; Graphics and AR/VR.- Medical Imaging and Robotics.- Theoretical Analysis; Image Analysis and Visualization in Advanced Medical Imaging Technology.- Empowering Novel Geometric Algebra for Graphics and Engineering.

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Book SynopsisThe dramatic progress of smartphone technologies has ushered in a new era of mobile sensing, where traditional wearable on-body sensors are being rapidly superseded by various embedded sensors in our smartphones. For example, a typical smartphone today, has at the very least a GPS, WiFi, Bluetooth, triaxial accelerometer, and gyroscope. Alongside, new accessories are emerging such as proximity, magnetometer, barometer, temperature, and pressure sensors. Even the default microphone can act as an acoustic sensor to track noise exposure for example. These sensors act as a ""lens"" to understand the user's context along different dimensions. Data can be passively collected from these sensors without interrupting the user. As a result, this new era of mobile sensing has fueled significant interest in understanding what can be extracted from such sensor data both instantaneously as well as considering volumes of time series from these sensors. For example, GPS logs can be used to determine automatically the significant places associated to a user's life (e.g., home, office, shopping areas). The logs may also reveal travel patterns, and how a user moves from one place to another (e.g., driving or using public transport). These may be used to proactively inform the user about delays, relevant promotions from shops, in his ""regular"" route. Similarly, accelerometer logs can be used to measure a user's average walking speed, compute step counts, gait identification, and estimate calories burnt per day. The key objective is to provide better services to end users. The objective of this book is to inform the reader of the methodologies and techniques for extracting meaningful information (called ""semantics"") from sensors on our smartphones. These techniques form the cornerstone of several application areas utilizing smartphone sensor data. We discuss technical challenges and algorithmic solutions for modeling and mining knowledge from smartphone-resident sensor data streams. This book devotes two chapters to dive deep into a set of highly available, commoditized sensors---the positioning sensor (GPS) and motion sensor (accelerometer). Furthermore, this book has a chapter devoted to energy-efficient computation of semantics, as battery life is a major concern on user experience.Table of ContentsAcknowledgments.- Introduction.- Semantic Trajectories from Positioning Sensors.- Semantic Activities from Motion Sensors.- Energy-Efficient Computation of Semantics from Sensors.- Conclusion.- Bibliography.- Authors' Biographies .

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Book SynopsisIn recent years, several knowledge bases have been built to enable large-scale knowledge sharing, but also an entity-centric Web search, mixing both structured data and text querying. These knowledge bases offer machine-readable descriptions of real-world entities, e.g., persons, places, published on the Web as Linked Data. However, due to the different information extraction tools and curation policies employed by knowledge bases, multiple, complementary and sometimes conflicting descriptions of the same real-world entities may be provided. Entity resolution aims to identify different descriptions that refer to the same entity appearing either within or across knowledge bases. The objective of this book is to present the new entity resolution challenges stemming from the openness of the Web of data in describing entities by an unbounded number of knowledge bases, the semantic and structural diversity of the descriptions provided across domains even for the same real-world entities, as well as the autonomy of knowledge bases in terms of adopted processes for creating and curating entity descriptions. The scale, diversity, and graph structuring of entity descriptions in the Web of data essentially challenge how two descriptions can be effectively compared for similarity, but also how resolution algorithms can efficiently avoid examining pairwise all descriptions. The book covers a wide spectrum of entity resolution issues at the Web scale, including basic concepts and data structures, main resolution tasks and workflows, as well as state-of-the-art algorithmic techniques and experimental trade-offs.Table of ContentsList of Figures.- List of Tables.- Preface.- Acknowledgments.- Web of Data: Describing and Linking Entities.- Matching and Resolving Entities.- Blocking.- Iterative Entity Resolution.- Experimental Evaluation of Blocking Algorithms.- Conclusions.- Bibliography.- Authors' Biographies .

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Book SynopsisAfter a slow incubation period of nearly 15 years, a large and growing number of organizations now have one or more projects using the Semantic Web stack of technologies. The Web Ontology Language (OWL) is an essential ingredient in this stack, and the need for ontologists is increasing faster than the number and variety of available resources for learning OWL. This is especially true for the primary target audience for this book: modelers who want to build OWL ontologies for practical use in enterprise and government settings. The purpose of this book is to speed up the process of learning and mastering OWL. To that end, the focus is on the 30% of OWL that gets used 90% of the time. Others who may benefit from this book include technically oriented managers, semantic technology developers, undergraduate and post-graduate students, and finally, instructors looking for new ways to explain OWL. The book unfolds in a spiral manner, starting with the core ideas. Each subsequent cycle reinforces and expands on what has been learned in prior cycles and introduces new related ideas. Part 1 is a cook's tour of ontology and OWL, giving an informal overview of what things need to be said to build an ontology, followed by a detailed look at how to say them in OWL. This is illustrated using a healthcare example. Part 1 concludes with an explanation of some foundational ideas about meaning and semantics to prepare the reader for subsequent chapters. Part 2 goes into depth on properties and classes, which are the core of OWL. There are detailed descriptions of the main constructs that you are likely to need in every day modeling, including what inferences are sanctioned. Each is illustrated with real-world examples. Part 3 explains and illustrates how to put OWL into practice, using examples in healthcare, collateral, and financial transactions. A small ontology is described for each, along with some key inferences. Key limitations of OWL are identified, along with possible workarounds. The final chapter gives a variety of practical tips and guidelines to send the reader on their way.Table of ContentsForward by Dave McComb.- Foreword by Mark A. Musen.- Preface.- Acknowledgments.- Part 1: Introducing OWL.- Getting Started: What Do We Need to Say?.- How Do We Say it in OWL?.- Fundamentals: Meaning, Semantics, and Sets.- Part 2: Going into Depth: Properties and Classes.- Properties.- Classes.- Part 3: Using OWL in Practice.- More Examples.- OWL Limitations.- Go Forth and Ontologize.- Appendices.- Author Biography.- Index .

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Book SynopsisThe aim of the book is to help students become data scientists. Since this requires a series of courses over a considerable period of time, the book intends to accompany students from the beginning to an advanced understanding of the knowledge and skills that define a modern data scientist. The book presents a comprehensive overview of the mathematical foundations of the programming language R and of its applications to data science.

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Book SynopsisThis CIGRE green book begins by addressing the specification and provision of communication services in the context of operational applications for electrical power utilities, before subsequently providing guidelines on the deployment or transformation of networks to deliver these specific communication services. Lastly, it demonstrates how these networks and their services can be monitored, operated, and maintained to ensure that the requisite high level of service quality is consistently achieved.Table of ContentsPART 1 - OPERATIONAL APPLICATIONS AND THEIR COMMUNICATION REQUIREMENTS 1. Operational Applications in the Power Delivery System 2. Substation-to-Substation Applications 3. Substation-to-Central Platform Applications 4. Inter-platform Applications 5. Office-to-Field Applications 6. Distribution Applications PART 2 - PROVISIONING OF UTILITY-GRADE COMMUNICATION SERVICES 1. Service Provisioning, Quality of Service and SLA 2. Service specification attributes (time, loss, throughput, dependability, security, cost) 3. Building and Adjusting Service Level Agreements – the Service Catalog <4. Service Provisioning Models and their impact on the Delivery Process PART 3 - DELIVERY OF COMMUNICATION SERVICES IN THE UTILITY ENVIRONMENT 1. Introduction 2. Communication Service Delivery Architecture 3. Service Interfacing at the Access Point 4. Time Synchronization at User-to-Network Interface 5. Circuit and Packet Conversions at the Service Access Point 6. Modeling the Service Delivery Process 7. Managing the Delivered Communication Service 8. Meeting Service Quality at a Packet Switched Access Point 9. Integrating Service Delivery for IT and OT Communications Part 4 - DEPLOYING RELIABLE AND SECURE NETWORK INFRASTRUCTURES 1. Introduction 2. An Overview on Network Technologies 3. Hierarchical and Overlay Architectures 4. Revisiting the Process Model – Upstream Management 5. Telecom Network Asset Ownership 6. Planning Network Transformations and Migrations 7. Cyber-secure and Disaster-resistant Communications Part 5 - MAINTAINING NETWORK OPERATION IN NORMAL AND DISASTER SITUATIONS 1. Introduction 2. Reasons for a Formal Approach to O&M 3. O&M Scope, Process and Organization 4. Managing Faults and Anomalies 5. Incident Management and Work Assignment 6. Configuration and Change Management 7. Quality and Performance Monitoring 8. Telecom O&M Communications and Field Worker Support

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Book SynopsisThis book sheds light on cross-industry and industry-specific trends in today’s digital economy. Prepared by a group of international researchers, experts and practitioners under the auspices of SAP’s Digital Thought Leadership & Enablement team within SAP’s Business Transformation Services (BTS) unit, the book furthermore presents relevant use cases in digital transformation and innovation. The book argues that breakthrough technologies have matured and hit scale together, enabling five defining trends: hyper-connectivity, supercomputing, cloud computing, a smarter world, and cyber security. It presents in detail how companies are now reimagining their products and services, business models and processes, showcasing how every business today is a digital business. Digitalization, defined as the process of moving to a digital business, is no longer a choice but an imperative for all businesses across all industries and regions. Taking a step toward becoming a digital enterprise is demanding and challenging. The dimensions of customer centricity, leadership and strategy, business models, including offerings (products and services), processes, structure and governance, people and skills, culture, and technology foundation can serve as orientation for digitalization. The articles in this book touch on all dimensions of this digital innovation and transformation framework and offer possible answers to some of the pressing questions that arise when practitioners seek to digitalize their business.Trade Review“Shaping the digital enterprise is an edited collection of 15 chapters compiled by a SAP business transformation services (BTS) team. … Most chapters have tables or diagrams that highlight important concepts. … ‘Key learnings’ and references are at the end of each chapter. … The editors and authors are accomplished international researchers, consultants, and practitioners. … read this book and help shape the digital future to create positive business and social change.” (Ernest Hughes, Computing Reviews, February, 2017)Table of ContentsPart I: Cross-Industry Trends.- Part II: Industry-Specific Trends.- Part III: Use Cases.

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Book SynopsisThis book reflects a current state of the art and future perspectives of Digital Heritage focusing on not interpretative reconstruction and including as well as bridging practical and theoretical perspectives, strategies and approaches. Comprehensive key challenges are related to knowledge transfer and management as well as data handling within a interpretative digital reconstruction of Cultural Heritage including aspects of digital object creation, sustainability, accessibility, documentation, presentation, preservation and more general scientific compatibility. The three parts of the book provide an overview of a scope of usage scenarios, a current state of infrastructures as digital libraries, information repositories for an interpretative reconstruction of Cultural Heritage; highlight strategies, practices and principles currently used to ensure compatibility, reusability and sustainability of data objects and related knowledge within a 3D reconstruction work process on a day to day work basis; and show innovative concepts for the exchange, publishing and management of 3D objects and for inherit knowledge about data, workflows and semantic structures.Table of ContentsA Model Classification for Digital 3D Reconstruction in the Context of Humanities.- Typical Workflows, Documentation Approaches and Principles of 3D Digital Reconstruction of Cultural Heritage.- Digital Reconstruction in Historical Research and its Implications for Virtual Research Environments.- Digital Research Infrastructures: DARIAH.- Heritage and Museum Displays. Buildings, Cities, Landscapes, Illuminated Models.- Interpretation of Sensor-based 3D Documentation.- 3D Model, Linked Database, and Born-Digital E-Book: An Ideal Approach to Archaeological Research and Publication.- 3D Models on Triple Paths.- New Pathways for Documenting and Visualizing Virtual Reconstructions.- Classification schemes for visualization of uncertainty in digital hypothetical reconstruction.- Show me the Data!: Structuring Archaeological Data to Deliver Interactive, Transparent 3D Reconstructions in a 3D WebGIS.- Enrichment and Preservation of Architectural Knowledge.- Simplifying Documentation of Digital Reconstruction Processes. Introducing an interactive documentation system.- Cultural Heritage in a Spatial Context. Towards an Integrative, Interoperable, and Participatory Data and Information Management.

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Book SynopsisThis book constitutes the refereed proceedings of the 12th International Conference on Persuasive Technology, PERSUASIVE 2017, held in Amsterdam, The Netherlands, in April 2017. The 23 revised full papers presented were carefully reviewed and selected from 85 submissions. The papers are grouped in topical sections on health(care), monitoring, and coaching; personality, personalization, and persuasion; motivations, facilitators, and barriers; design principles and strategies.Table of ContentsHealth(care), monitoring, and coaching.- Personality, personalization, and persuasion.- Motivations, facilitators, and barriers.- Design principles and strategies.

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Book SynopsisThis book is the first to present a rich selection of over 30 real-world cases of how leading organizations conduct Business Process Management (BPM). The cases stem from a diverse set of industry sectors and countries on different continents, reporting on best practices and lessons learned. The book showcases how BPM can contribute to both exploitation and exploration in a digital world. All cases are presented using a uniform structure in order to provide valuable insights and essential guidance for students and practitioners.Trade Review“The book is a useful and comprehensive summary of several real-life case studies for organizations and researchers. It is a valuable resource in the form of empirical evidence.” (Bálint Molnár, Computing Reviews, July, 2018) ​Table of ContentsIntroduction.- Part I: Strategy and Governance.- Part II: Methods.- Part III: Information Technology.- Part IV: People and Culture.

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