Artificial intelligence (AI) Books

Book SynopsisThis book constitutes the thoroughly refereed post-conference proceedings of the International Workshop on Coordination, Organizations, Institutions, and Norms for Governance of Multi-Agent Systems, COINE 2022, which was held in Auckland, New Zealand, on May 9, 2022.The 14 papers included in these proceedings were carefully reviewed and selected from 15 submissions. They deal with autonomous agents and multi-agent systems, focusing on the scientific and technological aspects of social coordination, organizational theory, artificial (electronic) institutions, and normative and ethical MAS.Table of ContentsDesigning International Humanitarian Law into Military Autonomous Devices.- Epistemic Diversity and Explanatory Adequacy in Distributed Information Processing.- The Complexity of Norm Synthesis and Revision.- Embracing AWKWARD! Real-Time Adjustment of Reactive Plans Using Social Norms.- Self-Learning Governance of Black-Box Multi-Agent Systems.- Computational Theory of Mind for Human-Agent Coordination.- Computational Discovery of Transaction-Based Financial Crime via Grammatical Evolution: The Case of Ponzi Schemes.- Centralized Norm Enforcement in Mixed-Motive Multiagent Reinforcement Learning.- Supporting the Reasoning about Environmental Consequences of Institutional Actions.- Social Motives and Social Contracts in Cooperative Survival Games.- Evaluating Human and Agent Task Allocators in Ad Hoc Human-Agent Teams.- Fleur: Social Values Orientation for Robust Norm Emergence.- Reasoning about Collective Action in Markov Logic: A Case Study from Classical Athens.- Design Heuristics for Ethical Online Institutions.

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Book SynopsisThis book constitutes the refereed proceedings of the 15th International Conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2022, held online on November 17–19, 2022.The 14 full papers and 5 short papers presented were carefully reviewed and selected from 42 submissions. Table of ContentsComputing Nash Equilibrium among Crops in Real World Agriculture Domain.- Evolutionary Feature Weighting Optimization and Majority Voting Ensemble Learning for Curriculum Recommendation in the Higher Education.- Fuzzy Soft Relations-Based Rough Soft Sets Classified by Overlaps of Successor Classes with Measurement Issues.- Helmet Detection System for Motorcycle Riders with Explainable Artificial Intelligence Using Convolutional Neural Network and Grad-CAM.- Hierarchical Human Activity Recognition based on Smartwatch Sensors using Branch Convolutional Neural Networks.- Improving Predictive Model to Prevent Students’ Dropout in Higher Education Using Majority Voting and Data Mining Techniques.- LCIM: Mining Low Cost High Utility Itemsets.- MaxFEM: Mining Maximal Frequent Episodes in Complex Event Sequences.- Method for Image-based Preliminary Assessment of Car Park for the Disabled and the Elderly using Convolutional Neural Networks and Transfer Learning.- Multi-resolution CNN for Lower Limb Movement Recognition based on Wearable Sensors.- News Feed: A Multiagent-based Push Notification System.- News Feed: A Multiagent-based Push Notification System.- Recognizing Driver Activities using Deep Learning Approaches based on Smartphone Sensors.- Sentence-Level Sentiment Analysis for Student Feedback Relevant to Teaching Process Assessment.- Sentiment Analysis of Local Tourism in Thailand from YouTube Comments by using BiLSTM.- Stable Coalitions of Buyers in Real World Agriculture Domain.- The Analysis of Explainable AI via Notion of Congruence.- Using Ensemble Machine Learning Methods to Forecast Particulate Matter (PM2.5) in Bangkok, Thailand.- Wearable Fall Detection Based on Motion Signals using Hybrid Deep Residual Neural Network.

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Book SynopsisThis book constitutes the refereed proceedings of the 51st Annual Conference of the Southern African Computer Lecturers' Association, SACLA 2022, held in Cape Town, South Africa, during July 21–22, 2022.The 10 full papers were included in this book were carefully reviewed and selected from 31 submissions. They were organized in topical sections as follows: ​curriculum; assessment; teaching in context; innovative teaching; and pandemic pedagogy.Table of Contents​Curriculum.- Relevant Cybersecurity: Curriculum Guidance for the South African context.- Experiences, motivations and plans of Humanities students pursuing a major in Information Systems in South Africa.- Assessment.- Towards an automated assistant for generating mathematics problems.- The Use of Binary Scales in Rubrics to Evaluate Computer Science Assessments.- Teaching in Context.- Guidelines for Introducing Learners to Computer Programming in a Developing Country.- First-Year Students’ IT Career Awareness.- Innovative Teaching.- Gamification to increase undergraduate students’ teamwork skills.- Nested-Decider: An animation program for aiding teaching and learning of decisions/nested decisions.- Pandemic Pedagogy.- Student experiences with blended learning at a South African University during the pandemic.- “I feel like I am teaching myself”: An Exploratory Study of the Factors andImplications of Online Learning.

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Book SynopsisThis book constitutes the refereed proceedings of the 10th International Conference on Bioinspired Optimization Methods and Their Applications, BIOMA 2022, held in Maribor, Slovenia, in November 2022.The 19 full papers presented in this book were carefully reviewed and selected from 23 submissions.The papers in this BIOMA proceedings specialized in bioinspired algorithms as a means for solving the optimization problems and came in two categories: theoretical studies and methodology advancements on the one hand, and algorithm adjustments and their applications on the other.Table of ContentsAn agent-based model to investigate different behaviours in a crowd simulation.- Accelerating Evolutionary Neural Architecture Search for Remaining Useful Life Prediction.- ACOCaRS: Ant Colony Optimization Algorithm for Traveling Car Renter Problem.- A new type of anomaly detection problem in dynamic graphs: An ant colony optimization approach.- CSS- A Cheap-Surrogate-based Selection Operator for Multi-objective Optimization.- Empirical Similarity Measure for Metaheuristics.- Evaluation of Parallel Hierarchical Differential Evolution for Min-Max Optimization Problems Using SciPy.- Explaining Differential Evolution Performance Through Problem Landscape Characteristics.- Genetic improvement of TCP congestion avoidance.- Hybrid Acquisition Processes in Surrogate-based Optimization. Application to Covid-19 Contact Reduction.- Investigating the Impact of Independent Rule Fitnesses in a Learning Classifier System.- Modified Football Game Algorithm for Multimodal Optimization of Test Task Scheduling Problems Using Normalized Factor Random Key Encoding Scheme.- Performance Analysis of Selected Evolutionary Algorithms.- Refining Mutation Variants in Cartesian Genetic Programming.- Slime mould algorithm: An experimental study of nature-inspired optimizer.- SMOTE inspired extension for differential evolution.- The Influence of Local Search over Genetic Algorithms with Balanced Representations.- Trade-off of networks on weighted space analyzed via a method mimicking human walking track superposition.- Towards interpretable policies in multi-agent reinforcement learning tasksb.

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Book SynopsisThis book constitutes selected papers presented at the First International Scientific and Practical Conference on Information Technologies and Intelligent Decision Making Systems, ITIDMS 2021, held as Virtual Event in January, 2021.The 13 presented papers were thoroughly reviewed and selected from the 41 submissions. The conference was held with the aim of summarizing international experience in the field of information, digital and intellectual development, within which proposals were formulated for digital and information transformation, the development of computer models, information technologies, automated and computing processes. A distinctive feature of the conference is that it presented reports of authors from China, Uzbekistan, Lebanon, Poland, Kazakhstan, Bulgaria and Russia. Researchers from different countries presented the process of transition of the information and digital path of development, presented the main directions and developments that can improve the efficiency and development.Table of ContentsAnalysis of Domain Name Resolution Strategy of Local DNS Server in the Transition from IPv4 to IPv6.- Experimental Evaluation of the Efficiency of Compression of Files by Fractal-Spectral Codec.- An Intelligent Decision Support System for Solving Complex Territorial Planning Problems.- Fault tolerance of distributed worker processes in corporate information systems and technologies.- Functioning of the Thermal Memory Cell.- Using Data mining technology in monitoring and modeling the epidemiological situation of the human immunodeficiency virus in Kazakhstan.- Information Technology and Artificial Intelligence in Improving of Center Pivot Irrigation Control.- KOA Pathology Screening using Multi-channel VAG Signal Fusion Method.- Prioritization of Distributed Worker Processes Based on Etcd Locks.- Analysis of Methods for Classifying and Segmenting 3D Images.- Tone Image Processing with Discrete Data Structure.- The Concept of Client-Server Architecture for Remote Control of a Distributed Knowledge Base.- Experimental Study of Russian-language News Text Categorization Performance Using Machine Learning Algorithms.

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Book SynopsisThis book constitutes the proceedings of the 4th Iberoamerican Conference and third Indo-American Conference on Knowledge Graphs and Semantic Web, KGSWC 2022, which took place in Madrid, Spain, in November 2022.The 22 full and 3 short research papers presented in this volume were carefully reviewed and selected from 63 submissions. The papers cover topics related to software and its engineering, software creation and management, Emerging technologies, Analysis and design of emerging devices and systems, Emerging tools and methodologies and others.Table of ContentsDBkWik++ - Multi Source Matching of Knowledge Graphs.- A Survey on Knowledge Graph-based Methods for Automated Driving.- Physicians’ Brain Digital Twin: Holistic Clinical & Biomedical Knowledge Graphs for Patient Safety and Value-Based Care to Prevent The Post-pandemic Healthcare Ecosystem Crisis.- Combining Ontology and Natural Language Processing methods for Prevention of Falls from Height.- Learning to Automatically Generating Genre-Specific Song Lyrics: A Comparative Study.- DLIME-Graphs: A DLIME Extension based on Triple Embedding for Graphs.- Edge-labelled graphs and property graphs - to the user, more similar than different.- Knowledge Graph supported machine parameterization for the injection moulding industry.- IPR: Integrative Policy Recommendation Framework based on Hybrid Semantics.- Convolutional Neural Networks applied to emotion analysis in texts: Experimentation from the Mexican context.- Proficient Annotation Recommendation in a Biomedical Content Authoring Environment.- DKMI: Diversification of Web Image Search using Knowledge Centric Machine Intelligence.- Does Wikidata Support Analogical Reasoning?.- Flexible Queries over Knowledge Graphs.- Knowledge Graphs for Community Detection in Textual Data.- Framework for Author Name Disambiguation in Scientific Papers Using an Ontological Approach and Deep Learning.- On contrasting and completing YAGO with GPT language models: an experiment for person-related attributes.- Easy and complex: new perspectives for metadata modeling using RDF-star and Named Graphs.- Multi-Aspect Sentiment Analysis using Domain Ontologies.- Popularity Driven Data Integration.- Methodology for Creating a Community Corpus using a Wikibase Knowledge Graph.- Understanding Human Activity Patterns in Smart Homes with Process Mining.- String Matching based Framework for Online Hindi Question Answering System.- Towards an ontological approach to business continuity assessment.- From Ontology to Knowledge Graph Trend: Ontology As Foundation Layer For Knowledge Graph.

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Book SynopsisThis book constitutes the refereed proceedings of the 5th International Conference on Optimization and Learning, OLA 2022, which took place in Syracuse, Sicilia, Italy, in July 2022. The 19 full papers presented in this volume were carefully reviewed and selected from 52 submissions. The papers are organized in the following topical sections: Optimization and Learning; Novel Optimization Techniques; Logistics; and Applications.Table of ContentsOptimization and Learning.- Evolutionary-Based Co-Optimization of DNN and Hardware Configurations on Edge GPU.- Maximum Information Coverage and Monitoring Path Planning With Unmanned Surface Vehicles Using Deep Reinforcement Learning.- Tuning ForestDisc hyperparameters: A sensitivity analysis.- Multi-objective hyperparameter optimization with performance uncertainty.- Novel Optimization Techniques.- A new algorithm for bi-objective problems based on gradient information.- Adaptive Continuous Multi-Objective Optimization using Cooperative Agents.- Integer Linear Programming reformulations for the linear ordering problem.- SHAMan: a versatile auto-tuning framework for costly and noisy HPC systems.- Cooperation-based search of global optima.- Date-driven Simulation-Optimization (DSO): An Efficient Approach to Optimize Simulation Models with Databases.- Logistics.- Sweep Algorithms for the Vehicle Routing Problem with TimeWindows.- Improving the accuracy of vehicle routing problem approximation using the formula for the average distance between a point and a rectangular area.- Optimal Delivery Area Assignment for the Capital Vehicle Routing Problem Based on a Maximum Likelihood Approach.- Neural Order-First Split-Second Algorithm for the Capacitated Vehicle Routing Problem.- Applications.- GRASP-based hybrid search to solve the multi-objective requirements selection problem.- Comparing Parallel Surrogate-based and Surrogate-free Multi-Objective Optimization of COVID-19 vaccines allocation.- Decentralizing and Optimizing Nation-Wide Employee Allocation while Simultaneously Maximizing Employee Satisfaction.- Categorical-Continuous Bayesian optimization applied to chemical reactions.- Assessing Similarity-Based Grammar-Guided Genetic Programming Approaches for Program Synthesis.

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Book SynopsisThis book constitutes thoroughly refereed and revised selected papers from the 10th Iberoamerican Conference on Applications and Usability of Interactive TV, jAUTI 2021, held in Sangolqui, Ecuador, during December 2–3, 2021.The 9 full papers included in this book were carefully reviewed and selected from 25 submissions. They were organized in topical sections as follows: ​Usability and UX; interaction techniques and accesibility; and technologies, services, and applications for interactive digital TV.Table of Contents​Usability and UX.- The importance of personalization and household dynamics for notifications in the TV ecosystem.- Connect elderly to other generations through iTV: evaluating notifications’ potential.- Interaction techniques and Accesibility.- Real-time emotion recognition through video conference and streaming.- Emotional Meta-Annotation of Educational Videos. A Review of Emotional Database Characterization.- Active and Healthy Aging: The Role of a Proactive Information Assistant Embedded on TV.- Design and development of an assisted ball positioning system for soccer matches with an HBBTV server integrated to a haptic TV glove accessible to visually impaired people.- Technologies, services, and applications for interactive digital TV.- MixMyVisit – Geração automática de vídeos para a melhoria da experiência dos visitantes.- Selection of configurable computer module applied to home automation and interactive digital television.- A Process for gathering data to train the NLU module of a NLI system for iTV.

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Book SynopsisThis book constitutes the refereed proceedings of the Third Southern African Conference on Artificial Intelligence Research, SACAIR 2022, held in Stellenbosch, South Africa, in December 2022. The 26 papers presented were thoroughly reviewed and selected from the 73 submissions. They are organized on the topical sections on​ algorithmic, data driven and symbolic AI; socio-technical and human-centered AI; responsible and ethical AI. Table of ContentsAlgorithmic, Data Driven and Symbolic AI.- Socio-technical and human-centered AI.- Responsible and Ethical AI.

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Book SynopsisThis book constitutes the refereed proceedings of the 17th Ibero-American Conference on Artificial Intelligence, IBERAMIA 2022, held in Cartagena de Indias, Colombia, in November 2022. The 33 full and 4 short papers presented were carefully reviewed and selected from 67 submissions. The papers are organized in the following topical sections: applications of AI; ethics and smart city; green and sustainable AI; machine learning; natural language processing; robotics and computer vision; simulation and forecasting.Table of ContentsApplications of AI.- Ethics and Smart City.- Green and Sustainable AI.- Machine Learning.- Natural Language Processing.- Robotics and Computer Vision.- Simulation and Forecasting.

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Book SynopsisThis book constitutes the refereed proceedings of the 13th International Conference on Advances in Optimization and Applications, OPTIMA 2022, held in Petrovac, Montenegro, during September 26–30, 2022. The 13 full papers included in this book were carefully reviewed and selected from 26 submissions. They were organized in topical sections as follows: ​mathematical programming; global optimization; discrete and combinatorial optimization; optimization and data analysis; game theory and mathematical economics; and applications.Table of Contents​Mathematical Programming.- A Derivative-Free Nonlinear Least Squares Solver.- Gradient-Type Methods for Optimization Problems with Polyak- Lojasiewicz Condition: Early Stopping and Adaptivity to Inexactness Parameter.- Global Optimization.- An Improved Genetic Algorithm for the Resource-Constrained Project Scheduling Problem.- Nonlocal Optimization Methods for Nonlinear Controlled Systems with Terminal Constraints.- Discrete and Combinatorial Optimization.- Three-Bar Charts Packing Problem.- An 11/7 – Approximation Algorithm for Single Machine Scheduling Problem with Release and Delivery Times.- Optimization and Data Analysis.- Decentralized Strongly-Convex Optimization with Affine Constraints: Primal and Dual Approaches.- Game Theory and Mathematical Economics.- Analysis of the Model of Optimal Expansion of a Firm.- Comparative Analysis of the Efficiency of Financing the State Budget through Emissions, Taxes and Public Debt.- Applications.- Construction of Optimal Feedback for Zooplankton Diel Vertical Migration.- Synthesis of Trajectory Planning Algorithms Using Evolutionary Optimization Algorithms.- Application of Attention Technique for Digital Pre-Distortion.- Forecasting with Using Quasilinear Recurrence Equation.

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Book SynopsisThis volume constitutes short papers and DETECT 2022 workshop papers, presented during the 11th International Conference on Model and Data Engineering, MEDI 2022, held in Cairo, Egypt, in November 2022.The 11 short papers presented were selected from the total of 65 submissions. This volume also contains the 4 accepted papers from the DETECT 2022 workshop, held at MEDI 2022. The volume focuses on advances in data management and modelling, including topics such as data models, data processing, database theory, database systems technology, and advanced database applications.Table of ContentsImage processing and diagnosis.- Machine Learning and Optimization.- Machine Learning and Optimization.- Modelling.- Database systems.- Applications.- DETECT Workshop: modeling, verification and testing of dependable critical systems.

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Book SynopsisThis book constitutes the proceedings of the 18th International Symposium on Bioinformatics Research and Applications, ISBRA 2022, held in Haifa, Israel, in November 14–17, 2022.The 30 full papers and 4 short papers presented in this book were carefully reviewed and selected from 72 submissions. They were organized in topical sections named: AI and disease; computational proteomics; biomedical imaging; drug screening and drug-drug interaction prediction; Biomedical data; sequencing data analysis.Table of ContentsMLMVFE: A Machine Learning Approach Based on Muli-View Features Extraction for Drug-Disease Associations Prediction.- STgcor: A Distribution-based Correlation MeasurementMethod for Spatial Transcriptome Data.- Automatic ICD Coding based on Multi-granularity Feature Fusion.- Effectively Training MRI Reconstruction Network via Sequentially Using Undersampled k-Space Data with Very Low Frequency Gaps.- Fusing Label Relations for Chinese EMR Named Entity Recognition with Machine Reading Comprehension.- Private Epigenetic PaceMaker Detector using Homomorphic Encryption - Extended Abstract.- NIDN: Medical Code Assignment via Note-Code Interaction Denoising Network.- Research on the prediction method of disease classification based on imaging features.- M-US-EMRs: A Multi-Modal Data Fusion Method of Ultrasonic Images and Electronic Medical Records Used for Screening of Coronary Heart Disease.- Transposition Distance Considering Intergenic Regions for Unbalanced Genomes.- An SMT-based Framework for Reasoning about Discrete Biological Models.- ARGLRR: An Adjusted Random Walk Graph Regularization Sparse Low-rank Representation Method for Single-cell RNA-sequencing Data Clustering.- An Efficient and User-friendly Software for PCR Primer Design for Detection of Highly Variable Bacteria.- A Network-Based Voting Method for Identification and Prioritization of Personalized Cancer Driver Genes.- TDCOSR: A multimodality fusion framework for association analysis between genes and ROIs of Alzheimer’s disease.- Policy-based Hypertension Monitoring using Formal Runtime Verification Monitors.- Deep learning-enhanced MHC-II presentation prediction and peptidome deconvolution.- MMLN: Leveraging Domain Knowledge for Multimodal Diagnosis.- Optimal sequence alignment to ED-strings.- Heterogeneous PPI network representation learning for protein complex identification.- A Clonal Evolution Simulator for Planning Somatic Evolution Studies.- Prediction of Drug-disease Relationship on Heterogeneous Networks Based on Graph Convolution.- t-SNE Highlights Phylogenetic and Temporal Patterns of SARS-CoV-2 Spike and Nucleocapsid Protein Evolution.- MPCDDI: A Secure Multiparty Computation-based Deep Learning Framework for Drug-drug Interaction Predictions.- A Multimodal Data Fusion-based Deep Learning Approach for Drug-Drug Interaction Prediction.- GNN-Dom: an unsupervised method for protein domain partition via protein contact map.- A Locality-Constrained Linear Coding-Based Ensemble Learning Framework for Predicting Potentially Disease-Associated MiRNAs.- Gaussian-enhanced Representation Model for Extracting Protein-Protein Interactions Affected by Mutations.- Distance Profiles of Optimal RNA Foldings.- 2D Photogrammetry Image of Adolescent Idiopathic Scoliosis Screening Using Deep Learning.- EMRShareChain: A Privacy-Preserving EMR Sharing System Model Based on the Consortium Blockchain.- Simulating Spiking Neural Networks based on SW26010pro.- Entropy Based Clustering of Viral Sequences.- A Tensor Robust Model Based on Enhanced Tensor Nuclear Norm and Low-Rank Constraint for Multi-view Cancer Genomics Data.

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Book Synopsis​This book constitutes the refereed proceedings of the 11th Conference on Artificial Intelligence and Natural Language, AINL 2022, held in St. Petersburg, Russia, in April 2022. The 8 revised full papers and 1 short paper were carefully reviewed and selected from 20 submissions. The volume presents recent research in areas of of text mining, speech technologies, dialogue systems, information retrieval, machine learning, articial intelligence, and robotics. Table of ContentsInferring image background from text description.- Topical Extractive Summarization.- The Semantic Shifts of the Topical Structure in the Corpus of Lentach News Posts.- Development of folklore motif classifie using limited data.- Morphological and Emotional Features of the Speech in Children with Typical Development, Autism Spectrum Disorders and Down Syndrome.- WikiMulti: a Corpus for Cross-Lingual Summarization.- Rethinking Crowd Sourcing for Semantic Similarity.- Interplay of Visual and Acoustic Cues of Irony Perception: a Case Study of Actor’s Speech.- Findings of Biomedical Russian to English Machine Translation Competition.- Translation of medical texts with ensembling and knowledge distillation.

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Book SynopsisThis book constitutes the proceedings of the 15th Italian Workshop on Artificial Life and Evolutionary Computation, WIVACE 2021, held in Winterthur, Switzerland, in September 2022. The 14 full papers and 10 short papers presented in this volume were carefully reviewed and selected from 25 submissions. The papers are organized in the following topical sections: Networks; Droplets, Fluids, and Synthetic Biology; Robot Systems; Computer Vision and Computational Creativity; Semantic Search; Artificial Medicine and Pharmacy; Trade and Finance; Ethics in Computational Modelling.Chapters 4, 5, 6, 7, 22, and 24 are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.Table of Contents​Networks.- Dynamical criticality in growing networks.- Effective Resistance based Weight Thresholding for Community Detection.- An Oracle for the Optimization of Underconstrained Compositions of Neural Networks - The Tick Hazard Use Case.- Droplets, Fluids, and Synthetic Biology.- Obstacles on the Pathway towards Chemical Programmability using Agglomerations of Droplets.- The Good, the Bad and the Ugly: droplet recognition by a "shootout"-heuristics.- Exploring the three-dimensional arrangement of droplets.- Geometric restrictions to the agglomeration of spherical particles.- Effectiveness of Dynamic Load Balancing in Parallel Execution of a Subsurface Flow Cellular Automata Model.- Two possible AI-related paths for bottom-up synthetic cell research.- Robot Systems.- A hybrid control system architecture for a mobile robot to provide an energy-efficient and fast data processing.- On the evolution of mechanisms for collective decision making in a swarm of robots.- A novel online adaptation mechanism in artificial systems provides phenotypic plasticity.- Computer Vision and Computational Creativity.- Exploration of Genetic Algorithms and CNN for Melanoma Classification.- Using Genetic Algorithms to optimize a deep learning based system for the prediction of cognitive impairments.- Autonomous inspections of power towers with an UAV.- Self-organizing Maps of Artificial Neural Classifiers - a Brain like Pin Factory.- Evolutionary Music: Statistical Learning and Novelty for automatic improvisation.- Semantic Search.- ARISE: Artificial Intelligence Semantic Search Engine.- Artificial Medicine and Pharmacy.- Influence of the Antigen Pattern Vector on the Dynamics in a Perceptron-based Artificial Immune - Tumour-Ecosystem during and after Radiation Therapy.- Two-level detection of dynamic organization in cancer evolution models.- Artificial chemical neural network for drug discovery applications.- Trade and Finance.- Information Flow Simulations in Multi-Dimensional and Dynamic Systems.- Investigation of the Ramsey-Pierce-Bowman Model.- Ethics in Computational Modelling.- Ethical Aspects of Computational Modelling in Science, Decision Support and Communication.

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Book SynopsisThis book constitutes selected and revised papers from the 22nd International Conference on Mathematical Modeling and Supercomputer Technologies, MMST 2022, held in Nizhny Novgorod, Russia, in November 2022. The 20 full papers and 5 short papers presented in the volume were thoroughly reviewed and selected from the 48 submissions. They are organized in topical secions on ​computational methods for mathematical models analysis; computation in optimization and optimal control; supercomputer simulation. Table of ContentsComputational methods for mathematical models analysis.- Computation in optimization and optimal control.- Supercomputer simulation.

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Book SynopsisThis book constitutes the refereed conference proceedings of the 5th EAI International Conference on Emerging Technologies in Computing, iCETiC 2022, held in Chester, UK, August 15-16, 2022. The 16 full papers included in this book were carefully reviewed and selected from 54 submissions. They were organized in topical sections as follows: Cloud, IoT and Distributed Computing; and AI, Expert Systems and Big Data Analytics.Table of ContentsCloud, IoT and Distributed Computing.- An evaluation of the correlation between task characteristics and input data size in scientific workflows.- Evaluation of Semantic Interoperability of Automotive Service API Models based on Metamodels Similarity Metrics using a Semi-Automated Approach.- BCoT-based Smart Manufacturing: An Enhanced Precise Measurement Management System.- Investigation of the Digitalisation Process of Traditional Businesses and its Concept for Retail.- Data Integrity for Dynamic Big Data in Cloud Storage: A comprehensive review and critical issues.- AI, Expert Systems and Big Data Analytics.- A Review of Optical Character Recognition (OCR) Techniques on Bengali Scripts.- Traffic sign detection and recognition system using improved YOLOV5s.- Prediction of the Arbutus unedo colonization time via an agent-based distribution model.- Stock Price Prediction Using Semi-supervised Ridge Regression.- Accessibility of Multimedia Resources from Irish Universities for People With Epilepsy.

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Book SynopsisThis book constitutes the refereed post-conference proceedings of the EAI International Conference on Internet of Everything, IoECon 2022, which took place in Guimarães, Portugal in September 16-17 2022. IoECon 2022 presents IoE paradigms to their whole dimension, intelligently connecting devices, people, processes, data, and things. IoE is multi-disciplinary and offers an opportunity to explore the co-relations between different areas, techniques, and theories about a new cyber world.The 10 revised full papers were carefully reviewed and selected from 26 submissions. The papers focus on a complete ecosystem that digitally interconnects everything, including people-to-people, people-to-machines, and machines-to-machines.Table of Contents​People-to-People.- Perspectives on the Internet of Everything.- Guidelines to Develop Consumers Cyber Resilience Capabilities in The IoE Ecosystem.- A competency definition based on the knowledge, skills, and human dispositions constructs.- The influence of the image and photography of E-Commerce products on the purchase decision of online consumers.- People-to-Machine and Machine-to-People.- The Man-Machine Relationship on the Web: Motivation to Use the Internet.- Cybersecurity Challenges in Healthcare Medical Devices.- A WSN real-time monitoring system approach for measuring Indoor Air Quality using the Internet of Things.- Scalability of IoT Systems: Do Execution Costs Predict the Quality of Service?.- Machine-to-Machine.- Transient Session Key Derivation Protocol for Key Escrow Prevention in Public Key Infrastructure.- Evaluating CoAP, OSCORE, DTLS and HTTPS for Secure Device Communication.

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Book SynopsisThis volume constitutes the papers of several workshops which were held in conjunction with the ICWE 2022 International Workshops, BECS, SWEET and WALS, held in Bari, Italy, July 5–8, 2022.The 14 revised full papers and 1 short paper presented in this book were carefully reviewed and selected from 25 submissions. ICWE 2022 presents the following three workshops:Second International Workshop on Big Data driven Edge Cloud Services (BECS 2022)First International Workshop on the Semantic WEb of Everything (SWEET 2022)First International Workshop on Web Applications for Life Sciences (WALS 2022)Table of ContentsSecond International Workshop on Big Data driven Edge Cloud Services (BECS 2022)).-CodeBERT Based Software Defect Prediction for Edge-Cloud Systems.- A Novel Hybrid Approach for Localization in Wireless Sensor Networks.- An Empirical Analysis on Just-In-Time Defect prediction Models for Self-driving Software Systems.- Knowledge Sharing in Proactive WoT Multi-Environment Models.- First International Workshop on the Semantic WEb of Everything (SWEET 2022).- Multivariate Time Series Anomaly Detection Based on Reconstructed Differences Using Graph Attention Networks.- A Decentralized Environment for Biomedical Semantic Content Authoring and Publishing.- AI for Food Waste Reduction in Smart Homes.- Cowl: a lightweight OWL library for the Semantic Web of Everything.- Features and capabilities of a blockchain-based ridesharing enhanced with semantics.- Semantic-based decision support for network management and orchestration.- Semantic Matchmaking for Argumentative Intelligence in Ubiquitous Computing.- First International Workshop on Web Applications for Life Sciences (WALS 2022).- Smart District 4.0 project: validation of results and exploitation perspectives.- WALS 2022 Invited Talk - Are web applications fulfilling the needs of life science scientists?.- CitrusGenome: A Bioinformatics Tool to Characterize, Visualize, and Explore Large Citrus Variant Datasets.- The Laniakea Dashboard and storage encryption components: a foundation for developing on-demand cloud services for Life Science.

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Book SynopsisThis book constitutes the refereed proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2021, held as a virtual event, February 8–10, 2021.The 16 full papers presented in this volume were carefully reviewed and selected from 371 submissions. The purpose of VISIGRAPP is to bring together researchers and practitioners interested in both theoretical advances and applications of computer vision, computer graphics and information visualization. VISIGRAPP is composed of four co-located conferences, each specialized in at least one of the aforementioned main knowledge areas, namely GRAPP, IVAPP, HUCAPP and VISAPP. The contributions were organized in topical sections as follows: Computer Graphics Theory and Applications; Human Computer Interaction Theory and Applications; Information Visualization Theory and Applications; Computer Vision Theory and Applications.Table of Contents​Computer Graphics Theory and Applications.- Impact of Avatar Representation in a Virtual Reality-based Multi-user Tunnel Fire Simulator for Training Purposes.- Facade Layout Completion with Long Short-term Memory Networks.- Human Computer Interaction Theory and Applications.- Generating Haptic Sensations over Spherical Surface.- Effects of Emotion-Induction Words on Memory and Pupillary Reactions while Viewing Visual Stimuli with Audio Guide.- A Bimanual Flick-based Japanese Software Keyboard using Direct Kanji Input.- Comparison of Cardiac Activity and Subjective Measures during Virtual Reality and Real Aircraft Flight.- Information Visualization Theory and Applications.- Improving Self-supervised Dimensionality Reduction: Exploring Hyperparameters and Pseudo-labeling Strategies.- Visualization of Source Code Similarity using 2.5D Semantic Software Maps.- Revisiting Order-Preserving, Gap-Avoiding Rectangle Packing.- Exploratory Data Analysis of Population Level Smartphone-sensed Data.- Towards Interactive Geovisualization Authoring Toolkit for Industry Use Cases.- Computer Vision Theory and Applications.- Global-fiirst Training Strategy with Convolutional Neural Networks to Improve Scale Invariance.- Spline-based Dense Medial Descriptors for Image Simplification using Saliency Maps.- BS-GAENets: Brain-spatial Feature Learning Via a Graph Deep Autoencoder for Multi-modal Neuroimaging Analysis.- Enhancing Backlight and Spotlight Images by the Retinex-inspired Bilateral Filter SuPeR-B.- Rethinking RNN-based Video Object Segmentation.

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Book SynopsisThis book constitutes the refereed proceedings and revised selected papers from the ESORICS 2022 International Workshops on Data Privacy Management, Cryptocurrencies and Blockchain Technology, DPM 2022 and CBT 2022, which took place in Copenhagen, Denmark, during September 26–30, 2022.For DPM 2022, 10 full papers out of 21 submissions have been accepted for inclusion in this book. They were organized in topical sections as follows: differential privacy and data analysis; regulation, artificial intelligence, and formal verification; and leakage quantification and applications. The CBT 2022 workshop accepted 7 full papers and 3 short papers from 18 submissions. The papers were organized in the following topical sections: Bitcoin, lightning network and scalability; and anonymity, fault tolerance and governance; and short papers.Table of ContentsDPM Workshop: Differential Privacy and Data Analysis.- Enhancing Privacy in Federated Learning with Local Differential Privacy for Email Classification.- Towards Measuring Fairness for Local Differential Privacy.- Privacy-Preserving Link Prediction.- DPM Workshop: Regulation, Artificial Intelligence, and Formal Verification.- An Email a Day Could Give Your Health Data Away.- Explanation of Black Box AI for GDPR related Privacy using Isabelle.- Secure Internet Exams Despite Coercion.- DPM Workshop: Leakage Quantification and Applications.- Privacy with Good Taste: A Case Study in Quantifying Privacy Risks in Genetic Scores.- A Parallel Privacy Preserving Shortest Path Protocol from a Path Algebra Problem.- A blockchain-based architecture to manage user privacy preferences on smart shared spaces privately.- No salvation from trackers: Privacy analysis of religious websites and mobile apps.- CBT Workshop: Bitcoin, Lightning Network and Scalability.- An empirical analysis of running a Bitcoin minimal wallet on an IoT device 160.- The Ticket Price Matters in Sharding Blockchain.- On the Routing Convergence Delay in the Lightning Network.- LightSwap: An Atomic Swap Does Not Require Timeouts At Both Blockchains.- CBT Workshop: Anonymity, Fault Tolerance and Governance.- Preserving Buyer-Privacy in Decentralized Supply Chain Marketplaces.- Grape: Efficient Hybrid Consensus Protocol Using DAG.- A Game-Theoretic Analysis of Delegation Incentives in Blockchain Governance.- CBT Workshop: Short Papers.- A Limitlessly Scalable Transaction System.- Migrating Blockchains Away From ECDSA for Post-Quantum Security: A Study of Impact on Users and Applications.- Verifiable External Blockchain Calls: Towards Removing Oracle Input Intermediaries.

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Book SynopsisThe multi-volume set LNAI 13713 until 13718 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2022, which took place in Grenoble, France, in September 2022.The 236 full papers presented in these proceedings were carefully reviewed and selected from a total of 1060 submissions. In addition, the proceedings include 17 Demo Track contributions. The volumes are organized in topical sections as follows: Part I: Clustering and dimensionality reduction; anomaly detection; interpretability and explainability; ranking and recommender systems; transfer and multitask learning; Part II: Networks and graphs; knowledge graphs; social network analysis; graph neural networks; natural language processing and text mining; conversational systems; Part III: Deep learning; robust and adversarial machine learning; generative models; computer vision; meta-learning, neural architecture search; Part IV: Reinforcement learning; multi-agent reinforcement learning; bandits and online learning; active and semi-supervised learning; private and federated learning; . Part V: Supervised learning; probabilistic inference; optimal transport; optimization; quantum, hardware; sustainability; Part VI: Time series; financial machine learning; applications; applications: transportation; demo track. Table of ContentsSupervised learning.- Probabilistic inference.- Optimal transport.- Optimization.- Quantum, hardware.- Sustainability.

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Book SynopsisThis book constitutes the refereed proceedings of the 14th International Conference on Metaheuristics, MIC 2022, held in Syracuse, Italy, in July 2022.The 48 full papers together with 17 short papers presented were carefully reviewed and selected from 72 submissions. The papers detail metaheuristic techniques.Chapter “Evaluating the Effects of Chaos in Variable Neighbourhood Search” 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 8th International Conference on Modelling and Development of Intelligent Systems, MDIS 2022, held in Sibiu, Romania, during October 28–30, 2022.The 21 papers included in this book were carefully reviewed and selected from 48 submissions. They were organized in the following topical sections as follows: intelligent systems for decision support; machine learning; mathematical models for development of intelligent systems; and modelling and optimization of dynamic systems.Table of ContentsIntelligent Systems for Decision Support.- Effective LSTM Neural Network with Adam Optimizer for Improving Frost Prediction in Agriculture Data Stream.- Gaze Tracking: A Survey of Devices, Libraries and Applications.- Group Decision-Making Involving Competence of Experts in Relation to Evaluation Criteria: Case Study for e-Commerce Platform Selection.- Transparency and Traceability for AI-based Defect Detection in PCB Production.- Tasks Management Using Modern Devices.- Machine Learning.- A Method for Target Localization by Multistatic Radars.- Intrusion Detection by XGBoost Model Tuned by Improved Social Network Search Algorithm.- Bridging the Resource Gap in Cross-lingual Embedding Space.- Classification of Microstructure Images of Metals using Transfer Learning.- Generating Jigsaw Puzzles and an AI Powered Solver.- Morphology of Convolutional Neural Network with Diagonalized Pooling.- Challenges and Opportunities in Deep Learning Driven Fashion Design and Textiles Patterns Development.- Feature Selection and Extreme Learning Machine Tuning by Hybrid Sand Cat Optimization Algorithm for Diabetes Classification.- Enriching SQL-Driven Data Exploration With Different Machine Learning Models.- Mathematical Models for Development of Intelligent Systems.- Analytical Solution of the Simplest Entropiece Inversion Problem.- Latent Semantic Structure in Malicious Programs.- Innovative Lattice Sequences Based on Component by Component Construction Method for Multidimensional Sensitivity Analysis.- On an Optimization of the Lattice Sequence for the Multidimensional Integrals Connected with Bayesian Statistics.- Modelling and Optimization of Dynamic Systems.- Numerical Optimization Identification of a Keller-Segel Model for Thermoregulation in Honey Bee Colonies in Winter.- Gradient Optimization in Reconstruction of the Diffusion Coefficient in a Time Fractional Integro-Differential Equation of Pollution in Porous Media.- Flash Flood Simulation Between Slănic and Vărbilău Rivers in Vărbilău Village, Prahova County, Romania, Using Hydraulic Modeling and GIS Techniques.

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Book SynopsisThis book constitutes the refereed proceedings of the 9th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2022, held in Grenoble, France, during September 19, 2022. The 10 full papers included in this book were carefully reviewed and selected from 18 submissions. They were organized in topical sections as follows: Football, Racket sports, Cycling.Table of ContentsFootball.- Towards expected counter - Using comprehensible features to predict counterattacks.- Shot analysis in different levels of German football using Expected Goals.- Analyzing passing sequences for the prediction of goal-scoring opportunities.- Let’s penetrate the defense: A machine learning model for prediction and valuation of penetrative passes.- Evaluation of creating scoring opportunities for teammates in soccer via trajectory prediction.- Cost-efficient and bias-robust sports player tracking by integrating GPS and video.- Racket sports.- Predicting tennis serve directions with machine learning.- Discovering and visualizing tactics in table tennis games based on subgroup discovery.- Cycling.- Athlete monitoring in professional road cycling using similarity search on time series data.

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Book SynopsisThis book constitutes selected papers presented during the two events: the First Forum, GranDGamesBR 2020, held in Recife, Brazil, in November 2020, and the Second Forum, GranDGamesBR 2021, held in Gramado, Brazi, in October 2021.The 12 papers presented were thoroughly reviewed and selected from 24 submissions. The topics included in this volume cover the following fields connected to games and entertainment computing: game design, educational games, games evaluation, game-based learning, player experience, human-computer interaction, games industry, business models, game software ecosystems, ethics, serious games, cyberdemocracy, emotional design, computer graphics, cognitive simulation, immersive entertainment, virtual/augmented/extended reality, gamification, and creative process.Table of ContentsChallenges in Evaluating Players’ Interaction with Digital Games.- The pursuit of fun in digital games: From the sandpit to the console and beyond.- Business Model for Indie Studios in Game Software Ecosystems.- Games as Mediating Platforms in an Open and Digital World.- Balancing Game Elements, Learning, and Emotions in Game Design.- Enhancing Students’ Learning Experience through Gamification: Perspectives and Challenges.- Ethics and Games, ethical games and ethics in game.- Challenges for XR in Games.- Stimulation of the Executive Functions Mediated by Digital Games: Current Challenges in the School Context.- Perceptual Analysis of Computer Graphics Characters in Digital Entertainment.- Nine Challenges for Immersive Entertainment.- Strategies to Promote Stakeholders’ Autonomy while Creating Educational Digital Games.

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Book SynopsisThe multi-volume set LNAI 14169 until 14175 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, in September 2023.The 196 papers were selected from the 829 submissions for the Research Track, and 58 papers were selected from the 239 submissions for the Applied Data Science Track. The volumes are organized in topical sections as follows:Part I: Active Learning; Adversarial Machine Learning; Anomaly Detection; Applications; Bayesian Methods; Causality; Clustering.Part II: ​Computer Vision; Deep Learning; Fairness; Federated Learning; Few-shot learning; Generative Models; Graph Contrastive Learning.Part III: ​Graph Neural Networks; Graphs; Interpretability; Knowledge Graphs; Large-scale Learning.Part IV: ​Natural Language Processing; Neuro/Symbolic Learning; Optimization; Recommender Systems; Reinforcement Learning; Representation Learning.Part V: ​Robustness; Time Series; Transfer and Multitask Learning.Part VI: ​Applied Machine Learning; Computational Social Sciences; Finance; Hardware and Systems; Healthcare & Bioinformatics; Human-Computer Interaction; Recommendation and Information Retrieval.​Part VII: Sustainability, Climate, and Environment.- Transportation & Urban Planning.- Demo.Table of ContentsNatural Language Processing.- Neuro/Symbolic Learning.- Optimization.- Recommender Systems.- Reinforcement Learning.- Representation Learning.

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Book Synopsis.- Various Problems of Artificial Intelligence..- Agent-Based Model for Field Service Management..- Evaluating policy effectiveness to enhance smart farming technologies adoption using fuzzy logic and Sugeno integral..- Functional based fuzzy logic query library..- Automatic Program Assessment, Grading and Code Generation: Possible AI-Support in a Software Development Course..- Computer Network User Profiling using Firewall Logs and ANFIS-based Hybrid Systems..- Different Approaches for Customer Lifetime Value in e-Book Subscription Domain..- Tweeting on an Empty Stomach: Unpacking Food Price Hikes and Inflation via Twitter..- Memory Augmented Multi-Agent Reinforcement Learning for Cooperative Environment..- The use of fuzzy sets in the classification of metagenomic data..- Speech deepfake recognition with data-efficient vision transformers..- Explainable Cubic Attention-based Autoencoder for Skin Cancer Classification..- A Study of Classifiers for Marking Short Answers in Intelligent Tutoring Systems..- Ontology-based rare disease database integration - practical issues and challenges..- A Review of the Challenges with Massive Web-mined Corpora Used in Large Language Models PreTraining..- A Hybrid Approach towards Vertical Handover in 5G Networks using Genetic Neuro-Fuzzy Controller..- Swarm Optimization for Enhanced Random Forest-Based IoT Security..- PV solar power forecasting using a subset of characteristic features selected by AI methods..- Pain intensity assessment using Recurrent Neural Networks..- Improving YOLOv8: An Algorithm Based on EfficientRepHead and BIFPN..- T-REX: Trustworthy and Reliable EXplainability Framework..- Bioinformatics, Biometrics and Medical Applications..- Multi-Label Long-Tailed Disease Recognition on Chest X-ray Images..- Myo-to-Gesture: Evolving AI-Based Innovations in Myoelectric Signal Processing State-of-the-Art Survey and Research Proposal..- A new image enhancement-based framework for spoofing detection in ear-based biometric authentication systems..- From Omics Data to Candidate Genes: An Innovative Machine Learning Approach for Biomarker Identification..- Machine Learning-Based Tool for Efficient Discrimination Between Deleterious and Neutral Missense Mutations..- Classification of cardiac arrhythmias using 1D and 2D convolutional neural networks..- Can algorithms used in automatic preprocessing affect the final value of brain volume? - preliminary study..- Pupil Constrictions and Dilations Effects as Data Augmentation on an Iris Recognition CNN Approach..- Breaking the Mold: ViT-CNN Fusion for Enhanced Glaucoma Prediction in OCT Images..- Positioning the Reconstruction Plane for a Statistical Iterative Reconstruction Algorithm with Rebinning in CT Scanners with a Flying Focal Spot..- Biometric iris authentication using a segmentation network with attention and a key-points detection algorithm..- Polyps Segmentation in Colonoscopy Images using SegFormer Transformer..- Wavelet feature extraction for dermoscopy images by tree-like wrappers.

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Book SynopsisIntroduction to Artificial Intelligence in Healthcare.- AI in Medical Imaging and Diagnostics.- AI in Personalized Medicine.- AI in Patient Monitoring and Management.- AI in Clinical Decision Support Systems.- AI in Healthcare Operations and Administration.- AI in Drug Discovery and Development.- Ethical and Societal Implications of AI in Healthcare.- Implementing AI in Healthcare: Challenges and Solutions.- Future Directions of AI in Healthcare.- Conclusion: The Transformative Power of AI in Healthcare.

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The ever-growing wealth of information has led to the emergence of a fourth paradigm of science. This new field of activity – data science – includes computer science, mathematics and a given specialist domain. This book focuses on chemistry, explaining how to use data science for deep insights and take chemical research and engineering to the next level. It covers modern aspects like Big Data, Artificial Intelligence and Quantum computing.

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Book SynopsisResearchers, academicians and professionals expone in this book their research in the application of intelligent computing techniques to software engineering. As software systems are becoming larger and complex, software engineering tasks become increasingly costly and prone to errors. Evolutionary algorithms, machine learning approaches, meta-heuristic algorithms, and others techniques can help the effi ciency of software engineering.

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Book SynopsisThis book is intended for business professionals that want to understand the fundamental concepts of Artificial Intelligence, their applications and limitations. Built as a collaborative effort between academia and the industry, this book bridges the gap between theory and business application, demystifying AI through fundamental concepts and industry examples. The reader will find here an overview of the different AI techniques to search, plan, reason, learn, adapt, understand and interact. The book covers the two traditional paradigms in AI: the statistical and data-driven AI systems, which learn and perform by ingesting millions of data points into machine learning algorithms, and the consciously modelled AI systems, known as symbolic AI systems, which use explicit symbols to represent the world and make conclusions. Rather than opposing those two paradigms, the book will also show how those different fields can complement each other. All royalties go to a charity. Demystifying AI

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Book SynopsisThis book provides a thorough background to the emerging field of medical robotics. It covers the mathematics needed to understand the use of robotic devices in medicine, including but not limited to robot kinematics, hand-eye and robot-world calibration, reconstruction, registration, motion planning, motion prediction, motion correlation, motion replication and motion learning. Additionally, basic methods behind state-of-the art robots like the DaVinci system, the CyberKnife, motorized C-arms and operating microscopes as well as stereotactic frames are presented. The book is a text book for undergraduates in computer science and engineering.The main idea of the book is to motivate the methods in robotics in medical applications rather than industrial applications. The book then follows the standard path for a robotics textbook. It is thus suitable for a first course in robotics for undergraduates. It is the first textbook on medical robotics.Table of ContentsIntroduction.- Describing Spatial Position and Orientation.- Robot Kinematics.- Joint Velocities and Jacobi-Matrices.- Navigation and Registration.- Treatment Planning.- Motion Correlation and Tracking.- Motion Prediction.- Motion Replication.- Applications of Surgical Robotics.- Rehabilitation, Neuroprosthetics and Brain-Machine Interfaces.

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Book SynopsisThe two-volume set LNCS 10269 and 10270 constitutes the refereed proceedings of the 20th Scandinavian Conference on Image Analysis, SCIA 2017, held in Tromsø, Norway, in June 2017. The 87 revised papers presented were carefully reviewed and selected from 133 submissions. The contributions are structured in topical sections on history of SCIA; motion analysis and 3D vision; pattern detection and recognition; machine learning; image processing and applications; feature extraction and segmentation; remote sensing; medical and biomedical image analysis; faces, gestures and multispectral analysis.Table of ContentsHistory of SCIA.- Motion analysis and 3D vision.- Pattern detection and recognition.- Machine learning.- Image processing and applications.- Feature extraction and segmentation.- Remote sensing.- Medical and biomedical image analysis.- Faces, gestures and multispectral analysis.

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Book SynopsisThe robot “concept” was clearly established by those many creative historical realizations, such as those recalled above. Nonetheless, the emergence of the “physical” robot had to await the advent of its underlying technologies of mechanics, controls, computers, electronics and sensors ―in one word, mechatronics― during the course of the twentieth century. As always, new designs motivate new research and discoveries which, in turn, lead to enhanced solutions and thus to novel concepts. This virtuous circle over time produced that knowledge and understanding which gave birth to the field of Robotics, properly referred to as the science and technology of robots.To make robots and intelligent machines useful to humans it is necessary to have a broad and tight intersection between Robotics and AI. Sophisticated mathematical models are needed that enable the robot from a physical point of view, as well as intelligent algorithms capable of correlating all the information coming from the use of technologically advanced sensors with the data available from experience. It is expected that the synergy of model-based techniques with data-driven approaches will contribute to increasing the level of autonomy of robots and intelligent machines in the near future.The first book of the Robotics Goes MOOC project starts with the journey of robotics in the introductory chapter by Khatib, who has pioneered our field of robotics and has ferried it to the third millennium. Sensing is crucial for the development of intelligent and autonomous robots, as covered in Chapter 2 by Nüchter et al. Model-based control is dealt with in Chapter 3 by Kröeger et al along with motion planning, as well as in Chapter 4 by Villani and Chapter 5 by Chaumette to handle force and visual feedback, respectively, when interacting with the environment. Resorting to AI techniques is the focus of the last part of the book, namely, Chapter 6 by Peters et al on Learning, Chapter 7 by Beetz et al on knowledge representation and reasoning, and Chapter 8 by Burgard et al on graph-based SLAM.Table of Contents1 Khatib, The Journey of Robotics.- 2 Nüchter, Sensing and Estimation.- 3 Kröger, Control and Motion Planning.- 4 Villani, Force Control.- 5 Chaumette, Visual Control.- 6 Peters, Learning.- 7 Beetz, Knowledge Representation and Reasoning- 8 Burgard, Graph-Based SLAM.

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Book SynopsisIt is often read in the media that AI and Robotics are the primary cause of technology unemployment. AI and machine learning techniques are expected to take over lower-level tasks, while humans can spend more time with higher-level tasks. In perspective, it can be said that jobs requiring boring cognitive tasks or repeatable and dangerous physical tasks will be considerably shredded by automation thanks to the wide adoption of AI & Robotics technology to replace humans, while jobs requiring challenging cognitive tasks or unstructured physical tasks will be suitably re-engineered with the progressive introduction of AI & Robotics technology to assist humans.From the discussion above, it should be clear that in a world populated by humans and robots, issues arise that go beyond engineering and technology due to the impact resulting from the use of robots in various application scenarios. The anthropization of robots cannot ignore the resolution of those ethical, legal, sociological, economic (ELSE) problems that have so far slowed their spread in our society.The final book of the Robotics Goes MOOC project enlightens the impact of using robotic technology in the main fields of application, namely, industrial robots as in Chapter 1 by Bischoff et al, medical robotics as in Chapter 2 by Dario et al, aerial robots as in Chapter 3 by Ollero et al, orbital robotics as in Chapter 4 by Lampariello, underwater robots in Chapter 5 by Antonelli, and rescue robots as in Chapter 6 by Murphy. The last part is devoted to the open dilemma of using and accepting robots in human co-habited environments which is addressed in Chapter 7 on social robotics by Pandey and the very final chapter by Tamburrini on the important issues raised with roboethics.Table of Contents1 Bischoff, Industrial Robots.- 2 Dario, Medical Robots.- 3 Ollero, Aerial Robots.- 4 Lampariello, Space Robots.- 5 Antonelli, Underwater Robots.- 6 Murphy, Rescue Robots.- 7 Pandey, Social Robots.- 8 Tamburrini, Ethical Legal and Societal Issues.

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Book SynopsisWith the massive and pervasive diffusion of robotics technology in our society, we are heading towards a new type of AI, which we call Physical AI at the intersection of Robotics with AI, that is the science of robots and intelligent machines performing a physical action to help humans in their jobs of daily lives. Physical assistance to disabled or elderly people; reduction of risks and fatigue at work; improvement of production processes of material goods and their sustainability; safety, efficiency and reduction of environmental impact in transportation of people and goods; progress of diagnostic and surgical techniques are all examples of scenarios where the new InterAction Technology (IAT) is indispensable.The interaction between robots and humans must be managed in a safe and reliable manner. The robot becomes an ideal assistant, like the tool used by a surgeon, a craftsman, a skilled worker. The new generation of robots will co-exist — the cobots — with humans not only in the workplace but, gradually, in homes and communities, providing support in services, entertainment, education, health, manufacturing and care.As widely discussed above, interaction plays a crucial role for the development of modern robotic systems. Grasping, manipulation and cooperative manipulators are covered in the first part of the third book of the Robotics Goes MOOC project, respectively in Chapter 1 by Prattichizzo et al, Chapter 2 by Kao et al, and Chapter 3 by Caccavale. Specific interaction issues along with the development of digital and physical interfaces are dealt with in Chapter 4 by Marchal et al and in Chapter 5 by Croft et al, respectively. Interaction between robot and human also means that a robot can be worn by a human as presented in Chapter 6 by Vitiello et al. A different type of interaction at a cognitive and planning level is the focus of Chapter 7 by Lima devoted to multi-robot systems and Chapter 8 by Song et al on networked, cloud and fog robotics, respectively.Table of Contents1 Prattichizzo, Grasping.- 2 Kao, Manipulation.- 3 Caccavale, Cooperative Robots.- 4 Hollerbach, Haptics and Virtual Reality.- 5 Croft, Human−Robot Interaction.- 6 Vitiello, Wearable Robots.- 7 Sukhatme, Multiple Robots.- 8 Song, Networked Robots.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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Book SynopsisThe authors stress the relative simplicity, efficiency, flexibility of use, and suitability of various approaches used to solve difficult optimization problems. The authors are experienced, interdisciplinary lecturers and researchers and in their explanations they demonstrate many shared foundational concepts among the key methodologies. This textbook is a suitable introduction for undergraduate and graduate students, researchers, and professionals in computer science, engineering, and logistics.Trade Review“I would recommend this book for students in the area of operations research, but also for students and professionals from other fields (like natural sciences or social sciences) who would like not only to apply metaheuristics to solve the problems … but also to understand how they work.” (Marcin Anholcer, zbMATH 1427.90001, 2020)Table of ContentsProblems, Algorithms, Computational Complexity.- Search Space.- Tabu Search.- Simulated Annealing.- Ant Colony Optimization (ACO).- Non-PSO Optimization.- Firefly Algorithm, Cuckoo Algorithm, Lévy Flights.- Evolutionary Algorithms: Foundations.- Evolutionary Algorithms: Advanced.- Phase Transition in Optimization Problems.- Performance and Limitations of Metaheuristics.- Statistical Analysis of Research Spaces.

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Book SynopsisHumanexpertsarenotsystemsofrules,theyarelibrariesofexperiences. Riesbeck and Schank (1989, p.15) Broadlyspeaking,case-basedreasoning(CBR)is concernedwith solvingnew problems by adapting solutions that worked for similar problems in the past. As with Arti cial Intelligence in general, case-based reasoning deals with two di erent aspects of intelligence: A r st motivation is to establish cog- tive models in order to understand human thinking and behavior. A second motivationis to buildsystemswhichhelpto solvereal-worldproblems.These twofacetscanbeconsideredastwosidesofthesamecoin.Traditionally,CBR researchinEuropehasconcentratedverymuchonthesecondaspect,though, of course, successful projects are not possible without a sound theory. The objective of this book is to summarize the results of recent years of research in CBR. A strong emphasis is put on projects performed and - plications developed in Germany. However, research has not been performed in isolation. Rather, a large number of cooperations between research sites throughout the world have been established which provided a fertile ground for the community. Hence, it is only natural that work from colleagues from France, Ireland, the Netherlands, and the United States has been included in this volume. This book is not intended to be a textbook giving a comprehensive overview of the eld. Rather, the objective is to consider in detail di - ent potential application areas, to work out the pros and cons of using CBR and to summarize the lessons learned from projects. For this, we assume that the reader already has at least a basic understanding of what case-based reasoning is all about.Table of ContentsExtending some Concepts of CBR — Foundations of Case Retrieval Nets.- Diagnosis and Decision Support.- Intelligent Sales Support with CBR.- Textual CBR.- Using Configuration Techniques for Adaptation.- CBR Applied to Planning.- CBR for Design.- CBR for Experimental Software Engineering.- CBR for Tutoring and Help Systems.- CBR in Medicine.- Methodology for Building CBR Applications.- Related Areas.

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Book SynopsisThis book constitutes the thoroughly refereed joint post-proceedings of three international workshops organized by the Japanese Society for Artificial Intelligence, held in Tokyo, Japan in June 2006 during the 20th Annual Conference JSAI 2006. The volume starts with eight award winning papers of the JSAI 2006 main conference that are presented along with the 21 revised full workshop papers, carefully reviewed and selected for inclusion in the volume.Table of ContentsAwarded Papers.- Overview of Awarded Papers – The 20th Annual Conference of JSAI.- Translational Symmetry in Subsequence Time-Series Clustering.- Visualization of Contents Archive by Contour Map Representation.- Discussion Ontology: Knowledge Discovery from Human Activities in Meetings.- Predicting Types of Protein-Protein Interactions Using a Multiple-Instance Learning Model.- Lattice for Musical Structure and Its Arithmetics.- Viewlon: Visualizing Information on Semantic Sensor Network.- Cooperative Task Achievement System Between Humans and Robots Based on Stochastic Memory Model of Spatial Environment.- People Who Create Knowledge Sharing Communities.- Logic and Engineering of Natural Language Semantics.- Logic and Engineering of Natural Language Semantics (LENLS) 3.- A Dynamic Semantics of Intentional Identity.- Prolegomena to General-Imaging-Based Probabilistic Dynamic Epistemic Logic.- Logical Dynamics of Commands and Obligations.- On Factive Islands: Pragmatic Anomaly vs. Pragmatic Infelicity.- Aspects of the Indefiniteness Effect.- Interpreting Metaphors in a New Semantic Theory of Concept.- Covert Emotive Modality Is a Monster.- Conversational Implicatures Via General Pragmatic Pressures.- Dake-wa: Exhaustifying Assertions.- Unembedded ‘Negative’ Quantifiers.- Learning with Logics and Logics for Learning.- The Fourth Workshop on Learning with Logics and Logics for Learning (LLLL2006).- Consistency Conditions for Inductive Inference of Recursive Functions.- Inferability of Closed Set Systems from Positive Data.- An Extended Branch and Bound Search Algorithm for Finding Top-N Formal Concepts of Documents.- N-Gram Analysis Based on Zero-Suppressed BDDs.- Risk Mining.- Risk Mining - Overview.- Analysis on a Relation Between Enterprise Profit and Financial State by Using Data Mining Techniques.- Unusual Condition Detection of Bearing Vibration in Hydroelectric Power Plants for Risk Management.- Structural Health Assessing by Interactive Data Mining Approach in Nuclear Power Plant.- Developing Mining-Grid Centric e-Finance Portals for Risk Management.- Knowledge Discovery from Click Stream Data and Effective Site Management.- Sampling-Based Stream Mining for Network Risk Management.- Relation Between Abductive and Inductive Types of Nursing Risk Management.

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Book SynopsisThis book publishes a collection of original scientific research articles that address the state-of-art in using partial differential equations for image and signal processing. Coverage includes: level set methods for image segmentation and construction, denoising techniques, digital image inpainting, image dejittering, image registration, and fast numerical algorithms for solving these problems. Table of ContentsDigital Image Inpainting, Image Dejittering, and Optical Flow Estimation.- Image Inpainting Using a TV-Stokes Equation.- Error Analysis for H1 Based Wavelet Interpolations.- Image Dejittering Based on Slicing Moments.- CLG Method for Optical Flow Estimation Based on Gradient Constancy Assumption.- Denoising and Total Variation Methods.- On Multigrids for Solving a Class of Improved Total Variation Based Staircasing Reduction Models.- A Method for Total Variation-based Reconstruction of Noisy and Blurred Images.- Minimization of an Edge-Preserving Regularization Functional by Conjugate Gradient Type Methods.- A Newton-type Total Variation Diminishing Flow.- Chromaticity Denoising using Solution to the Skorokhod Problem.- Improved 3D Reconstruction of Interphase Chromosomes Based on Nonlinear Diffusion Filtering.- Image Segmentation.- Some Recent Developments in Variational Image Segmentation.- Application of Non-Convex BV Regularization for Image Segmentation.- Region-Based Variational Problems and Normal Alignment – Geometric Interpretation of Descent PDEs.- Fast PCLSM with Newton Updating Algorithm.- Fast Numerical Methods.- Nonlinear Multilevel Schemes for Solving the Total Variation Image Minimization Problem.- Fast Implementation of Piecewise Constant Level Set Methods.- The Multigrid Image Transform.- Minimally Stochastic Schemes for Singular Diffusion Equations.- Image Registration.- Total Variation Based Image Registration.- Variational Image Registration Allowing for Discontinuities in the Displacement Field.- Inverse Problems.- Shape Reconstruction from Two-Phase Incompressible Flow Data using Level Sets.- Reservoir Description Using a Binary Level Set Approach with Additional Prior Information About the Reservoir Model.

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