Artificial intelligence (AI) Books

Book SynopsisArgumentation mining is an application of natural language processing (NLP) that emerged a few years ago and has recently enjoyed considerable popularity, as demonstrated by a series of international workshops and by a rising number of publications at the major conferences and journals of the field. Its goals are to identify argumentation in text or dialogue; to construct representations of the constellation of claims, supporting and attacking moves (in different levels of detail); and to characterize the patterns of reasoning that appear to license the argumentation. Furthermore, recent work also addresses the difficult tasks of evaluating the persuasiveness and quality of arguments. Some of the linguistic genres that are being studied include legal text, student essays, political discourse and debate, newspaper editorials, scientific writing, and others. The book starts with a discussion of the linguistic perspective, characteristics of argumentative language, and their relationship to certain other notions such as subjectivity. Besides the connection to linguistics, argumentation has for a long time been a topic in Artificial Intelligence, where the focus is on devising adequate representations and reasoning formalisms that capture the properties of argumentative exchange. It is generally very difficult to connect the two realms of reasoning and text analysis, but we are convinced that it should be attempted in the long term, and therefore we also touch upon some fundamentals of reasoning approaches. Then the book turns to its focus, the computational side of mining argumentation in text. We first introduce a number of annotated corpora that have been used in the research. From the NLP perspective, argumentation mining shares subtasks with research fields such as subjectivity and sentiment analysis, semantic relation extraction, and discourse parsing. Therefore, many technical approaches are being borrowed from those (and other) fields. We break argumentation mining into a series of subtasks, starting with the preparatory steps of classifying text as argumentative (or not) and segmenting it into elementary units. Then, central steps are the automatic identification of claims, and finding statements that support or oppose the claim. For certain applications, it is also of interest to compute a full structure of an argumentative constellation of statements. Next, we discuss a few steps that try to 'dig deeper': to infer the underlying reasoning pattern for a textual argument, to reconstruct unstated premises (so-called 'enthymemes'), and to evaluate the quality of the argumentation. We also take a brief look at 'the other side' of mining, i.e., the generation or synthesis of argumentative text. The book finishes with a summary of the argumentation mining tasks, a sketch of potential applications, and a--necessarily subjective--outlook for the field.Table of ContentsPreface.- Acknowledgments.- Introduction.- Argumentative Language.- Modeling Arguments.- Corpus Annotation.- Finding Claims.- Finding Supporting and Objecting Statements.- Deriving the Structure of Argumentation.- Assessing Argumentation.- Generating Argumentative Text.- Summary and Perspectives.- Bibliography.- Authors' Biographies.- Index.

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

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

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Book SynopsisThe book comprises high-quality refereed research papers presented at the Second International Conference on Artificial Intelligence and Logistics Engineering (ICAILE2022), held in Kyiv, Ukraine, on February 20–22, 2022, organized jointly by the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute," Wuhan University of Technology, Nanning University, National Aviation University, and the International Research Association of Modern Education and Computer Science. The topics discussed in the book include state-of-the-art papers in artificial intelligence and logistics engineering. It is an excellent source of references for researchers, graduate students, engineers, management practitioners, and undergraduate students interested in artificial intelligence and its applications in logistics engineering.Table of ContentsAccelerating Simulation of the PDE Solution by the Structure of the Convolutional Neural Network Modifying.- Combined Machine Learning Model for Covid-19 Analysis and Forecasting in Ukraine.- Power Consumption Analysis at MAC-sublayer of Wireless Sensor Networks.- Optimal Control with Prediction for the Process of Vacuum Membrane Distillation.- Improved Quantum Genetic Algorithm on Multilevel Quantum Systems for 0-1 Knapsack Problem.- Edge Intelligence for Medical Applications under Field Conditions.- Multipath Routing in Intelligent Transport Networks.- Artificial Intelligence Platform for Distant Computer-Aided Detection (CADe) and Computer-Aided Diagnosis (CADx) of Human Diseases.- Modification of the LSB Implementation Method of Digital Watermarks.- Datalogical Model of Dialogue Script.- Modified Method of Cryptocurrency Exchange Rate Forecasting Based on ARIMA Class Models with Data Verification.- Electrocardiogram Effective Analysis Based on the Random Forest Model with Preselected Parameters.- Digital Technology: Emerging Issue for Agriculture.- Neural Network Method of Items Catalog Forming for Online Store.- Methods of Constructing a Lighting Control System for Wireless Sensor Network "Smart Home".- Material Planning with Hybrid Weed Invasion Algorithm under Cutting Problem Constraints.- Teaching Reform of Supply Chain Management Based on the Concept of Autonomous Learning.- Digitalization of the Educational Process of Training Future Engineering-teachers.- Application of POA in CET-4 Translation Teaching.

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

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

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

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Book SynopsisThis book features papers focusing on the implementation of new and future technologies, which were presented at the International Conference on New Technologies, Development and Application, held at the Academy of Science and Arts of Bosnia and Herzegovina in Sarajevo on 23rd–25th June 2022. It covers a wide range of future technologies and technical disciplines, including complex systems such as industry 4.0; patents in industry 4.0; robotics; mechatronics systems; automation; manufacturing; cyber-physical and autonomous systems; sensors; networks; control, energy, renewable energy sources; automotive and biological systems; vehicular networking and connected vehicles; intelligent transport, effectiveness and logistics systems, smart grids, nonlinear systems, power, social and economic systems, education, IoT. The book New Technologies, Development and Application V is oriented towards Fourth Industrial Revolution “Industry 4.0”, in which implementation will improve many aspects of human life in all segments and lead to changes in business paradigms and production models. Further, new business methods are emerging, transforming production systems, transport, delivery and consumption, which need to be monitored and implemented by every company involved in the global market.

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Book SynopsisThis book constitutes the refereed proceedings of the 10th International Conference on Culture and Computing, C&C 2022, held as part of the 23rd International Conference, HCI International 2022, which was held virtually in June/July 2022. The total of 1271 papers and 275 posters included in the HCII 2022 proceedings was carefully reviewed and selected from 5487 submissions. The C&C 2022 proceedings presents topics such as User Experience, Culture, and Technology, Culture and Computing in Arts and Music and preservation and fruition of cultural heritage, as well as developing and shaping future cultures.Table of ContentsUser Experience, Culture, and Technology.- Interactions with Tangible and Intangible Cultural Heritage.- Culture and Computing in Arts and Music.- Reflections on ICT and Culture.

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Book SynopsisThis book provides comprehensive coverage of the latest advances and trends in information technology, science and engineering. Specifically, it addresses a number of broad themes, including multi-modal informatics, data mining, agent-based and multi-agent systems for health and education informatics, which inspire the development of intelligent information technologies. The book covers a wide range of topics such as AI applications and innovations in health and education informatics; data and knowledge management; multi-modal application management; and web/social media mining for multi-modal informatics. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and a useful reference guide for newcomers to the field. This book is a compilation of the papers presented in the 4th International Conference on Multi-modal Information Analytics, held online, on April 23, 2022.Table of ContentsDesign and Application of Grid Management Database Based on Data Sharing Technology.- Route Tracking Model of Rock Climbing Activity Based on Probabilistic Hough Transform Algorithm.- Application of Ant Colony Optimization Algorithm in the Design of Laser Methane Telemetry System.- Low-Carbon Economic Life and Landscape Design Analysis and Research.- Fault Monitoring Technology of Electrical Automation Equipment Based on Decision Tree Algorithm.- Coal Mine Safety Risk Intelligent Control and Information Decision Analysis System.- Microbial Detection Technology Based on Intelligent Optimization Algorithm.- Artificial Intelligence Applied in Electrical Engineering Automation.- Line Loss Allocation of Distribution Network Capacity Based on Optimal Multi-objective Programming with Annealing Algorithm.- Design of Full Life-cycle Management System for Construction Project Based on "BIM+GIS".- Cost Prediction of Municipal Road Engineering Based on Optimization of SVM Parameters by RF-WPA Hybrid Algorithm.- Three-dimensional Scene Data Organization and Management of Indoor Positioning Based on Virtual Technology.- Hotel Intelligent System Design Based on Machine Learning Technology.- The Application of Intelligent Meter Reading and Inspection in Substation Operation and Maintenance Management.- The Application of Visualized Monitoring of Partial Discharge in Power Equipment.- The City Information Visual Based on ArcGIS Technology.

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Book SynopsisThis proceedings, LCT 2022, constitutes the refereed proceedings of the 9th International Conference on Learning and Collaboration Technologies, LCT 2022, held as Part of the 24th International Conference, HCI International 2022, which took place in June/July 2022. Due to COVID-19 pandemic the conference was held virtually.The total of 1271 papers and 275 poster papers included in the 39 HCII 2022 proceedings volumes was carefully reviewed and selected from 5487 submissions. The papers of LCT 2022 are organized in topical sections named: Designing and Developing Learning Technologies; Learning and Teaching Online; Diversity in Learning; Technology in Education: Practices and Experiences.

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

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Book SynopsisThis book constitutes the refereed proceedings of the 12th IFIP TC 12 International Conference on Intelligent Information Processing, IIP 2022, held in Qingdao, China, in July 2022. The 37 full papers and 6 short papers presented were carefully reviewed and selected from 57 submissions. They are organized in topical sections on Machine Learning, Data Mining, Multiagent Systems, Social Computing, Blockchain Technology, Game Theory and Emotion, Pattern Recognition, Image Processing and Applications.Table of ContentsMachine Learning.- An AdaBoost Based- Deep Stochastic Configuration Network.- Comparative Study of Chaos-embedded Particle Swarm Optimization.- A Novel Feature Selection Algorithm Based on Aquila Optimizer for COVID-19 Classification.- Inductive Light Graph Convolution Network for Text Classification based on Word-Label Graph.- Sparse Subspace Clustering Based on Adaptive Parameter Training.- A Hybrid Multi-objective Optimization Algorithm with Improved Neighborhood Rough Sets for Feature Selection.- Augmenting Convolution Neural Networks By Utilizing Attention Mechanism for Knowledge Tracing.- Data Mining.- Interactive Mining of User-Preferred Co-Location Patterns Based on SVM.- Classification between Rumors and Explanations of Rumors based on Common and Difference Subsequences of Sentences.- Double-Channel Multi-layer Information Fusion for Text Matching.- Augmenting Context Representation with Triggers Knowledge for Relation Extraction.- Does Large Pretrained Dataset always help? On the Effect of Dataset Size on Big Transfer Model.- Using Multi-level Attention based on Concept Embedding Enrichen Short Text to Classification.- Multiagent Systems.- Pre-loaded Deep-Q Learning.- Resource Scheduling for Human-Machine Collaboration in Multiagent Systems.- Social Computing.- Automatic Generation and Analysis of Role Relation Network from Emergency Plans.- Information Tracking Extraction for Emergency Scenario Response.- Neighborhood Network for Aspect-based Sentiment Analysis.- A Hybrid Parallel Algorithm with Multiple Improved Strategies.- Blockchain Technology.- Research on Blockchain Privacy Protection Mechanism in Financial Transaction Services based on Zero-knowledge Proof and Federal Learning.- A Distributed Supply Chain Architecture Based on Blockchain Technology.- Game Theory and Emotion.- A Game-Theoretic Analysis of Impulse Purchase.- A Self-supervised Strategy for the Robustness of VQA Models.- Employing Contrastive Strategies for Multi-label Textual Emotion Recognition.- Pattern Recognition.- Fault Localization Based on Deep Neural Network and Execution Slicing.- Defect Detection and Classification of Strip Steel based on Improved VIT Model.- ROSES: A novel semi-supervised feature selector.- Improving speech emotion recognition by fusing pre-trained and acoustic features using Transformer and BiLSTM.- A Pear Leaf Diseases Image Recognition Model Based on Capsule Network.- Software Defect Prediction Method Based on Cost-Sensitive Random Forest.- Fault Diagnosis of Sewage Treatment Equipment Based on Feature Selection.- Attention Adaptive Chinese Named Entity Recognition Based on Vocabulary Enhancement.- Image Processing.- A HEp-2 Cell Image Classification Model Based on Deep Residual Shrinkage Network Combined with Dilated Convolution.- A Method on Online Learning Video Recommendation Method Based on Knowledge Graph.- Data Transformation for Super-Resolution on Ocean Remote Sensing Images.- A Novel RGBD Image Superpixel Segmentation Intergrated Depth Map Quality.- Super-Resolution of Defocus Thread Image Based on Cycle Generative Adversarial Networks.- Multi-instance Learning for Semantic Image Analysis.- High-resolution Remote Sensing Image Semantic Segmentation Method Based on Improved Encoder-Decoder Convolutional Neural Network.- Applications.- A Method for AGV Double-cycling Scheduling at Automated Container Terminals.- Predicting Student Performance In Online Learning Using A Highly Efficient Gradient Boosting Decision Tree.- Adapting on Road Traffic-oriented Controlled Optimization of Phases to Heterogeneous Intersections.- A Method of Garbage Quantity Prediction based on Population Change.

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Book SynopsisThe 3-volume set LNAI 13280, LNAI 13281 and LNAI 13282 constitutes the proceedings of the 26th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2022, which was held during May 2022 in Chengdu, China. The 121 papers included in the proceedings were carefully reviewed and selected from a total of 558 submissions. They were organized in topical sections as follows: Part I: Data Science and Big Data Technologies, Part II: Foundations; and Part III: Applications.Table of ContentsData Science.- Big Data.- Data mining. Model selection,.- Biological data.- IoT data,.- Deep learning. Meta-learning.- Security.- Privacy.

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Book SynopsisThis book is the result of four-year work in the framework of the Ibero-American Research Network TICs4CI funded by the CYTED program. In the following decades, 85% of the world's population is expected to live in cities; hence, urban centers should be prepared to provide smart solutions for problems ranging from video surveillance and intelligent mobility to the solid waste recycling processes, just to mention a few. More specifically, the book describes underlying technologies and practical implementations of several successful case studies of ICTs developed in the following smart city areas: • Urban environment monitoring • Intelligent mobility • Waste recycling processes • Video surveillance • Computer-aided diagnose in healthcare systems • Computer vision-based approaches for efficiency in production processes The book is intended for researchers and engineers in the field of ICTs for smart cities, as well as to anyone who wants to know about state-of-the-art approaches and challenges on this field. Table of ContentsArt Graffiti Detection in Urban Images using Deep Learning.- Deep Neural Networks for Passengers’ Density Estimation and Face Mask Detection for COVID-19 in Public Transportation Services.- Epistemic Uncertainty Quantification in Human Trajectory Prediction.

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Book SynopsisThe book consists of papers on selected topics of dependability analysis in computer systems and networks which were discussed during the 17th DepCoS-RELCOMEX conference held in Wrocław, Poland, from June 27th to July 1st, 2022. Their collection will be an interesting source material for scientists, researchers, practitioners and students who are dealing with design, analysis and engineering of computer systems and networks and must ensure their dependable operation. Being probably the most complex technical systems ever engineered by man (and also, the most dynamically evolving ones), organization of contemporary computer systems and networks cannot be interpreted only as a structure built on the base of unreliable technical resources. Their evaluation must take into account a unique blend of interacting people, networks (together with mobile properties, cloud organization, Internet of Everything, etc.) and a large number of users dispersed geographically and constantly producing an unconceivable number of applications. Research methods being continuously developed for dependability analyses apply newest results of artificial and computational intelligence. Selection of papers in this book illustrates broad range of topics, often multi-disciplinary, which is considered in present-day dependability explorations; it also reveals an increasing role of the latest methods based on machine/deep learning and neural networks in these studies.Table of ContentsMeasures of Outlierness in High-Dimensional Data under Correlation of Features - with Application for Open-Set Classification, Szymon Datko, Henryk Maciejewski, Tomasz Walkowiak.- Multiprocessor tasks scheduling - Fuzzy Logic Approach, Dariusz Dorota.- Nonparametric tracking for time-varying nonlinearities using the kernel method, Purva Joshi, Grzegorz Mzyk.- Embedded systems' startup code optimization, Patryk Pankiewicz.- Influence of accelerometer placement on biometric gaitidentification, Aleksander Sawicki.- An Impact of Data Augmentation Techniques on the Robustness of CNNs, Kamil Szyc.- Dual Learning Model for Multiclass Brain Tumor classification, Rohit Thanki, Sanna Kaddoura.

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Book SynopsisThe book aims to face the challenge of post-COVID-19 dynamics toward green and digital transition, between metropolitan and return to villages’ perspectives. It presents a multi-disciplinary scientific debate on the new frontiers of strategic and spatial planning, economic programs and decision support tools, within the urban–rural areas networks and the metropolitan cities. The book focuses on six topics: inner and marginalized areas local development to re-balance territorial inequalities; knowledge and innovation ecosystem for urban regeneration and resilience; metropolitan cities and territorial dynamics; rules, governance, economy, society; green buildings, post-carbon city and ecosystem services; infrastructures and spatial information systems; cultural heritage: conservation, enhancement and management. In addition, the book hosts a Special Section: Rhegion United Nations 2020-2030. The book will benefit all researchers, practitioners and policymakers interested in the issues applied to metropolitan cities and marginal areas. Table of ContentsThe Valuation of Unused Public Buildings in Support of Culture-led Inner Areas’ Small Villages NRRP Strategies: an application model in Southern Italy.- Hydrological drivers and effects of wildfire in Mediterranean rural and forest ecosystems: A mini review.- River transport in Calabrian rivers.- Green Transition Towards Sustainability. Design, architecture, production.- (Un)earth vulnerable Chile.- Fostering resilience in Inner Areas. The Sicani case study in Sicily.- Application of crowd sensing for sustainable management of smart cities.- Ecological transition and planning strategies.

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Book SynopsisThis book presents recent advances in computational optimization. The book includes important real problems like modeling of physical processes, parameter settings for controlling different processes, transportation problems, machine scheduling, air pollution modeling, solving multiple integrals and systems of differential and integral equations which describe real processes, solving engineering and financial problems.It shows how to develop algorithms for them based on new intelligent methods like evolutionary computations, ant colony optimization, constrain programming Monte Carlo method and others. This research demonstrates how some real-world problems arising in engineering, economics and other domains can be formulated as optimization problems.Table of ContentsLearning to Optimize.- Optimal seating assignment in the COVID-19 era via Quantum Computing.- Hybrid Ant Colony Optimization Algorithms – Behaviour Investigation Based on Intuitionistic Fuzzy Logic.- Scheduling algorithms for single machine problem with release and delivery times.- Key Performance Indicators to Improve e-Mail Service Quality through ITIL Framework.- Contemporary Bioprocesses Control Algorithms for Educational Purposes.- Monitoring a Fleet of Autonomous Vehicles through A* like Algorithms and Reinforcement Learning.- Rather "good in, good out" than "garbage in, garbage out": A comparison of various discrete subsampling algorithms using COVID-19 data without a response variable.

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Book SynopsisThis book provides a comprehensive discussion and new insights about linear optimization of content metrics to improve the automatic Evaluation of Text Summaries (ETS). The reader is first introduced to the background and fundamentals of the ETS. Afterward, state-of-the-art evaluation methods that require or do not require human references are described. Based on how linear optimization has improved other natural language processing tasks, we developed a new methodology based on genetic algorithms that optimize content metrics linearly. Under this optimization, we propose SECO-SEVA as an automatic evaluation metric available for research purposes. Finally, the text finishes with a consideration of directions in which automatic evaluation could be improved in the future. The information provided in this book is self-contained. Therefore, the reader does not require an exhaustive background in this area. Moreover, we consider this book the first one that deals with the ETS in depth.Table of ContentsIntroduction.- Background of the ETS.- Fundamentals of the ETS.- State-of-the-art Automatic Evaluation Methods.- A Novel Methodology based on Linear Optimization of Metrics for the ETS.- Experimenting with Linear Optimization of Metrics for Single-document Summarization Evaluation.- Experimenting with Linear Optimization of Metrics for Multi-document Summarization Evaluation.- Conclusions and future considerations for the ETS.

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Book SynopsisThis book constitutes the refereed proceedings of the 13th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2022, held in Caparica, Portugal, during June-July 2022. The 22 full papers presented were carefully reviewed and selected from 48 submissions. The papers present selected results produced in engineering doctoral programs and focus on technological innovation for industry and service systems. The papers are organized into the following topical sub-headings: Smart Systems Thinking; Cyber-physical Systems; health-related Digitalization; Electric Systems and Machines; Smart Devices; and Control and Digital Platforms. Table of Contents Smart Systems Thinking.- Modelling Mutual Influence Towards Sustainable Energy Consumption.- Assessing the Benefits of Renewable Energy Communities: A Portuguese Case Study.- Open Innovation Association with Feeling Economy.- Creating Meaningful Intelligence for Decision-Making by Modelling Complexities of Human Influence: Review and Position.- Cyber-Physical Systems.- Asynchronous Communication between Modular Cyber-physical Production Systems and Arduino based Industrial Controllers.- Mechanisms for Service Composition in Collaborative Cyber-Physical Systems.- Hippo-CPS: Verification of Boundedness, Safeness and Liveness of Petri net-based Cyber-Physical Systems.- Estimation of the End-to-End Delay in 5G Networks through Gaussian Mixture Models.- Health-related Digitalization.- Towards Digital Twin in the Context of Power Wheelchairs Provision and Support.- Real-Time PPG-Based HRV Implementation Using Deep Learning and Simulink.- Neuromotor Evaluation of the Upper Limb During Activities of Daily Living: A Pilot Study.- Gesture-based Feedback in Human-Robot Interaction for Object Manipulation.- Electric Systems and Machines.- Exploring Electric Vehicles Energy Flexibility in Buildings.- A Rule-based Method for Efficient Electric Vehicle Charging Scheduling at Parking Lots.- A Novel Photovoltaic Maximum Power Point Tracking Method using Feedback Conductance Integral Compensation.- Reduction of Air-Gap Flux Density Distortion for a 20 kW HTS Induction Motor.- Smart Devices.- Rib Waveguide Plasmonic Sensor for Lab-On-Chip Technology.- An Energy-Efficient Wideband Input-Buffer for High-Speed CMOS ADCs.- Novel Graphene Electrode for Electromyography using Wearables based on Smart Textiles.- Control and Digital Platforms.- PLC as the Main Controller for Additive Manufacturing Machines.- Dynamic and Efficiency Study Applied to Automotive Vehicles.- Digital Platform for Environmental and Economic Analysis of Wire Arc Additive Manufacturing.

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Book SynopsisHigh dimensional reference architectures presented here allows confronting and prevailing over the growing complexity of polytopic projects implementations.Such projects should be envisaged giving that conventional systems operations, equipments, methodologies or organizations will reach their limits for self-evolvability in high complexity conditions. Self-evolvable high complexity systems are based on high dimensional polytopic reference architectures.Polytope is the general term of the sequence: point, line, polygon, polyhedron and so on.The polytopic projects are targeting the artificiality, not only for materials where it is well known and applied, but also for biological, cognitive, intelligent and mathematical systems. The book highlights the polytopic projects basic similarity despite the noticeable difference as domains of application. The roads to follow and the algebra of changing roads are emphasized.The book is divided in 9 chapters. Chapter 1 introduces the Polytopic Roadmap to 4D and beyond. The role for the dialogue of processes in duality of the non-Aristotelian Logic of Contradiction and of Included Middle is emphasized for different domains. Chapter 2 refers to chemical systems. Supramolecular chemistry, metal organic frameworks, MOF, and reaction networks, are the examples considered in the frame of polytopic chemistry. Chapter 3 refers to biological systems. Biological dynamical hierarchies and quasi-species are the considered case studies. Technological and scientific projects targeting artificiality for cells and viruses are considered. Chapter 4 refers to cognitive systems. Developmental stages, formal and relational concepts analysis, and neural coding are considered here. The roles of the 4D systems of systems of systems and of conceptual 4D-cube are emphasized. Artificiality for cognitive systems is the object of study.Chapter 5 refers to mathematical systems. Modeling levels and the 4D digital twins are discussed. Hopf monoids as tools for the study of combinations and separations, dual graded graphs and V-models are informally presented. Chapter 6 refers to application of formal concept analysis, FCA, for high dimensional separations, nesting and drug delivery. Chapter 7 refers to polytopic engineering systems as multiscale transfer, distributors-collectors, cyclic operations, middle vessel columns, mixing, assembly and designs. Equipments have been characterized using Polytopic Roadmaps and classified by Periodic Tables. Chapter 8 introduces polytopic industry, economy, society and sustainability. Chapter 9 outlines new domains of interest as arts and architecture, transdisciplinarity, complex systems and unity of sciences and engineering.Polytopic Roadmaps are proposed as Method for experts from various fields to synthesize their thinking and capabilities into new projects implementation to face and surpass high complexity. A repetitive finding of this book is that self-evolvability observed in physical systems is based on the same directed sequence of reference architectures as the self-evolvability of concepts in our mind. Continuing to develop the field of self-evolvable systems and presenting the polytopic roadmaps for 4D and beyond advances in ever growing complexity domains, the book will be useful to engineers, researchers, entrepreneurs and students in different branches of production, complex systems sciences and engineering, ecology and applied mathematics.Table of ContentsRoadmap to 4D and beyond.- Cognitive Systems.- Conceptual Systems.- Prospective.- Index.

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Book SynopsisThis book contains the proceedings of the 5th International Conference on Geoinformatics and Data Analysis (ICGDA 2022), held in January 21–23, Paris, France. Geoinformatics helps to support basic scientific inquiry as well as address the complex social and environmental challenges. It becomes very important technology to decision-makers across a wide range of disciplines such as computer science, information technology, software engineering, biogeography, geography, conservation, architecture, spatial analysis and reinforcement learning. The papers included in this proceeding share the latest research results and practical application examples on the methodologies and algorithms in the area of geoinformatics and data analysis, including software and information engineering, environmental geography and geographic information system, which makes the book a valuable reference for researchers, engineers and university students who are working in the field.Table of ContentsSpatio-temporal Characteristics of Land-cover Changes in China During 2000-2019.- Analyzing Geospatial Key Factors and Predicting Bike Activity in Hamburg.- Evaluation and Pattern Optimization of Ecological Space of Chongqing with Remote Sensing Data.- Research on Calculation Model of National Fragile State Based on Climate Vulnerability.- Daily Rainfall Analysis in Indonesia using ARIMA, Neural Network and LSTM.- Development of A Geoinformation Monitoring Module for The Khankalsky Geothermal Deposit in The Chechen Republic.- Mapping Fences in Xilingol Grassland Using High Spatiotemporal Resolution Remote Sensing Data.- Comparative Study on Remote Sensing Image Classifier of Jiulong River Basin.- OSM-GAN: Using Generative Adversarial Networks for Detecting Change in High-Resolution Spatial Images.- Analysis of Urban Sprawl and Growth Pattern Using Geospatial Technologies in Megacity, Bangkok, Thailand.- WEB-GIS for Transportation System of Oran City.- Construction Method of City-level Geographic Knowledge Graph Based on Geographic Entity.- Development of Remote Sensing Software Using a Boosted Tree Machine Learning Model Architecture for Professional and Citizen Science Applications.- Fast Construction of Vegetation Polygons Based on Object-oriented Method.- A/B Testing via Continuous Integration and Continuous Delivery.- An Automated Approach for Mapping between Software Requirements and Design Items: An Industrial Case from Turkey.- Code Comprehension for Read-Copy-Update Synchronization Contexts in C Code.

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Book SynopsisThis book presents different techniques and methodologies used to improve the intelligent decision-making process and increase the likelihood of success in companies of different sectors such as Financial Services, Education, Supply Chain, Energy Systems, Health Services, and others. The book contains and consolidates innovative and high-quality research contributions regarding the implementation of techniques and methodologies applied in different sectors. The scope is to disseminate current trends knowledge in the implementation of artificial intelligence techniques and methodologies in different fields such as: Logistics, Software Development, Big Data, Internet of Things, Simulation, among others. The book contents are useful for Ph.D. researchers, Ph.D. students, master and undergraduate students of different areas such as Industrial Engineering, Computer Science, Information Systems, Data Analytics, and others.Table of ContentsA Vertical Fragmentation Method for Multimedia Databases Considering Content-based Queries.- An approach based on process mining techniques to support software development.

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Book SynopsisIn this book, recent developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, are presented. In addition, the above-mentioned methods are applied to areas such as, intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. The book contains a collection of papers focused on hybrid intelligent systems based on soft computing techniques. There are some papers with the main theme of type-1 and type-2 fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on type-1 and type-2 fuzzy logic and their applications. There also some papers that offer theoretical concepts and applications of meta-heuristics in different areas. Another group of papers describe diverse applications of fuzzy logic, neural networks and hybrid intelligent systems in medical problems. There are also some papers that present theory and practice of neural networks in different areas of application. In addition, there are papers that present theory and practice of optimization and evolutionary algorithms in different areas of application. Finally, there are some papers describing applications of fuzzy logic, neural networks and meta-heuristics in pattern recognition and classification problems. Table of ContentsAutomated Medical Diagnosis & Classification of Skin Diseases Using Efficinetnet-B0 Convolutional Neural Network.- Modular Approach for Neural Networks in medical image classi-fication with enhanced fuzzy integration.- Clustering and prediction of time series for traffic accidents using a nested layered artificial neural network model.

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Book SynopsisThis book contains the refereed proceedings of the Cybernetics Perspectives in Systems session of the 11th Computer Science On-line Conference 2022 (CSOC 2022), which was held in April 2022 online. Papers on modern cybernetics and informatics in the context of networks and systems are an important component of current research issues. This volume contains an overview of recent method, algorithms and designs.

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Book SynopsisThis book presents a comprehensive study in the field of advances in medical data science and contains carefully selected articles contributed by experts of information technology. Continuous growth of the amount of medical information and the variety of multimodal content necessitates the demand for a fast and reliable technology able to process data and deliver results in a user-friendly manner at the time and place the information is needed. Computational approaches for understanding human complexity, AI-powered applications in image and signal processing, bioinformatics, sound and motion as activity stimulus, joint activities in biomedical engineering and physiotherapy, disorder in children, selected comparative studies give new meaning to optimization of the functional requirements of the healthcare system for the benefit of the patients. It is an interdisciplinary collection of papers that have both theoretical and applied dimensions. It includes the following research areas: Computational methods for understanding human complexity Image and signal analysis Multidimensional medical data analysis Sound and motion Joint activities in biomedical engineering and physiotherapy This book is a great reference tool for scientists who deal with problems of designing and implementing information processing tools employed in systems that assist the clinicians, radiologists, and physiotherapists in patient diagnosis and treatment. It also serves students in exploring innovations in quantitative medical data analysis, data mining, and artificial intelligence.Table of ContentsClassifying Changes in Motion Behaviour Due to a Hospital Stay Using Floor Sensor Data – a Single Case Study.- Cloud-Based System for Vital Data Recording at Patients’ Home.- Tele-BRAIN Diagnostics Support System for Cognitive Disorders in Parkinson’s Patients.- EEG Signal and Deep Learning Approach in Evaluation of Cognitive Declines in Parkinson’s Disease.- Construction of a Cephalometric Image Based on Magnetic Resonance Imaging Data.- A Revealed Imperfection in Concept Drift Correction in Metabolomics Modeling.- The Influence of Low-Intensity Pulsed Ultrasound (LIPUS) on the Properties of PLGA Biodegradable Polymer Coatings on Ti6Al7Nb Substrate.

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Book SynopsisThis edited book presents scientific results of the 20th IEEE/ACIS International Conference on Software Engineering Research, Management, and Applications (SERA2022) held on May 25, 2022, in Las Vegas, USA. The aim of this conference was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. Research results about all aspects (theory, applications and tools) of computer and information science and to discuss the practical challenges encountered along the way and the solutions adopted to solve them. The conference organizers selected the best papers from those papers accepted for presentation at the conference. The papers were chosen based on review scores submitted by members of the program committee and underwent further rigorous rounds of review. From this second round of review, 12 of the conference’s most promising papers are then published in this Springer (SCI) book and not the conference proceedings. We impatiently await the important contributions that we know these authors will bring to the field of computer and information science.Table of ContentsExamining the Factors that Influence Customers’ Intention to Use Smartwatches in Malaysia Using UTAUT2 Model.- Generating Adversarial Robust Defensive CAPTCHA (GARD-CAPTCHA) in Convolutional Neural Networks.- A Deep Learning Approach for Lantana Camara Weed Detection and Localization in the Natural Environment.- Modeling Concretizations in Software Design.- A Practical Style Guide and Templates Repository for Writing Effective Use Cases.- Label Correction of Sound Data with Label Noise Using Self Organizing Map.- Evaluation Method of Enterprise Cybersecurity.- A Multi-model Multi-task Learning System for Hurricane Genesis Prediction.- Development of Autonomous Driving Adaptive Simulation System Using Deep Learning Process Model.- An OCL Implementation for Model-Driven Engineering of C++.- Improving Students’ Readiness Toward the Labor Market Through Customized Learning.- Assessing Software Fault Risk with Machine Learning.

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Book SynopsisThis book presents recent research in intelligent and fuzzy techniques on digital transformation and the new normal, the state to which economies, societies, etc. settle following a crisis bringing us to a new environment. Digital transformation and the new normal-appearing in many areas such as digital economy, digital finance, digital government, digital health, and digital education are the main scope of this book. The readers can benefit from this book for preparing for a digital “new normal” and maintaining a leadership position among competitors in both manufacturing and service companies. Digitizing an industrial company is a challenging process, which involves rethinking established structures, processes, and steering mechanisms presented in this book. The intended readers are intelligent and fuzzy systems researchers, lecturers, M.Sc., and Ph.D. students studying digital transformation and new normal. The book covers fuzzy logic theory and applications, heuristics, and metaheuristics from optimization to machine learning, from quality management to risk management, making the book an excellent source for researchers.

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Book SynopsisThis book constitutes the refereed proceedings of the 20th International Conference on Artificial Intelligence in Medicine, AIME 2022, held in Halifax, NS, Canada, in June 2022. The 39 full papers presented together with 7 short papers were selected from 113 submissions. The papers are grouped in topical sections on knowledge-based system; machine learning; medical image processing; predictive modeling; natural language processing.Table of ContentsKnowledge-Based Systems Explainable Decision Support Using Task Network Models in Notation.- Computerizing Lipid Management Clinical Guidelines as Interactive Task Networks.- Towards an AI planning-based pipeline for the management of multimorbid patients.- A Knowledge Graph Completion Method Applied to Literature-Based Discovery for Predicting Missing Links Targeting Cancer Drug Repurposing.- Ontological Representation of Causal Relations for a Deep Understanding of Associations between Variables in Epidemiology.- Explainable Clinical Decision Support: Towards Patient-Facing Explanations for Education and Long-term Behavior Change.- Machine Learning Assessing Knee Biomechanical Osteoarthritis Severity and Biomechanical Changes After Total Knee Arthroplasty Using Self-Organizing Maps.- NeuralSympCheck: A Symptom Checking and Disease Diagnostic Neural Model with Extracting Surrogate Decision Trees from Black-box Models to Explain the Temporal Importance of Clinical Features in Predicting Kidney Graft Survival.- Recurrence and Self-Attention vs the Transformer for Time-Series Classification: A Comparative Study.- Integrating Graph Convolutional Neural Networks and Long Short-Term Memory for Efficient Diagnosis of Autism.- Hierarchical Deep Multi-task learning for Classification of Patient Diagnoses.- TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network.- Predicting Next Kidney Offer for Transplant Candidate Declining Current One.- Wrist Ultrasound Segmentation by Deep Learning.- Early Detection and Classification of Patient-Ventilator Asynchrony using Machine Learning.- On graph construction for classification of clinical trials protocols using Graph Neural Networks.- Medical Image Processing Malignant Mesothelioma Subtyping of Tissue Images via Sampling Driven Multiple Instance Prediction.- Calibrating Histopathology Image Classifiers using Label Smoothing.- InvUNET: Involuted UNET for Breast Tumor Segmentation from Ultrasound.- MRI reconstruction with LassoNet and compressed sensing.- Predictive Modeling A 3-window-based framework for the discovery of predictive functional dependencies from clinical data.- When can I expect the mHealth user to return? Prediction meets time series with gaps.- A novel survival analysis approach to predict the need for intubation in intensive care units.- Awareness of being tested and its effect on reading behaviour.- Natural Language Processing Generating extremely short summaries from the scientific literature to support decisions in primary healthcare: a human evaluation study.- A Russian Medical Language Understanding Benchmark.- Biomedical Semantic Textual Similarity: Evaluation of Sentence Representations Enhanced With Principal Component Reduction and Word Frequency Weighting.

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Book SynopsisThe book, “Intelligent Computing - Proceedings of the 2022 Computing Conference”, is a comprehensive collection of chapters focusing on the core areas of computing and their further applications in the real world. Each chapter is a paper presented at the Computing Conference 2022 held on July 14-15, 2022. Computing 2022 attracted a total of 498 submissions which underwent a double-blind peer-review process. Of those 498 submissions, 179 submissions have been selected to be included in this book. The goal of this conference is to give a platform to researchers with fundamental contributions and to be a premier venue for academic and industry practitioners to share new ideas and development experiences. We hope that readers find this book interesting and valuable as it provides the state-of-the-art intelligent methods and techniques for solving real-world problems. We also expect that the conference and its publications will be a trigger for further related research and technology improvements in this important subject. Table of ContentsWearable Internet of Things (IoT) Device Model Design based on Low-Cost Healthcare Monitoring System for Current Covid-19 Disease.- A Matching Mechanism for Provision of Housing to the Marginalized.- Speed Harmonisation Strategy for Human-Driven and Autonomous Vehicles Co-existence.- Road Intersection Coordination Scheme for Mixed Traffic (Human Driven and Driver-less Vehicles): A Systematic Review.- Selection of Driving Mode in Autonomous Vehicles based on Road Profile and Vehicle Speed.- Compass Errors in Mobile Augmented Reality Navigation Apps: Consequences and Implications.- Leveraging Zero Trust Security Strategy to Facilitate Compliance to Data Protection Regulations.- Perspectives from 50+ Years’ Practical Zero Trust Experience and Learnings on Buyer Expectations and Industry Promises.- Bit Error Rate Analysis of Pre-formed ReRAM-based PUF.

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Book SynopsisThis book provides an essential compilation of relevant and cutting edge academic and industry work on key Blockchain topics. This book concentrates on a wide range of advances related to Blockchains which include, among others, Blockchain principles, architecture and concepts with emphasis on key and innovative theories, methodologies, schemes and technologies of Blockchain, Blockchain platforms and architecture, Blockchain protocols, sensors and devices for Blockchain, Blockchain foundations, and reliability analysis of Blockchain-based systems. Further, it provides a glimpse of future directions where cybersecurity applications are headed. The book is a rich collection of carefully selected and reviewed manuscripts written by diverse cybersecurity application experts in the listed fields and edited by prominent cybersecurity applications researchers and specialists.Table of ContentsPart I: Blockchain Fundamentals1 Fundamentals of Blockchain Technology2 Identification of Illicit Blockchain Transactions Using Hyperparameters Auto-tuning3 Multidimensional Blockchain: Construction and Security Analysis 4 Blockchain Project Workflow Execution for Trustless Operations Part 2 Blockchains in Internet of Things and Mobile Phones 5 Protecting Location Privacy in Blockchain-based Mobile Internet of Things 6 A Blockchain Based Machine Learning Intrusion Detection System for Internet of Things 7 ECOM: Epoch Randomness-based Consensus Committee Configuration for IoT-Blockchains 8 Customer Outcome Framework for Blockchain-based Mobile Phone Applications Part 3 Blockchains and Healthcare 9 A Secure Decentralized Privacy-Preserving Healthcare System Using Blockchain 10 An Investigation of Blockchain Technology and Smart Contracts Deployment in Smart Medicine 4.0 Part 4 Blockchains and Currency 11 Post-Quantum Digital Signatures for Bitcoin 12 Cyber Laundering: Money Laundering from Fiat Money to Cryptocurrency Part 5 Blockchains in Education, Governance, Supply Chain, and Security 13 A Blockchain-based Fair and Transparent Homework Grading System for Online Education 14 Improving Supply Chain Management Performance with Blockchain Technology 15 Using Blockchain to Improve Corporate Governance 16 Blockchain Security as “People Security”: Applying Sociotechnical Security to Blockchain Technology

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

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Book SynopsisThis book provides practical guidance and awareness for a growing body of knowledge developing across a variety of disciplines. This initiative is a celebration of the Gavriel Salvendy International Symposium (GSIS) and provides a survey of topics and emerging areas of interest in human–automation interaction. This set of articles for the GSIS emphasizes a main thematic areas: mobile computing. Main areas of coverage include Section A: Health, Care and Assistive Technologies; Section B: Usability, User Experience and Design; Section C: Virtual Learning, Training and Collaboration; Section D: Ergonomics in Work, Automation and Production. In total, there are more than 600 pages emphasizing contributions from especially early career researchers that were featured as part of this (virtual) symposium and celebration. Gavriel Salvendy initiated the conferences that run annually as Human–Computer Interaction within LNCS of Springer and Applied Human Factors and Ergonomics International (AHFE). The book is inclusive of human–computer interaction and human factors and ergonomics principles, yet is intended to serve a much wider audience that has interest in automation and human modeling. The emerging need for human–automation interaction expertise has developed from an ever-growing availability and presence of automation in our everyday lives. This initiative is intended to provide practical guidance and awareness for a growing body of knowledge developing across a variety of disciplines and many countries. Table of ContentsDon’t Stand so Close to Me: Acceptance of delegating intimate health care tasks to assistive robots.- Designing a Voice Intelligent Agent: A Review and Appraisal.- Job crafting & re-design in a rapidly changing world of work: A bibliometric analysis & review.- Resilience Engineering and Safe Work Method Statements in Construction Projects.- Agent Transparency for Human-Autonomy Teaming.- Cuteness Engineering and UX Design.- Small screen-large information challenge for older adults: navigating through big pictures and menus of mobile phones.

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Book SynopsisArtificial intelligence (AI) and machine learning (ML) have transformed many standard and conventional methods in undertaking health and well-being issues of humans. AL/ML-based systems and tools play a critical role in this digital and big data era to address a variety of medical and healthcare problems, improving treatments and quality of care for patients. This edition on AI and ML for healthcare consists of two volumes. The first presents selected AI and ML studies on medical imaging and healthcare data analytics, while the second unveils emerging methodologies and trends in AI and ML for delivering better medical treatments and healthcare services in the future.In this first volume, progresses in AI and ML technologies for medical image, video, and signal processing as well as health information and data analytics are presented. These selected studies offer readers theoretical and practical knowledge and ideas pertaining to recent advances in AI and ML for effective and efficient image and data analytics, leading to state-of-the-art AI and ML technologies for advancing the healthcare sector.Table of ContentsAn Introduction to Artificial Intelligence in Healthcare.- Radiomics: Approach to Precision Medicine.- Artificial Intelligence Based Strategies for Data-Driven Radial MRI.

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Book SynopsisThis book constitutes the refereed proceedings of the 12th International Symposium on Foundations of Information and Knowledge Systems, FoIKS 2022, held in Helsinki, Finland, in June 2022. The 13 full papers presented were carefully reviewed and selected from 21 submissions. The papers address various topics such as information and knowledge systems, including submissions that apply ideas, theories or methods from specific disciplines to information and knowledge systems. Examples of such disciplines are discrete mathematics, logic and algebra, model theory, databases, information theory, complexity theory, algorithmics and computation, statistics and optimization.Table of ContentsOn Sampling Representatives of Relational Schemas with a Functional Dependency.- On the expressive power of message-passing neural networks as global feature map transformers.- Assumption-Based Argumentation for Extended Disjunctive Logic Programming.- A graph based semantics for Logical Functional Diagrams in power plant controllers.- Database Repair via Event-Condition-Action Rules in Dynamic Logic.- Statistics of RDF store for querying knowledge graphs.- Can you answer while you wait?.- The implication problem for functional dependencies and variants of marginal distribution equivalences.- Approximate Keys and Functional Dependencies in Incomplete Databases With Limited domains.- The Fault-Tolerant Cluster-Sending Problem.- Optimizing multiset relational algebra queries using weak-equivalent rewrite rules.- Properties of System W and its Relationships to Other Inductive Inference Operators.- Towards the Evaluation of Action Reversibility in STRIPS using Domain Generators.

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Book SynopsisThis book tackles the problems of engineering students and teachers while developing language skills through language education, transforming students’ mind-set through cultural studies, developing students’ intellectual abilities and personal qualities, and the use of information technologies in order to enhance the educational process. The International Conference Integration of Engineering Education and the Humanities: Global Intercultural Perspectives will take place 20–22 April 2022. It will be organized by Peter the Great Saint Petersburg Polytechnic University (Saint Petersburg, Russia) in collaboration with Research Centre Kairos (Tomsk, Russia). The event aims to raise discussions around a variety of aspects related to the integration of the humanities into engineering education.As such, the book will be of interest to the teachers, researchers and institutional leaders looking for the latest insights, experiences and research results on the topic.

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Book SynopsisThis book systemically presents the latest research findings in fuzzy RDF data modeling and management. Fuzziness widely exist in many data and knowledge intensive applications. With the increasing amount of metadata available, efficient and scalable management of massive semantic data with uncertainty is of crucial importance. This book goes to great depth concerning the fast-growing topic of technologies and approaches of modeling and managing fuzzy metadata with Resource Description Framework (RDF) format. Its major topics include representation of fuzzy RDF data, fuzzy RDF graph matching, query of fuzzy RDF data, and persistence of fuzzy RDF data in diverse databases. The objective of the book is to provide the state-of-the-art information to researchers, practitioners, and postgraduates students who work on the area of big data intelligence and at the same time serve as the uncertain data and knowledge engineering professional as a valuable real-world reference.Table of ContentsRDF Data and Management.- Fuzzy Sets and Fuzzy Database Modeling.- Fuzzy RDF Modeling.- Persistence of Fuzzy RDF and Fuzzy RDF Schema.- Fuzzy RDF Queries.

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Book SynopsisThis book discusses an integration of machine learning with metaheuristic techniques that provide more robust and efficient ways to address traditional optimization problems. Modern metaheuristic techniques, along with their main characteristics and recent applications in artificial intelligence, software engineering, data mining, planning and scheduling, logistics and supply chains, are discussed in this book and help global leaders in fast decision making by providing quality solutions to important problems in business, engineering, economics and science. Novel ways are also discovered to attack unsolved problems in software testing and machine learning. The discussion on foundations of optimization and algorithms leads beginners to apply current approaches to optimization problems. The discussed metaheuristic algorithms include genetic algorithms, simulated annealing, ant algorithms, bee algorithms and particle swarm optimization. New developments on metaheuristics attract researchers and practitioners to apply hybrid metaheuristics in real scenarios.Table of ContentsPerformance analysis of Heuristic optimization algorithms for Transportation problem.- Source Code Features Based Branch Coverage Prediction using Ensemble Technique.- Implicit Methods of Multi-Factor Authentication.- Comparative Analysis of different Classifiers Using Machine Learning Algorithm for Diabetes Mellitus.- Survey on Machine Learning Techniques for Software Reliability Accuracy Prediction.- Classification of Pest in Tomato Plants using CNN.- Deep Neural Network Approach For Identifying Good Answers in Community Platforms.- Time Series Analysis of SAR-Cov-2 virus in India using Facebook’s Prophet.- Model-Based Smoke Testing Approach of Service Oriented Architecture (SOA).- Role of Hybrid Evolutionary Approaches for Feature Selection in Classification: A Review.- Evaluation of Deep Learning Models for Detecting Breast Cancer using Mammograms.- Evaluation of Crop Yield Prediction using arsenal and Ensemble Machine learning algorithms.- Notification Based Multichannel MAC (NM-MAC) Protocol for Wireless Body Area Network.- A multi Brain Tumor Classification using a Deep Reinforcement Learning Model.- A Brief Analysis on Security in Healthcare Data using Blockchain.- A Review on Test Case Selection, Prioritization and Minimization in Regression Testing.- Artificial Intelligence Advancement in Pandemic Era.- Predictive technique for Identification of Diabetes using Machine Learning.- Prognosis of Prostate Cancer Using Machine Learning.- Sign language Detection Using Tensorflow Object Detection.- Automated Test Case Prioritization using Machine Learning.- A New Approach To Solve Linear Fuzzy Stochastic Differential Equation.- An Improved Software Reliability Prediction Model by Using Feature Selection and Extreme Learning Machine.- Signal Processing Approaches for Encoded Protein Sequences in Gynaecological Cancer Hotspot Prediction: A Review.- DepNet: Deep Neural Network based model for Estimating the Crowd Count.- Dynamic Stability enhancement of Power system by Sailfish Algorithm tuned fractional SSSC control action.- Application of Machine Learning Model Based Techniques for Prediction of Heart Diseases.- Software Effort and Duration Estimation using SVM and Logistic Regression.- A framework for ranking cloud services based on an integrated BWM-Entropy-TOPSIS Method.- An Efficient and Delay-Aware Path Construction Approach Using Mobile Sink in Wireless Sensor Network.- Application of Different Control Techniques of multi-area Power Systems.- Analysis of An Ensemble Model For Network Intrusion Detection.- D2D Resource Allocation for Joint Power Control in Heterogeneous Cellular Networks.- Prediction of Covid-19 Cases in Kerala based on meteorological parameters using BiLSTM Technique.

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Book SynopsisThis book provides a collection of recent research works on learning from decentralized data, transferring information from one domain to another, and addressing theoretical issues on improving the privacy and incentive factors of federated learning as well as its connection with transfer learning and reinforcement learning. Over the last few years, the machine learning community has become fascinated by federated and transfer learning. Transfer and federated learning have achieved great success and popularity in many different fields of application. The intended audience of this book is students and academics aiming to apply federated and transfer learning to solve different kinds of real-world problems, as well as scientists, researchers, and practitioners in AI industries, autonomous vehicles, and cyber-physical systems who wish to pursue new scientific innovations and update their knowledge on federated and transfer learning and their applications.Table of ContentsAn Introduction to Federated and Transfer Learning.- Federated Learning for Resource-Constrained IoT Devices: Panoramas and State of the Art.- Federated and Transfer Learning: A Survey on Adversaries and Defense Mechanisms.- Cross-silo Federated Neural Architecture Search for Heterogeneous and Cooperative Systems.- A Unifying Framework for Federated Learning.- A Contract Theory based Incentive Mechanism for Federated Learning.- A Study of Blockchain-based Federated Learning.- Swarm Meta Learning.- Rethinking Importance Weighting for Transfer Learning.- Transfer Learning via Representation Learning.- Modeling Individual Humans via a Secondary Task Transfer Learning Method.- From Theoretical to Practical Transfer Learning: The Adapt Library.- Lyapunov Robust Constrained-MDPs for Sim2Real Transfer Learning.- A Study on Efficient Reinforcement Learning Through Knowledge Transfer.- Federated Transfer Reinforcement Learning for Autonomous Driving.

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Book SynopsisBusiness shapes have been changed these days. Change is the main dominant fact that change the way of business operations running. Topics such as innovation, entrepreneurship, leadership, blockchain, mobile business, social media, e-learning, machine learning, and artificial intelligence become essential to be considered by each institution within the technology era. This book tries to give additional views on how technologies influence business and marketing operations for insuring successful institutions survival.The world needs to develop management and intelligent business scenario plans that suite a variety of crisis appears these days. Also, business and marketing intelligence should meet government priorities in individual countries and minimise the risk of business disruptions. Business intelligence - the strategies and technology companies that use it to collect, interpret, and benefit from data - play a key role in informing company strategies, functions, and efficiency. However, being essential to the success, many companies are not taking advantage of tools that can improve their business intelligence efforts. Information technology become a core stone in business. For example, the combination of machine learning and business intelligence can have a far-reaching impact on the insights the company gets from its available data to improve productivity, quality, customer service and more. This book is important because it introduces a large number of chapters that discussed the implications of different Information technology applications in business. This book contains a set of volumes which are: 1- Social Marketing and Social Media Applications, 2- Social Marketing and Social Media Applications, 3- Business and Data Analytics, 4- Corporate governance and performance, 5- Innovation, Entrepreneurship and leadership, 6- Knowledge management, 7- Machine learning, IOT, BIG DATA, Block Chain and AI, 8- Marketing Mix, Services and Branding.Table of ContentsAssessment of the Perception of Usage of Facebook as a Business Tool in SMEs through the Technological Acceptance Model (TAM) and Structural Equation Modeling.- Interdependencies and Integration of Smart Buildings and Smart Cities: A Case of Dubai.- Strategic leadership and its role on implementing public policies in the government departments in Karak Governorate.

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Book SynopsisThis book provides a collection of the state-of-the-art research attempts to tackle the challenges in image and signal processing from various novel and potential research perspectives. The book investigates feature extraction techniques, image enhancement methods, reconstruction models, object detection methods, recommendation models, deep and temporal feature analysis, intelligent decision support systems, and autonomous image detection models. In addition to this, the book also looks into the potential opportunities to monitor and control the global pandemic situations. Image processing technology has progressed significantly in recent years, and it has been commercialized worldwide to provide superior performance with enhanced computer/machine vision, video processing, and pattern recognition capabilities. Meanwhile, machine learning systems like CNN and CapsNet get popular to provide better model hierarchical relationships and attempts to more closely mimic biological neural organization. As machine learning systems prosper, image processing and machine learning techniques will be tightly intertwined and continuously promote each other in real-world settings. Adopting this trend, however, the image processing researchers are faced with few image reconstruction, analysis, and segmentation challenges. On the application side, the orientation of the image features and noise removal has become a huge burden.

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Book SynopsisThis book constitutes the refereed proceedings of the 19th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2022, held in Sant Cugat, Spain, during August - September 2022.The 16 papers presented in this volume were carefully reviewed and selected from 41 submissions. The papers discuss different facets of decision processes in a broad sense and present research in data science, machine learning, data privacy, aggregation functions, human decision-making, graphs and social networks, and recommendation and search. They were organized in topical sections as follows: Decision making and uncertainty; Data privacy; Machine Learning and data science.Table of Contents​Decision making and uncertainty.- Optimality Analysis for Stochastic LP Problems.- A Multi-Perceptual-Based Approach for Group Decision Aiding.- Probabilistic Judgement Aggregation by Opinion Update.- Semiring-valued fuzzy rough sets and colour segmentation.- Data privacy.- Bistochastic privacy.- Improvement of Estimate Distribution with Local Differential Privacy.- Geolocated Data Generation and Protection Using Generative Adversarial Net-works.- Machine Learning and data science.- A Strategic Approach based on AND-OR Recommendation Trees for Updating Obsolete Information.- Identification of Subjects Wearing a Surgical Mask from their Speech by means of x-vectors and Fisher Vectors.- Measuring Fairness in Machine Learning models via Counterfactual Examples.- Re-Calibrating Machine Learning Models using Confidence Interval Bounds.- An Analysis of Byzantine-Tolerant Aggregation Mechanisms on Model Poisoning in Federated Learning.- Effective Early Stopping of Point Cloud Neural Networks.- Representation and Interpretability of IE Integral Neural Networks.- Deep Attributed Graph Embeddings.- Estimation of Prediction Error with Regression Trees.

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Book SynopsisThis book presents recent advancements in Industry 4.0 and addresses how these can be useful in achieving sustainable solutions in Society 5.0. The book also serves as a reference for developing sustainable engineering solutions to various socio-economic and techno-commercial issues. The book is meticulously structured into two sections: Section I sheds light on fundamentals, nitty-gritties, and principles of technological innovations and advancement in artificial intelligence, cloud computing, industrial Internet of Things (IIOT), and Society 5.0, whereas Section II covers viable engineering solutions developments for revamping Industry 4.0 to Society 5.0. Overall, the authors aim to show how technological advancements can be used to address social issues and improve society.Table of ContentsIntroduction.- Sustainable computing in Healthcare.- IoT for Contemporary Life.- Artificial Intelligence in Multimedia Technology.- Artificial Intelligence in Security and Surveillance.- Artificial Intelligence in Big Data Analytics.- Engineering design for sustainable development using IOT/AI.- Intelligent and Smart Grid Systems.- Sustainable computing in Energy conservation.- Sustainable computing in Society 5.0.- Artificial Intelligence in Geo-Politics.- Cyber Physical System for Social Problems.- Artificial Intelligence and Machine Learning in Healthcare.- Open Challenges in Society 5.0.- Economic empowerment using AI/ML/IoT.- Machine Learning and Computing for Sustainable Development Goals.- Deep Learning for Society 5.0.- Intelligent and Smart Farming for Society 5.0.- Technological Innovation in Industry 4.0.- Artificial Intelligence in E-Governance.- Deep Learning in E-Governance.- Conclusion.

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Book SynopsisThis two-volume set of LNCS 13393 and LNCS 13394 constitutes - in conjunction with the volume LNAI 13395 - the refereed proceedings of the 18th International Conference on Intelligent Computing, ICIC 2022, held in Xi'an, China, in August 2022. The 209 full papers of the three proceedings volumes were carefully reviewed and selected from 449 submissions.This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was “Advanced Intelligent Computing Technology and Applications”. Papers focused on this theme were solicited, addressing theories, methodologies, and applications in science and technology.Table of ContentsEvolutionary Computing and Learning. Neural Networks.- Pattern Recognition.- Image Processing.- Information Security.- Biomedical Informatics Theory and Methods.- Biomedical Data Modeling and Mining.- Intelligent Computing in Computational Biology.- Computational Genomics and Biomarker Discovery.- Intelligent Computing in Drug Design.- Theoretical Computational Intelligence and Applications.- Fuzzy Theory and Algorithms.- Machine Learning and Data Mining.- Intelligent Computing in Computer Vision.- Intelligent Control and Automation.- Intelligent Data Analysis and Prediction.- Intelligent Computing and Optimization.

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Book SynopsisThis two-volume set of LNCS 13393 and LNCS 13394 constitutes - in conjunction with the volume LNAI 13395 - the refereed proceedings of the 18th International Conference on Intelligent Computing, ICIC 2022, held in Xi'an, China, in August 2022. The 209 full papers of the three proceedings volumes were carefully reviewed and selected from 449 submissions.This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was “Advanced Intelligent Computing Technology and Applications”. Papers focused on this theme were solicited, addressing theories, methodologies, and applications in science and technology.Table of ContentsEvolutionary Computing and Learning. Neural Networks.- Pattern Recognition.- Image Processing.- Information Security.- Biomedical Informatics Theory and Methods.- Biomedical Data Modeling and Mining.- Intelligent Computing in Computational Biology.- Computational Genomics and Biomarker Discovery.- Intelligent Computing in Drug Design.- Theoretical Computational Intelligence and Applications.- Fuzzy Theory and Algorithms.- Machine Learning and Data Mining.- Intelligent Computing in Computer Vision.- Intelligent Control and Automation.- Intelligent Data Analysis and Prediction.- Intelligent Computing and Optimization.

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Book SynopsisThe book provides an accessible overview of audio signal processing, and enables readers to design and write algorithms for the analysis, synthesis, and manipulation of musical and acoustic signals for any programming language. It provides an overview of highly interdisciplinary topics developed in a simple but rigorous way, and described in a unified and formal language which focuses on determining discrete-time audio signal models. Readers can find within a self-contained volume basic topics ranging over different disciplines: mechanical acoustics, physical systems and linear and nonlinear models, with lumped and distributed parameters; described and developed with the same level of mathematical formalism, easy to understand and oriented to the development of algorithms. Topics include the fundamental concepts of acoustic mechanics and vibration; the design of filters and equalizers for sound signals, the so-called audio effects, abstract methods of sound synthesis, and finally, methods of synthesis by physical modeling.Table of ContentsFoundations of Acoustics.- Discrete-Time Signals, Circuits and System Fundamentals.- Digital Filters for Audio Applications.- Multi-Rate Audio Processing and Wavelet Transform.- Special Transfer Functions for DASP.- Circuits and Algorithms for Physical Modeling.- Digital Audio Effects.- Sound Synthesis.- Physical Modeling.

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Book SynopsisThis book constitutes the refereed proceedings of the 6th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2022, held in Vienna, Austria during August 2022.The 23 full papers presented were carefully reviewed and selected from 45 submissions. The papers are covering a wide range from integrative machine learning approach, considering the importance of data science and visualization for the algorithmic pipeline with a strong emphasis on privacy, data protection, safety and security.Table of ContentsExplain to Not Forget: Defending Catastrophic Forgetting with XAI.- Approximation of SHAP values for Randomized Tree Ensembles.- Color shadows (part I): exploratory usability evaluation of activation maps in radiological machine learning.- Effects of Fairness and Explanation on Trust in Ethical AI.- Towards Refined Classifications driven by SHAP explanations.- Global Intepretable Calibration Index, a New Metric to Estimate Machine Learning Models' Calibration.- The ROC Diagonal is not Layperson’s Chance: a New Baseline Shows the Useful Area.- Debiasing MDI Feature Importance and SHAP values in Tree Ensembles.- The Influence of User Diversity on Motives and Barriers when Using Health Apps - A Conjoint Investigation of the Intention-Behavior Gap.- Identifying Fraud Rings Using Domain Aware Weighted Community Detection.- Capabilities, limitations and challenges of style transfer with CycleGANs: a study on automatic ring design generation.- Semantic Causal Abstraction for Event Prediction.- An Evaluation Study of Intrinsic Motivation Techniques applied to Reinforcement Learning over Hard Exploration Environments.- Towards Generating Financial Reports From Tabular Data Using Transformers.- Evaluating the performance of SOBEK text mining keyword extraction algorithm.- Classification of Screenshot Image Captured in Online Meeting System.- A survey on the application of virtual reality in event-related potential research.- Visualizing Large Collections of URLs Using the Hilbert Curve.- How to Reduce the Time Necessary for Evaluation of Tree-based Models.- An Empirical Analysis of and Guidelines for Synthetic-Data-based Anomaly Detection.- SECI Model in Data-Based Procedure for the Assessment of the Frailty State in Diabetic Patients.- Comparing machine learning correlations to domain experts’ causal knowledge: Employee turnover use case.- Machine learning and knowledge extraction to support work safety for smart forest operations.

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Book SynopsisWith the fast development of the Internet, we are experiencing a shift from the traditional sharing of information and applications as the main purpose of the Web to an emergent paradigm, which locates people at the very center of networks and exploits the value of people's connections, relations, and collaboration. Social networks are also playing a major role in the dynamics and structure of intelligent Web-based networking and collaborative systems. Virtual campuses, virtual communities, and organizations strongly leverage intelligent networking and collaborative systems by a great variety of formal and informal electronic relations, such as business-to-business, peer-to-peer, and many types of online collaborative learning interactions, including the emerging e-learning systems. This has resulted in entangled systems that need to be managed efficiently and in an autonomous way. In addition, latest and powerful technologies based on grid and wireless infrastructure as well as cloud computing are currently enhancing collaborative and networking applications a great deal but also facing new issues and challenges. The principal purpose of the research and development community is to stimulate research that will lead to the creation of responsive environments for networking and, at longer-term, the development of adaptive, secure, mobile, and intuitive intelligent systems for collaborative work and learning. The aim of the book “Advances on Intelligent Networking and Collaborative Systems” is to provide latest research findings, innovative research results, methods, and development techniques from both theoretical and practical perspectives related to intelligent social networks and collaborative systems, intelligent networking systems, mobile collaborative systems, secure intelligent cloud systems, and so on as well as to reveal synergies among various paradigms in such a multi-disciplinary field intelligent collaborative systems.

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