Artificial intelligence (AI) Books

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

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Book SynopsisThis book constitutes the refereed conference proceedings of the 9th IFIP WG 13.2 International Conference on Human-Centered Software Engineering, HCSE 2022, which was held in Eindhoven, The Netherlands, during August 2022. The 11 full papers presented together with 2 poster and demo papers were carefully reviewed and selected from 25 submissions. The papers focus on the interdependencies between user interface properties and contribute to the development of theories, methods, tools and approaches for dealing with multiple properties that should be taken into account when developing interactive systems. They are organized in the following topical sections: user-centred design approaches; model-based and model-driven approaches; software development strategies; and posters and demos.

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Book SynopsisThis book discusses artificial intelligence (AI) and cybersecurity from multiple points of view. The diverse chapters reveal modern trends and challenges related to the use of artificial intelligence when considering privacy, cyber-attacks and defense as well as applications from malware detection to radio signal intelligence.The chapters are contributed by an international team of renown researchers and professionals in the field of AI and cybersecurity.During the last few decades the rise of modern AI solutions that surpass humans in specific tasks has occurred. Moreover, these new technologies provide new methods of automating cybersecurity tasks. In addition to the privacy, ethics and cybersecurity concerns, the readers learn several new cutting edge applications of AI technologies.Researchers working in AI and cybersecurity as well as advanced level students studying computer science and electrical engineering with a focus on AI and Cybersecurity will find this book useful as a reference. Professionals working within these related fields will also want to purchase this book as a reference. Table of ContentsPart I Cybersecurity ConcernsUse of Artificial Intelligence in a Cybersecurity EnvironmentPetri Vähäkainu and Martti LehtoA Review of Cyber Threat (Artificial) Intelligence in SecurityManagementMartin Lundgren and Ali PadyabModel Based Resilience Engineering for Design and Assessment ofMission Critical Systems Containing AI ComponentsAutomation of CybersecurityWorkArtificial Intelligence for Cybersecurity Education and TrainingOffensive Machine Learning Methods and the Cyber Kill ChainDefensive Machine Learning Methods and the Cyber Defence Chain . Part II Privacy and EthicsDifferential Privacy: An Umbrella ReviewAI in Cyber Operations: Ethical and Legal Considerations for End-UsersPart III ApplicationsAndroid Malware Detection Using Deep LearningArtificial Intelligence Enabled Radio Signal IntelligenceDeep Learning Quantile Regression for Robustness, Confidence andPlanningModel Fooling Threats Against Medical Imaging

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Book SynopsisThis book constitutes the refereed proceedings of the 13th International Conference on the Theory and Application of Diagrams, Diagrams 2022, held in Rome, Italy, in September 2022. The 11 full papers and 19 short papers presented together with 5 posters were carefully reviewed and selected from 58 submissions. 8 chapters are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

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Book Synopsis This book includes recent research on climbing and walking robots. CLAWAR 2022 is the twenty-fifth International Conference Series on Climbing and Walking Robots and Mobile Machine Support Technologies. The conference is organized by CLAWAR Association in collaboration with the University of the Azores, S. Miguel, Portugal, during September 12-14, 2022. CLAWAR 2022 provides an updated state of the art on robotics and its use in a diversity of applications and/or simulation scenarios, within the framework “Robotics in Natural Settings”. The topics covered include Bio-Inspired Robotics, Biped Locomotion, Educational Robotics, Human-Machine/Human-Robot Interaction, Innovative Actuators, Inspection, Legged Locomotion, Modeling and Simulation of CLAWAR, Outdoor and Field Robotics, Planning and Control, Wearable Devices and Assistive Robotics, and the Use of A.I. in Robotics. The intended readership includes participants of CLAWAR 2022 conference, international robotic researchers, scientists, and professors of related topics worldwide, and professors and students of postgraduate courses in Robotics and Automation, Control Engineering, Mechanical Engineering, and Mechatronics.

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Book SynopsisThis book addresses the topic of autonomous flying robots physically interacting with the environment under the influence of wind. It aims to make aerial robots aware of the disturbance, interaction, and faults acting on them. This requires reasoning about the external wrench (force and torque) acting on the robot and distinguishing between wind, interactions, and collisions. The book takes a model-based approach and covers a systematic approach to parameter identification for flying robots. The book aims to provide a wind speed estimate independent of the external wrench, including estimating the wind speed using motor power measurements. Aerodynamics modeling is approached in a data-driven fashion, using ground-truth measurements from a 4D wind tunnel. Finally, the book bridges the gap between trajectory tracking and interaction control, to allow physical interaction under wind influence. Theoretical results are accompanied by extensive simulation and experimental results.Table of Contents Introduction.- Modeling.- Tracking and interaction control.- Wind estimation.- Force discrimination.- Applications and outlook.- Conclusion.

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Book SynopsisNowadays, data analysis is becoming an appealing topic due to the emergence of new data types, dimensions, and sources. This motivates the development of probabilistic/statistical approaches and tools to cope with these data. Different communities of experts, namely statisticians, mathematicians, computer scientists, engineers, econometricians, and psychologists are more and more interested in facing this challenge. As a consequence, there is a clear need to build bridges between all these communities for Data Science.This book contains more than fifty selected recent contributions aiming to establish the above referred bridges. These contributions address very different and relevant aspects such as imprecise probabilities, information theory, random sets and random fuzzy sets, belief functions, possibility theory, dependence modelling and copulas, clustering, depth concepts, dimensionality reduction of complex data and robustness.

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Book SynopsisThe volume LNAI 13546 constitutes the refereed proceedings of the 23rd Annual Conference Towards Autonomous Robotic Systems, TAROS 2022, held in Culham, UK, in September 2022. The 14 full papers and 10 short papers were carefully reviewed and selected from 38 submissions. Organized in the topical sections "Algorithms" and "Systems", they discuss significant findings and advances in the following areas: Robotic Grippers and Manipulation; Soft Robotics, Sensing and Mobile Robots; Robotic Learning, Mapping and Planning; Robotic Systems and Applications.Table of ContentsA distributed approach to haptic simulation.- A Novel Two-Hand-Inspired Hybrid Robotic End-Effector Fabricated Using 3D Printing.- Investigating the relationship between posture and safety in teleoperational tasks: A pilot study in improved operational safety through enhanced human-machine interaction.- Design and Analysis of an End Effector Using the Fin Ray Structure for Integrated Limb Mechanisms.- Trigger-Assisted Ambidextrous Control Framework for Teleoperation of Two Legged Manipulators.- Teleoperating a Legged Manipulator through Whole-Body Control.- In-silico Design and Computational Modelling of Electroactive Polymer based Soft Robotics.- Exploration of Underwater Storage Facilities with Swarm of Micro-Surface Robots.- Characterization of an Inflatable Soft Actuator and Tissue Interaction for In Vitro Mechanical Stimulation of Tissue.- EMap: Real-time terrain estimation.- Design and Preliminary In-Classroom Evaluation\\of a Low-Cost Educational Mobile Robot.- Internal State-based Risk Assessment for Robots in Hazardous Environment.- Investigating Scene Visibility Estimation within ORB-SLAM3.- Tactile and Proprioceptive Online Learning in Robotic Contour Following.- Learning cooperative behaviours in adversarial multi-agent systems.- Task Independent Safety Assessment for Reinforcement Learning.- Sensing Anomalies as Potential Hazards: Datasets and Benchmarks.- Integration and robustness analysis of the Buzz swarm programming language with the Pi-puck robot platform.- Implementing and assessing a remote teleoperation setup with a Digital Twin using cloud networking.- Agent-Based Simulation of Multi-Robot Soil Compaction Mapping.- A-EMS: An Adaptive Emergency Management System for Autonomous Agents in Unforeseen Situations.- Towards Scalable Multi-Robot Systems by Partitioning the Task Domain.- Effectiveness of brush operational parameters for robotic debris removal.- Automatic, Vision-Based Tool Changing Solution for Dexterous Teleoperation Robots in a Nuclear Glovebox

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Book SynopsisThis book constitutes the refereed proceedings of the 14th International Conference on Computational Collective Intelligence, ICCCI 2022, held in Hammamet, Tunisia, in September 2022. The 56 full papers and 10 short papers were carefully reviewed and selected from 420 submissions. The papers are grouped in topical ​sections on collective intelligence and collective decision-making; deep learning techniques; natural language processing; data minning and machine learning; knowledge engineering and semantic web; computer vision techniques; social networks and intelligent systems; cybersecurity and internet of things; cooperative strategies for decision making and optimization; computational intelligence for digital content understanding; applications for industry 4.0.Table of ContentsCollective Intelligence and Collective Decision-Making.- Deep Learning Techniques.- Natural Language Processing.- Data Mining and Machine learning.- Knowledge Engineering and Semantic Web.- Computer Vision Techniques.- Social Networks and Intelligent Systems.- Cybersecurity and Internet of Things.- Cooperative Strategies for Decision Making and Optimization.- Computational Intelligence for Digital Content Understanding.- Applications for Industry 4.0.

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Book SynopsisThis book is about the generalization and modernization of approximation by neural network operators. Functions under approximation and the neural networks are Banach space valued. These are induced by a great variety of activation functions deriving from the arctangent, algebraic, Gudermannian, and generalized symmetric sigmoid functions. Ordinary, fractional, fuzzy, and stochastic approximations are exhibited at the univariate, fractional, and multivariate levels. Iterated-sequential approximations are also covered. The book’s results are expected to find applications in the many areas of applied mathematics, computer science and engineering, especially in artificial intelligence and machine learning. Other possible applications can be in applied sciences like statistics, economics, etc. Therefore, this book is suitable for researchers, graduate students, practitioners, and seminars of the above disciplines, also to be in all science and engineering libraries.Table of ContentsAlgebraic function induced Banach space valued ordinary and fractional neural network approximations.- Gudermannian function induced Banach space valued ordinary and fractional neural network approximations.- Generalized symmetrical sigmoid function induced Banach space valued ordinary and fractional neural network approximations.- Abstract multivariate algebraic function induced neural network approximations.- General multivariate arctangent function induced neural network approximations.- Abstract multivariate Gudermannian function induced neural network approximations.- Generalized symmetrical sigmoid function induced neural network multivariate approximation.- Quantitative Approximation by Kantorovich-Choquet quasi-interpolation neural network operators revisited.- Quantitative Approximation by Kantorovich-Shilkret quasi-interpolation neural network operators revisited.- Voronsovkaya Univariate and Multivariate asymptotic expansions for sigmoid functions induced quasi-interpolation neural network operators revisited.- Univariate Fuzzy Fractional various sigmoid function activated neural network approximations revisited.- Multivariate Fuzzy Approximation by Neural Network Operators induced by several sigmoid functions revisited.- Multivariate Fuzzy-Random and stochastic various activation functions activated Neural Network Approximations.

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Book SynopsisThis book constitutes the refereed proceedings of the first MICCAI Workshop on Resource-Efficient Medical Image Analysis, REMIA 2022, held in conjunction with MICCAI 2022, in September 2022 as a hybrid event. REMIA 2022 accepted 13 papers from the 19 submissions received. The workshop aims at creating a discussion on the issues for practical applications of medical imaging systems with data, label and hardware limitations.Table of ContentsMulti-Task Semi-Supervised Learning for Vascular Network.- Segmentation and Renal Cell Carcinoma Classification.- Self-supervised Antigen Detection Artificial Intelligence (SANDI).- RadTex: Learning Effcient Radiograph Representations from Text Reports.- Single Domain Generalization via Spontaneous Amplitude Spectrum Diversification.- Triple-View Feature Learning for Medical Image Segmentation.- Classification of 4D fMRI Images Using ML, Focusing on Computational and Memory Utilization Effciency.- An Effcient Defending Mechanism Against Image Attacking On Medical Image Segmentation Models.- Leverage Supervised and Self-supervised Pretrain Models for Pathological Survival Analysis via a Simple and Low-cost Joint Representation Tuning.- Pathological Image Contrastive Self-Supervised Learning.- Investigation of Training Multiple Instance Learning Networks with Instance Sampling.- Masked Video Modeling with Correlation-aware Contrastive Learning for Breast Cancer Diagnosis in Ultrasound.- A self-attentive meta-learning approach for image-based few-shot disease detection.- Facing Annotation Redundancy: OCT Layer Segmentation with Only 10 Annotated Pixels Per Layer.

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Book SynopsisThis book constitutes the proceedings of the 5th International Workshop on Predictive Intelligence in Medicine, PRIME 2022, held in conjunction with MICCAI 2022 as a hybrid event in Singapore, in September 2022.The 19 papers presented in this volume were carefully reviewed and selected for inclusion in this book. The contributions describe new cutting-edge predictive models and methods that solve challenging problems in the medical field for a high-precision predictive medicine.Table of ContentsFederated Time-dependent GNN Learning from Brain Connectivity Data with Missing Timepoints.- Bridging the Gap between Deep Learning and Hypothesis-Driven Analysis via Permutation Testing.- Multi-Tracer PET Imaging Using Deep Learning: Applications in Patients with High-Grade Gliomas.- Multiple Instance Neuroimage Transformer.- Intervertebral Disc Labeling With Learning Shape Information, A Look Once Approach.- Mixup augmentation improves age prediction from T1-weighted brain MRI scans.- Diagnosing Knee Injuries from MRI with Transformer Based Deep Learning.- MISS-Net: Multi-view contrastive transformer network for MCI stages prediction using brain 18F-FDG PET imaging.- TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical Image Segmentation.- Opportunistic hip fracture risk prediction in Men from X-ray: Findings from the Osteoporosis in Men (MrOS) Study.- Weakly-Supervised TILs Segmentation based on Point Annotations using Transfer Learning with Point Detector and Projected-Boundary Regressor.- Discriminative Deep Neural Network for Predicting Knee OsteoArthritis in Early Stage.- Long-Term Cognitive Outcome Prediction in Stroke Patients Using Multi-Task Learning on Imaging and Tabular Data.- Quantifying the Predictive Uncertainty of Regression GNN Models Under Target Domain Shifts.- Investigating the Predictive Reproducibility of Federated Graph Neural Networks using Medical Datasets.- Learning subject-specific functional parcellations from cortical surface measures.- A Triplet Contrast Learning of Global and Local Representations for Unannotated Medical Images.- Predicting Brain Multigraph Population From a Single Graph Template for Boosting One-Shot Classification.- Meta-RegGNN: Predicting Verbal and Full-Scale Intelligence Scores using Graph Neural Networks and Meta-Learning

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Book SynopsisThis book constitutes the refereed proceedings of the 23rd International Conference on Knowledge Engineering and Knowledge Management, EKAW 2022, held in Bolzano, Italy, in September 2022. The 11 full papers presented together with 5 short papers were carefully reviewed and selected from 57 submissions The previous event in the series, EKAW 2020, introduced a special theme related to “Ethical and Trustworthy Knowledge Engineering.” This theme is still very relevant in 2022, and thus has remained one of the core topics of the conference.The conference concerned with all aspects about eliciting, acquiring, modeling and managing knowledge, and the construction of knowledge-intensive systems and services for the semantic web, knowledge management, e-business, natural language processing, intelligent information integration, and much more.Table of ContentsBasic Human Values and Moral Foundations Theory in ValueNet Ontology.- Extending Ontology Engineering Practices to Facilitate Application Development.- MultiAligNet: Cross-Lingual Knowledge Bridges between Words and Senses.- Question Answering with Additive Restrictive Training (QuAART): Question Answering for the Rapid Development of New Knowledge Extraction Pipelines.- New Strategies for Training Knowledge Graph Embeddings: the Recommendation Case.- Documenting the Creation, Manipulation and Evaluation of Links for Reuse and Reproducibility.- Should we afford affordances? Injecting ConceptNet knowledge into BERT-based models to improve commonsense reasoning ability.- Towards a Knowledge Graph of Health Evolution.- Beyond Causality: Representing Event Relations in Knowledge Graphs.- Evaluating the Interpretability of Threshold Operators.- EBOCA: Evidences for BiOmedical Concepts Association Ontology.- Counter Effect Rules Mining in Knowledge Graphs.- A FAIR Core Semantic Metadata Model for FAIR Multidimensional Tabular Datasets.- Human-centric Ontology Evaluation: Process and Tool Support.- Towards Pragmatic Explanations for Domain Ontologies.- Quasi-equivalent concept trade-off in ontology design: initial considerations and analyses.

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Book SynopsisThis book shows latest research on the role Artificial inelegance in enabling IoT to evoke IoI, and how IoI flourish inside technologies like social media platforms, social networks: communities of practice/interest, to assure a globally sustainable unit where humans integrate with machines to collaboratively share ideas and solve complex problems. Such a book holds several benefits. It will reveal theoretical practical, and managerial implications through discussions that will embrace a wide array of technologies focused on the role of AI enabled IoT to evoke IoI. EAMMIS 2022 was organized by the Bridges Foundation in cooperation with Coventry University, UK on the 10th and 11th of June 2022. EAMMIS 2022 theme was From the Internet of Things to the Internet of Ideas: The role of Artificial Intelligence. The papers presented at the conference provide a holistic view of AI and its applications, IOT and the IOI which will help societies to better use and benefit from AI, IOT and IOI to develop future strategies and actions.

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Book SynopsisThis book gives a detailed information of various real-life applications from various fields using nature inspired optimization techniques. These techniques are proven to be efficient and robust in many difficult problems in literature. The authors provide detailed information about real-life problems and how various nature inspired optimizations are applied to solve these problems. The authors discuss techniques such as Biogeography Based Optimization, Glow Swarm Optimization, Elephant herd Optimization Algorithm, Cuckoo Search Algorithm, Ant Colony Optimization, and Grey Wolf Optimization etc. These algorithms are applied to a wide range of problems from the field of engineering, finance, medicinal etc. As an important part of the Women in Science and Engineering book series, the work highlights the contribution of women leaders in nature inspired optimization, inspiring women and men, girls and boys to enter and apply themselves to the field.Table of Contents1) AN OVERVIEW OF SWARM INTELLIGENCE BASED ALGORITHMS2) Particle Swarm Optimization and its Applications in the Manufacturing Industry3) Role of Machine Learning in Bioprocess Engineering: Current Perspectives and Future Directions 4) Advanced Selection Operation for Differential Evolution Algorithm 5) Profit Optimization of Two-Unit Briquetting System using grey wolf Optimization algorithm 6) Solving Portfolio optimization using Sine-cosine Algorithm embedded mutation operations7) Detecting Group Shilling Profiles in Recommender Systems: A Hybrid Clustering and Grey Wolf Optimizer Technique8) SINGLE IMAGE REFLECTION REMOVAL USING DEEP LEARNING 9) Social media analysis: A tool for popularity prediction using machine learning classifiers

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Book SynopsisThis book constitutes the proceedings of the 20th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2022, held in L'Aquila, Italy in July 2022.The 37 full papers in this book were reviewed and selected from 67 submissions. Another 10 demonstrations papers were selected from 11 submissions are presented here as short papers. The papers deal with the application and validation of agent-based models, methods, and technologies in a number of key applications areas, including: advanced models and learning, agent-based programming, decision-making, education and social interactions, formal and theoretic models, health and safety, mobility and the city, swarms and task allocation.

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Book SynopsisThe 4-volume set LNCS 13534, 13535, 13536 and 13537 constitutes the refereed proceedings of the 5th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2022, held in Shenzhen, China, in November 2022.The 233 full papers presented were carefully reviewed and selected from 564 submissions. The papers have been organized in the following topical sections: Theories and Feature Extraction; Machine learning, Multimedia and Multimodal; Optimization and Neural Network and Deep Learning; Biomedical Image Processing and Analysis; Pattern Classification and Clustering; 3D Computer Vision and Reconstruction, Robots and Autonomous Driving; Recognition, Remote Sensing; Vision Analysis and Understanding; Image Processing and Low-level Vision; Object Detection, Segmentation and Tracking.Table of Contents​Image Processing and Low-level Vision.- Video Deraining via Temporal Discrepancy Learning.- Multi-priors Guided Dehazing Network Based on Knowledge Distillation.- DLMP-Net: a dynamic yet lightweight multi-pyramid network for crowd density estimation.- CHENet: Image to Image Chinese Handwriting Eraser.- Identidication method for rice pests with small sample size problem combining deep learning and metric learning.- Boundary-Aware Polyp Segmentation Network.- SUDANet:A Siamese UNet with Dense Attention Mechanism for Remote Sensing Image Change Detection.- A Local-Global Self-attention Interaction Network for RGB-D Cross-modal Person Re-identification.- A RAW Burst Super-Resolution Method with Enhanced Denoising.- Unpaired and Self-supervised Optical Coherence Tomography Angiography Super-resolution.- Multi-Feature Fusion Network for Single Image Dehazing.- LAGAN: Landmark Aided Text to Face Sketch Generation.- DMF-CL: Dense Multi-scale Feature Contrastive Learning for Semantic segmentation of Remote-sensing images.- Image derain method for generative adversarial network based on wavelet high frequency feature fusion.- GPU-Accelerated Infrared Patch-Image Model for Small Target Detection.- Hyperspectral and Multispectral Image Fusion Based on Unsupervised Feature Mixing and Reconstruction Network.- Information Adversarial Disentanglement for Face Swapping.- A Dense Prediction ViT Network for Single Image Bokeh Rendering.- Multi-scale Coarse-to-fine Network for Demoiring.- Learning Contextual Embedding Deep Networks for Accurate and Efficient Image Deraining.- A Stage-Mutual-Ane Network for Single Remote Sensing Image Super-Resolution.- Style-based Attentive Network for Real-World Face Hallucination.- Cascade Scale-aware Distillation Network for Lightweight RemoteSensing Image Super-Resolution.- Few-Shot Segmentation via Rich Prototype Generation and RecurrentPrediction Enhancement.- Object Detection, Segmentation and Tracking.- TAFDet: A Task Awareness Focal Detector for Ship Detection in SAR Images.- MSDNet:Multi-scale Dense Networks for Salient Object Detection.- WaveSNet: Wavelet Integrated Deep Networks for Image Segmentation.- Infrared Object Detection Algorithm Based on Spatial Feature Enhancement.- Object Detection Based on Embedding Internal and External Knowledge.- ComLoss: A Novel Loss towards More Compact Predictions for Pedestrian Detection.- Remote sensing image detection based on attention mechanism and YOLOv5.- Detection of Pin Defects in Transmission Lines Based on Dynamic Receptive Field.- Identification of bird s nest hazard level of transmission line based on improved yolov5 and location constraints.- Image Magnification Network for Vessel Segmentation in OCTA Images.- CFA-Net: Cross-level Feature Fusion and Aggregation Network for Salient Object Detection.- Disentangled Feature Learning for Semi-supervised Person Re-identification.- Detection Beyond What and Where: A Benchmark for Detecting Occlusion State.- Weakly Supervised Object Localization with Noisy-Label Learning.- Enhanced Spatial Awareness For Deep Interactive Image Segmentation.- Anchor-Free Location Refinement Network for Small License Plate Detection.- Multi-View LiDAR Guided Monocular 3D Object Detection.- Dual Attention-guided Network for Anchor-free Apple Instance Segmentation in Complex Environments.- Attention-Aware Feature Distillation for Object Detection in Decompressed Images.- Cross-Stage Class-Specific Attention for Image Semantic Segmentation.- Defect Detection for High Voltage Transmission Lines Based on Deep Learning.- ORION: Orientation-Sensitive Object Detection.- An Infrared Moving Small Object Detection Method Based on Trajectory Growth.- Two-stage Object Tracking Based on Similarity Measurement for FusedFeatures of Positive and Negative Samples.- PolyTracker: Progressive Contour Regression for Multiple ObjectTracking and Segmentation.- Dual-branch Memory Network for Visual Object Tracking.- Instance-wise Contrastive Learning for Multi-Object Tracking.- Information Lossless Multi-Modal Image Generation for RGB-T Tracking.- JFT: A Robust Visual Tracker Based on Jitter Factor and Global Registration.- Caged Monkey Dataset: A New Benchmark for Caged Monkey Pose Estimation.- WTB-LLL: A Watercraft Tracking Benchmark Derived by Low-light-level Camera.- Dualray: Dual-view X-ray Security Inspection Benchmark and FusionDetection Framework.

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Book SynopsisThis book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large-scale neural models, brain–computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XXIV International Conference on Neuroinformatics, held on October 17–21, 2022, in Moscow, Russia.Table of ContentsPart I: Neuroinformatics and Artificial Intelligence.- Tree Inventory with LiDAR Data.- Towards Reliable Solar Atmospheric Parameters Neural-Based Inference.- Addressing Task Prioritization in Model-based Reinforcement Learning.- Automatic Generation of Conversational Skills from Dialog Datasets.- Part II: Neural Networks and Cognitive Sciences. Adaptive Behavior and Evolutionary Simulation.- Individual Topology Structure of Eye Movement Trajectories.- Neural Network Providing the Involvement of Voluntary Attention into the Processing and Conscious Perception of Sensory Information.- Alpha Rhythm Dynamics During Spoken Word Recognition.- Robotic Devices Control Based on Neuromorphic Classifiers of Imaginary Motor Commands.- A Software System for Training Motor Imagery in Virtual Reality.- On the Importance of Diversity.- “MYO-chat” – A New Computer Control System for People with Disabilities.- Low-bit Quantization of Transformer for Audio Speech Recognition.- A Model of Predicting and Using Regularities by an Autonomous Agent.- A Review of One-Shot Neural Architecture Search Methods.- Does a Recurrent Neural Network Use Reflection During a Reflexive Game?.- A Gender Genetic Algorithm and its Comparison with Conventional Genetic Algorithm.- Associations of Morphometric Changes of the Brain with the Levels of IGF1, a Multifunctional Growth Factor, and with Systemic Immune Parameters Reflect the Disturbances of Neuroimmune Interactions in Patients with Schizophrenia.- Part III: Modern Methods and Technologies in Neurobiology.- Dynamics of Background and Evoked Activity of Neurons in the Auditory Cortex of the Unanaesthetized Cat.- Search for Markers of Moderate Cognitive Disorders through Phase Synchronization between Rhythmic Photostimulus and EEG Pattern.- Astrocytes Enhance Image Representation Encoded in Spiking Neural Network.- Classification of Neuron Type Based on Average Activity.- Comparative Analysis of Statistical and Neural Network Classification Methods on the Example of Synthesized Data in the Stimulus-Independent Brain-Computer Interface Paradigm.- Shunting Effect of Synaptic Channels Located on Presynaptic Terminal.- Analysis of Appearances, Formation and Evolution of Biological Functional Systems.- The Reinforcement Learning Theory, Value Function, and the Nature of Value Function Calculation by the Insular Cortex.- To the Role of Inferior Olives in Cerebellar Neuromechanics.- Individual Differences in Mismatch-Induced c-Fos Expression in the Retrosplenial Cortex in Rats: Shift in Activity is Layer-Specific.- Sleep of Poor and Good Nappers under the Afternoon Exposure to Weak 2-Hz/8-Hz Electromagnetic Fields.- Part IV: Applications of Neural Networks.- Classification of Light Microscopy Image Using Probabilistic Bayesian Neural Network.- SPICE Model of Analog Content-Addressable Memory Based on 2G FeFET Crossbar.- IQ-GAN: Instance Quantized Image Synthesis.- Specifics of Crossbar Resistor Arrays.- Recurrent and Graph Neural Networks for Particle Tracking at the BM@N Experiment.- Modeling of a Neural Network Algorithm for Suppressing Non-Stationary Interference in an Adaptive Antenna Array.- Learning Various Locomotion Skills from Scratch with Deep Reinforcement Learning.- Center3dAugNet: Effect of Rotation Representation on One-Stage Joint Car Detection and 6D-Pose Estimation.- Global memory transformer for processing long documents.- Development of the Convolutional Neural Network for Defining the Renal Pathology Using Computed Tomography Images.- Possibility of Using Various Architectures of Convolutional Neural Networks in the Problem of Determining the Type of Rhythm.- DeepPavlov Topics: Topic Classification Dataset for Conversational Domain in English.- Multi-Input Convolutional Neural Networks in Real-Time Semantic Segmentation Tasks.- Integration of Data and Algorithms in Solving Inverse Problems of Spectroscopy of Solutions by Machine Learning Methods.- Investigation of Pareto Front of Neural Network Approximation of Solution of Laplace Equation in Two Statements: with Discontinuous Initial Conditions or with Measurement Data?.- Multitask learning for extensive object description to improve scene understanding on monocular video.- Use of Classification Algorithms to Predict the Grade of Geomagnetic Disturbance.- Information processing in spiking neuron-astrocyte network in ageing.- Multilingual Case-insensitive Named Entity Recognition.- Multi-level Pipeline for Data Mining with Similar Structure.- Creating a Brief Review of Judicial Practice Using Clustering Methods.- Part V: Neural Network Theory, Concepts and Architectures.- "Gas” instead of “Liquid”: which Liquid State Machine is Better?.- Using a Resistor Array to Tackle Optimization Problems.- Generative Adversarial Networks as an Approach to Unsupervised Link Prediction Problem.- DGAC: Dialog Graph AutoConstruction up on Data with a Regular Structure.- Relay System of Differential Equations with Delay as a Perceptron Model.- Analysis of Predictive Capabilities of Adaptive Multilayer Models with Physics-Based Architecture for Duffing Oscillator?.- An Attempt to Formalize the Formulation of the Network Architecture Search Problem for Convolutional Neural Networks.- Use of Conditional Variational Autoencoders and Partial Least Squares in Solving an Inverse Problem of Spectroscopy.- On the Similarities between Denoising Diffusion Models and Autoencoders.

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Book SynopsisThis book presents select papers from the 2nd EAI International Conference on Computational Intelligence and Communications (CICom 2021). The papers reveal recent advances in the broader domains of Computational Intelligence including (1) automation, control, and intelligent transportation system; (2) big data, Internet of Things, and smart cities; (3) wireless communication systems and cyber security and; (4) human/brain-computer interfaces, and image and pattern recognition. The book demonstrates complex real-world problems in which mathematical or traditional modelling are not the preferred solution and posits alternative solutions. This collection of applications demonstrates the important advances in computational intelligence. The chapters present various ideas that will benefit researchers, graduate students and engineers in this domain.Table of ContentsIntroduction.- Perception Enhancement of a Vehicle in a Bad Weather Environment.- Adaptive Backstepping-RBF Control of Lower Limb Exoskeleton.- Advances in Coyote Optimization Algorithm.- Efficient Big Data Architecture Based on Micro Service.- K Semantics for Security Policy Enforcement on Android Applications with Practical Cases.- On the Performance of MIMO Vehicular Visible Light Communications.- An Evaluation Framework for Blockchain-based Public Key Infrastructures.- Intelligent Target Cell Selection Algorithm for Low Latency 5G Networks.- Conclusion.

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Book SynopsisThis book contains the works connected with the key advances in Intelligent Information Technologies for Industry presented in the main track of IITI 2022, the Sixth International Scientific Conference on Intelligent Information Technologies for Industry held on October 31 - November 6, 2022, in Istanbul, Turkey. The works were written by the experts in the field of artificial intelligence including topics such as machine learning, decision making intelligent systems, fuzzy logic, bioinspired systems and Bayesian networks. The following industrial application domains were touched: railway automation, intelligent medical systems, flexible socio-technical systems, navigation systems and energetic systems. The editors believe that this book will be helpful for all scientists and engineers interested in the modern state of applied artificial intelligence.

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Book SynopsisThis book provides readers with peer-reviewed research papers presented at the 6th International Conference on Green Technology and Sustainable Development (GTSD) held in Nha Trang City, Vietnam, from July 29 to 30, 2022. The book is original work of researchers from academia and industry focusing on the theme “Green technology and sustainable development in Industrial Revolution 4.0” not only to raise awareness of the vital importance of sustainability in education, technology, and economic development, but also to highlight the essential roles of technology innovation for the green future. The book presents a wide range of research aspects including energy engineering, electric power systems, renewable energy systems, automatic control engineering, robotics, vehicle engineering, material engineering, construction engineering, mechanical engineering, vibrations, computational analysis, numerical investigation, system failure, technological solutions in health care, and so on. Through thorough research basing on both experimental and numerical methods, the authors feature either solutions for existing problems or optimization and improvement for performance of existing methods. The collected research results could be useful alternatives and implications for industry experts, research institutions, universities, and all others who share a common interest in the future global sustainable development.

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Book SynopsisThis book offers a comprehensive review of smart technologies and perspectives on their application in urban engineering. It covers a wide range of applications, from transport and energy management to digital manufacturing, smart city, environment, and sustainable development, providing readers with new ideas for future research and collaborations. This book presents select papers from the International Conference on Smart Technologies in Urban Engineering (STUE-2022), held to commemorate the 100th anniversary of the O.M. Beketov National University of Urban Economy in Kharkiv, Ukraine, on June 9–11, 2022. All the contributions offer plenty of valuable information and would be of great benefit to the experience exchange among scientists in urban engineering.

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Book SynopsisThis book is a collection of papers presented during the 8th World Conference on Soft Computing in February 2022. The papers cover multiple areas important for soft computing. Some papers are dedicated to fundamental aspects of soft computing, i.e., fuzzy mathematics, type-2 fuzzy sets, evolutionary-based optimization, aggregation, and neural networks. Others emphasize the application of soft computing methods to data analysis, image processing, decision-making, classification, series prediction, economics, control, and modeling.Table of ContentsPart 1. Soft Computing and Fuzzy Logic.- 1. Lotfi A. Zadeh’s Life and His Scientific Legacy.- 2. From Fuzzy Optimization to Possibilistic-Probabilistic Optimization with our Teacher Professor Lotfi Zadeh.- 3. Ideas of Lotfi Zadeh in Explainable Artificial Intelligence.- 4. Different Concepts, Similar Computational Complexity: Nguyen’s Results about Fuzzy and Interval Computations 35 Years.

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Book SynopsisThis book provides an opportunity for researchers, scientists, government officials, strategist and operators and maintainers of large, complex and advanced systems and infrastructure to update their knowledge with the state of best practice in the challenging domains whilst networking with the leading representatives, researchers and solution providers. The ongoing pandemic has created a new level of threats which presents new challenges around privacy, data protection, malicious application, unprotected networks or networks with basic protection that are being used as a gateway to larger infrastructure with complicated architecture, and unintentional misuse such as those associated with algorithmic bias. All these have increased the number of attack vectors that can be used to attack such networks. Drawing on 13 years of successful events on information security, digital forensics and cyber-crime, the 14th ICGS3-22 conference aims to provide attendees with an information-packed agenda with representatives from across the industry and the globe. The challenges of complexity, rapid pace of change and risk/opportunity issues associated with modern products, systems, special events and infrastructures. In an era of unprecedented volatile, political and economic environment across the world, computer-based systems face ever more increasing challenges, disputes and responsibilities, and whilst the Internet has created a global platform for the exchange of ideas, goods and services, it has also created boundless opportunities for cyber-crime. This volume presents new materials and contribute to knowledge through the technological advances that are being made across artificial intelligence (AI), machine learning, blockchain and quantum computing. These technologies driven by a digital revolution are expected to be disruptive and provide major digital transformation in the way societies operate today. As result, although these advances provide social and economic benefits, but, also, provide new challenges that security industry need to raise their game to combat them.Table of Contents1. Cyber Defence.- 2. Cyber Intelligence and Operation.- 3. Cyber Criminology.- 4. Ethics in Smart and AI driven societies.- 5. Information Systems Security Management.- 6. Digital Forensics investigation.

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Book SynopsisThis book constitutes the proceedings of the 13th International Conference on Swarm Intelligence, ANTS 2022, held in Málaga, Spain, in November 2022. The 19 full papers presented, together with 14 short papers and 4 extended abstracts were carefully reviewed and selected from 45 submissions. ANTS 2022 contributions are dealing with any aspect of swarm intelligence such as behavioral models of social insects, empirical and theoretical research in swarm intelligence, application of swarm intelligence methods, and much more.Table of ContentsA Geometry-Sensitive Quorum Sensing Algorithm for the Best-of-N Site Selection Problem.- An Approach Based on Particle Swarm Optimization for Inspection of Spacecraft Hulls by a Swarm of Miniaturized Robots.- Automatic Design of Multi-Objective Particle Swarm Optimizers.- Automatic Extraction of Understandable Controllers from Video Observations of Swarm Behaviors.- Benchmarking Performances of Collective Decision-making Strategies with Respect to Communication Bandwidths in Discrete Collective Estimation.- Best-of-N Collective Decisions on a Hierarchy.- Collective Decision-making for Conflict Resolution in Multi-Agent Pathfinding.- Controlling Robot Swarm Aggregation through a Minority of Informed Robots.- Decentralized Multi-Agent Path Finding in Warehouse Environments for Fleets of Mobile Robots with Limited Communication Range.- Decomposition and Merging Co-operative Particle Swarm Optimization with Random Grouping.- Dynamic Spatial Guided Multi-Guide Particle Swarm Optimization Algorithm for Many-Objective Optimization.- Extracting Symbolic Models of Collective Behaviors with Graph Neural Networks and Macro-Micro Evolution.- Learning Resilient Swarm Behaviors via Ongoing Evolution.- Mind the Gap! Predictive Flocking of Aerial Robot Swarm in Cluttered Environments.- Moving Mixtures of Active and Passive Elements with Robots That Do Not Compute.- Real-time Coordination of a Foraging Robot Swarm Using Blockchain Smart Contracts.- Robot Swarms Break Decision Deadlocks in Collective Perception through Cross-inhibition.- Self-Organized Chain Formation of Nano-Drones in an Open Space.- The Hidden Benefits of Limited Communication and Slow Sensing in Collective Monitoring of Dynamic Environments.- A Novel Time-of-Flight Range and Bearing Sensor System for Micro Air Vehicle Swarms.- An Adaptive Metric Model for Collective Motion Structures in Dynamic Environments.- An Extension of the iMOACOR Algorithm Based on Layer-Set Selection.- Binary Particle Swarm Optimization for Selective Cell Switch-Off in Ultra-Dense 5G Networks.- Choeur Synth´etique: an Art Installation Based on Swarm Robotics.- Component Swarm Optimization using Virtual Forces for Solving Layout Problems.- Constant Bearing Flocking.- Distributed Sorting in Complex Environments.- Effect of Different Communication Affordances on the Emergence of Collaboration Strategies in an Online Multiplayer Game.- Generating and Analyzing Collective Step-climbing Behavior in a Multi-legged Robotic Swarm.- Modeling Immune Search through the Lymphatic Network.- Optimization of a Self-organized Collective Motion in a Robotic Swarm.- Response Threshold Distributions to Improve Best-of-N Decisions in Minimalistic Robot Swarms.- Stability-Guided Particle Swarm Optimization.- Animals Are Not Particles: Towards a Second Generation of ‘Hetero-Swarm’ Robotics.- Applying PSO to Find Optimal Strategy for 3D Chip Layout Design.- Particle Swarm Optimization Applied to the Direct Aperture Optimization Problem on Radiotherapy.- Search Space Illumination of Robot Swarm Parameters for Trustworthiness.

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Book SynopsisThis volume constitutes the proceedings of the 28th International Conference on Collaboration Technologies and Social Computing, CollabTech 2022, held in Santiago, Chile during November 8–11, 2022. The 18 full and 4 work-in-process papers presented in this volume were selected from 37 submissions and underwent careful double-blind peer review. The papers focus on innovative technical, human and organizational approaches to expand collaboration support including computer science, management science, design science, cognitive and social science.Table of ContentsAnalyzing human aspects in software development A systematic mapping study.- Effects of Debriefing in Computer-Supported Collaborative Learning Pyramid Scripts with open-ended task.- The Effect of Pair Programming on Code Maintainability.- Relevant Knowledge Use During Collaborative Explanation Activities: Investigation by Laboratory Experiment, and Computer Simulation Using ACT-R.- Does volunteer engagement pay off? An analysis of user participation in online Citizen Science projects.- Effects of Digital Avatar Robots on perceived social presence and copresence in business meetings between the managers and their coworkers.- Presentation Method for Conveying Nonverbal Information in Online Conference Presentations with a Virtual Stage.- Kano Model-Based Macro and Micro Shift in Feature Perception of Short-Term Online Courses.- Glow-mind: an input/output web system for sharing feelings by pressing a button.- Support by Visually Impaired: A Proposal for a System to Present Walkability on Maps Using White Cane Data.- How Teacher Education Students Collaborate when Solving an Asymmetric Digital Task.- Using process mining techniques to discover the collective behaviour of educators in a learning community platform.- Collaborative Community Knowledge Building with Personalized Question Recommendations.- Evaluating an adaptive intervention in collaboration scripts deconstructing body image narratives in a social media educational platform.- Students’ basic psychological needs satisfaction at the interface level of a computer-supported collaborative learning tool.- Facilitator Agent to Support Low-resource Language Speakers In MT Mediated Communication.- Towards Implementing Collaborative Learning in Remote Teaching Scenarios.- Scaffolding of Intuitionist Ethical Reasoning with Groupware: Do students’ stances change in different countries?.- Development of Toys for Determining Behavioral Imitation during Parent-Child Interactions.- Estimating peer evaluation potential by utilizing learner model during group work.- Scenario for analysing student interactions and orchestration load in collaborative and hybrid learning environments.- Implicit HCI for Geocollaborative Hyperstories Creation.

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Book SynopsisThis book constitutes the proceedings of the 16th Chinese Conference on Biometric Recognition, CCBR 2022, which took place in Beijing, China, in November 2022.The 70 papers presented in this volume were carefully reviewed and selected from 115 submissions. The papers cover a wide range of topics such as Fingerprint, Palmprint and Vein Recognition; Face Detection, Recognition and Tracking; Gesture and Action Recognition; Affective Computing and Human-Computer Interface; Speaker and Speech Recognition; Gait, Iris and Other Biometrics; Multi-modal Biometric Recognition and Fusion; Quality Evaluation and Enhancement of Biometric Signals; Animal Biometrics; Trustworthy, Privacy and Personal Data Security; Medical and Other Applications.Table of ContentsFingerprint, Palmprint and Vein Recognition.- A Finger BiModal Fusion Algorithm based on Improved DenseNet.- A lightweight segmentation network based on extraction.- A novel multi-layered minutiae extractor based on OCT fingerprints.- An overview and forecast of biometric recognition technology used in forensic science.- Combining Band-Limited OTSDF Filter and Directional Representation for Palmprint Recognition.- Cross-Dataset Image Matching Network for Heterogeneous Palmprint Recognition.- DUAL MODE NEAR-INFRARED SCANNER FOR IMAGING DORSAL HAND VEINS.- Multi-Stream Convolutional Neural Networks Fusion for Palmprint Recognition.- Multi-view Finger Vein Recognition using Attention-based MVCNN.- SELECTIVE DETAIL ENHANCEMENT ALGORITHM FOR FINGER VEIN IMAGES.- SP-FVR: SuperPoint-based Finger Vein Recognition.- TransFinger: Transformer based Finger Tri-modal Biometrics.- Face Detection, Recognition and Tracking.- A Survey of Domain Generalization-based Face Anti-spoofing.- An Empirical Comparative Analysis of Africans with Asians using DCNN Facial Biometric Models.- Disentanglement of Deep Features for Adversarial Face Detection.- Estimation of Gaze-Following Based on Transformer and the Guiding Offset.- Learning Optimal Transport Mapping of Joint Distribution for Cross-Scenario Face Anti-Spooffing.- MLFW: A Database for Face Recognition on Masked Faces.- Multi-scale object detection algorithm based on adaptive feature fusion.- Sparsity-Regularized Geometric Mean Metric Learning for Kinship Verification.- YoloMask: An Enhanced YOLO Model for Detection of Face Mask Wearing Normality, Irregularity and Spoofing.- Gesture and Action Recognition.- Adaptive Joint Interdependency Learning for 2D Occluded Hand Pose Estimation.- Contrastive and Consistent Learning for Unsupervised Human Parsing.- Dynamic Hand Gesture Authentication Based on Improved Two-stream CNN.- Efficient Video Understanding-based Random Hand Gesture Authentication.- Multidimension Joint Networks for Action Recognition.- Multi-Level Temporal-Guided Graph Convolutional Networks for Skeleton-Based Action Recognition.- Research on Gesture Recognition of Surface EMG Based on Machine Learning.- Affective Computing and Human-Computer Interface.- Adaptive Enhanced Micro-expression Spotting Network based on Multi-stage Features Extraction.- Augmented Feature Representation with Parallel Convolution for Cross-domain Facial Expression Recognition.- Hemispheric Asymmetry Measurement Network for Emotion Classification.- Human Action Recognition Algorithm of Non-Local Two-Stream Convolution Network Based on Image Depth Flow.- Synthetic Feature Generative Adversarial Network for Motor Imagery Classification: Create Feature from Sampled Data.- Speaker and Speech Recognition.- An End-to-end Conformer-based Speech Recognition Model for Mandarin Radiotelephony Communications in Civil Aviation.- ATRemix: An Auto-Tune Remix Dataset for Singer Recognition.- Low-resource speech keyword search based on residual neural network.- Online Neural Speaker Diarization with Core Samples.- Pose-unconstrainted 3D Lip Behaviometrics via Unsupervised Symmetry Correction.- Virtual Fully-Connected Layer for a Large-Scale Speaker Verification Dataset.- Gait, Iris and Other Biometrics.- A Simple Convolutional Neural Network for Small Sample Multi-lingual Offline Handwritten Signature Recognition.- Attention Skip Connection Dense Network for Accurate Iris Segmentation.- Gait Recognition with Various Data Modalities: A Review.- INCREMENTAL EEG BIOMETRIC RECOGNITION BASED ON EEG RELATION NETWORK.- Salient Foreground-Aware Network for Person Search.- Shoe print retrieval algorithm based on improved ecientnetV2.- Multi-modal Biometric Recognition and Fusion.- A novel dual-modal biometric recognition method based on weighted joint group sparse representation classification.- FINGER TRIMODAL FEATURES CODING FUSION METHOD.- Fusion of Gait and Face for Human Identification at the Feature Level.- Gait Recognition in Sensing Insoles: a study based on a Hybrid CNN-Attention-LSTM Network.- Identity Authentication Using a Multimodal Sensing Insole a Feasibility Study.- MDF-Net: Multimodal Deep Fusion for Large-scale Product Recognition.- Survey on Deep Learning based Fusion Recognition of Multimodal Biometrics.- Synthesizing Talking Face Videos with a Spatial Attention Mechanism.- Quality Evaluation and Enhancement of Biometric Signals.- Blind Perceptual Quality Assessment for Single Image Motion Deblurring.- Low-illumination Palmprint Image Enhancement Method Based On U-Net Neural Network.- Texture-guided multiscale feature learning network for palmprint image quality assessment.- Animal Biometrics.- An Adaptive Weight Joint Loss Optimization For Dog Face Recognition.- Improved YOLOv5 for Dense Wildlife Object Detection.- Self-Attention based Cross-level Fusion Network for Camou aged Object Detection.- Trustyworth, Privacy and Persondal Data Security.- Face Forgery Detection by Multi-dimensional Image Decomposition.- IrisGuard: Image Forgery Detection for Iris Anti-spooffing.- Multi-branch network with circle loss using voice conversion and channel robust data augmentation for synthetic speech detection.- Spoof Speech Detection Based on Raw Cross-dimension Interaction Attention Network.- Medical and Other Applications.- A Deformable Convolution Encoder with Multi-Scale Attention Fusion Mechanism for Classification of Brain Tumor MRI Images.- GI Tract Lesion Classification Using Multi-task Capsule Networks with Hierarchical Convolutional Layers.- Grading Diagnosis of Sacroiliitis in CT Scans Based on Radiomics and Deep Learning.- Noninvasive blood pressure waveform measurement method based on CNN-LSTM.- Recurrence Quantification Analysis of Cardiovascular System During Cardiopulmonary Resuscitation.- UAV AERIAL PHOTOGRAPHY TRAFFIC OBJECT DETECTION BASED ON LIGHTWEIGHT DESIGN AND FEATURE FUSION.- UMixer: A novel U-shaped convolutional mixer for multi-scale feature fusion in Medical Image Segmentation.

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Book SynopsisThis book consists of papers on the recent progresses in the state of the art in natural computation, fuzzy systems, and knowledge discovery. The book is useful for researchers, including professors, graduate students, as well as R & D staff in the industry, with a general interest in natural computation, fuzzy systems, and knowledge discovery. The work printed in this book was presented at the 2022 18th International Conference on Natural Computation, Fuzzy Systems, and Knowledge Discovery (ICNC-FSKD 2022), held from 30 July to 1 August 2022, in Fuzhou, China. All papers were rigorously peer-reviewed by experts in the areas.Table of ContentsMultiple Layers Global Average Pooling Fusion.- Han Dynasty Clothing Image Classification Model Based on KNN-Attention and CNN.- Self-attention SSD Network Detection Method of X-ray Security Images.- Cross Architecture Function Similarity Detection with Binary Lifting and Neural Metric Learning.- Pain Expression Recognition Based on Dual-channel Convolutional Neural Network.- A Noval Air Quality Index Prediction Scheme Based On Long Short-Term Memory Technology.- Code Summarization through Learning Linearized AST Paths with Transformer.- Function Level Cross-Modal Code Similarity Detection with Jointly Trained Deep Encoders.- Ease Solidity Smart Contract Compilation through Version Pragma Identification.- Towards Robust Similarity Detection of Smart Contracts with Masked Language Modelling.- DeSG: Towards Generating Valid Solidity Smart Contracts with Deep Learning.- Combining AST Segmentation and Deep Semantic Extraction for Function Level Vulnerability Detection.- A Novel Variational-Mode-Decomposition-Based Long Short-Term Memory for Foreign Exchange Prediction.

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

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

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Book SynopsisThis three-volume set, LNAI 13629, LNAI 13630, and LNAI 13631 constitutes the thoroughly refereed proceedings of the 19th Pacific Rim Conference on Artificial Intelligence, PRICAI 2022, held in Shangai, China, in November 10–13, 2022.The 91 full papers and 39 short papers presented in these volumes were carefully reviewed and selected from 432 submissions. PRICAI covers a wide range of topics in the areas of social and economic importance for countries in the Pacific Rim: artificial intelligence, machine learning, natural language processing, knowledge representation and reasoning, planning and scheduling, computer vision, distributed artificial intelligence, search methodologies, etc.Table of ContentsRecommender System.- Mixture of Graph Enhanced Expert Networks for Multi-task Recommendation.- MF-TagRec: Multi-feature fused tag recommendation for GitHub.- Co-contrastive Learning for Multi-behavior Recommendation.- Pattern Matching and Information-aware between Reviews and Ratings for Recommendation.- Cross-view Contrastive Learning for Knowledge-aware Session-based Recommendation.- Reinforcement Learning.- HiSA: Facilitating Efficient Multi-Agent Coordination and Cooperation by Hierarchical Policy with Shared Attention.- DDMA: Discrepancy-Driven Multi-Agent Reinforcement Learning.- PRAG: Periodic Regularized Action Gradient for Efficient Continuous Control.- Identifying Multiple Influential Nodes for Complex Networks based on Multi-Agent Deep Reinforcement Learning.- Online Learning in Iterated Prisoner’s Dilemma to Mimic Human Behavior.- Optimizing Exploration-Exploitation Trade-off in Continuous Action Spaces via Q-ensemble.- Hidden Information General Game Playing With Deep Learning and Search.- Sequential Decision Making with “Sequential Information” in Deep Reinforcement Learning.- Two-Stream Communication-Efficient Federated Pruning Network.- Strong General AI.- Multi-scale Lightweight Neural Network for Real-time Object Detection.- Hyperspectral Image Classification Based On Transformer and Generative Adversarial Network.- Deliberation Selector for Knowledge-grounded Conversation Generation.- Training a Lightweight ViT Network for Image Retrieval.- Vision and Perception.- Segmented–original Image Pairs to Facilitate Feature Extraction in Deep Learning Models.- FusionSeg: Motion Segmentation by Jointly Exploiting Frames and Events.- Weakly-supervised Temporal Action Localization with Multi-head Cross-modal Attention.- CrGAN: Continuous Rendering of Image Style.- DPCN: Dual Path Convolutional Network for Single Image Deraining.- All Up to You: Controllable Video Captioning With a Masked Scene Graph.- A Multi-Head Convolutional Neural Network With Multi-path Attention improves Image Denoising.- Learning Spatial Fusion and Matching for Visual Object Tracking.- Lightweight Wavelet-based Transformer for Image Super-resolution.- Efficient high-resolution human pose estimation.- The Geometry Enhanced Deep Implicit Function based 3D Reconstruction for objects in a real-scene image.- Multi-View Stereo Network with Attention Thin Volume.- 3D Point Cloud Segmentation Leveraging Global 2D-view Features.- Self-Supervised Indoor 360-Degree Depth Estimation via Structural Regularization.- Global Boundary Refinement for Semantic Segmentation via Optimal Transport.- Optimization-based Predictive Approach for On-Demand Transportation.- Joint Contrast: Skeleton-based Mutual Action Recognition with Contrastive Learning.- Nested Multi-Axis Learning Network for Single Image Super Resolution.- Efficient Scale Divide and Conquer Network for Object Detection.- Video-Based Emotion Recognition in the Wild for Online Education Systems.- Real-world Underwater Image Enhancement via Degradation-aware Dynamic Network.- Self-Supervised Vision Transformer based Nearest Neighbor Classification for Multi-Source Open-Set Domain Adaptation.- Lightweight image dehazing neural network model based on estimating medium transmission map by intensity.- CMNet: Cross-aggregation Multi-branch Network for Salient Object Detection.- More than Accuracy: an Empirical Study of Consistency between Performance and Interpretability.- Object-scale Adaptive Optical Flow Estimation Network.- A Task-aware Dual Similarity Network for Fine-grained Few-shot Learning.- Rotating Target Detection Based On Lightweight Network.- Corner Detection Based on a Dynamic Measure of Cornerity.

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Book SynopsisThis book gathers the peer-reviewed proceedings of the 15th Annual Meeting of the Bulgarian Section of the Society for Industrial and Applied Mathematics, BGSIAM'20, held in Sofia, Bulgaria. The general theme of BGSIAM'20 was industrial and applied mathematics with particular focus on mathematical physics, numerical analysis, high-performance computing, optimization and control, mathematical biology, stochastic modeling, machine learning, digitization and imaging, advanced computing in environmental, and biomedical and engineering applications.Table of ContentsVera Angelova, Sensitivity of the nonlinear matrix equation.- Adjoint State Optimization Algorithm for Prediction of Honeybee Population Losses.- Study of time series connected to an innovative window heat transfer system.- Coefficient Identification for SEIR Model and Economic Forecasting in the Propagation of COVID–19.- Recovering the Time-Dependent Volatility and Interest Rate in European Options from Nonlocal Price Measurements by Adjoint Equation Optimization.- Comparison of four classification methods on small-sample-size synthetic RNA-seq data.- Sensitivity Analysis of a Large-Scale Air Pollution Model by Using Effective Stochastic Approaches.- Two-Way Intuitionistic Fuzzy Analysis of Variance for COVID-19 Cases in Europe by Season and Location Factors.- A Generic Nonlinear Evolution Equation of Magnetic Type I. Reductions.

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Book SynopsisThis book highlights cutting-edge research in the field of network science, offering scientists, researchers, students, and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the XI International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2022). The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, network dynamics; diffusion, epidemics, and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks and technological networks.Table of ContentsPart I: Information Spreading in Social Media.- Cognitive Cascades within Media Ecosystems: Simulating Fragmentation, Selective Exposure and Media Tactics to Investigate Polarization.- Properties of Reddit News Topical Interactions.- Will You Take the Knee? Italian Twitter Echo Chambers’ Genesis during EURO 2020.- A simple model of knowledge scaffolding.- Using knowledge graphs to detect partisanship in online political discourse.- The wisdom_of_crowds: an efficient, philosophically-validated, social epistemological network profiling toolkit.- Opening up echo chambers via optimal content recommendation.- Change my Mind: Data Driven Estimate of Open-Mindedness from Political Discussions.- The effects of message sorting in the diffusion of information in online social media.- Gradual Network Sparsification and Georeferencing for Location-Aware Event Detection in Microblogging Services.- Manipulation during the French presidential campaign : Coordinated inauthentic behaviors and astroturfing analysis on text and images.- Part II: Modeling Human Behavior.- Lexical networks constructed to correspond students’ short written responses: A quantum semantic approach.- Attributed Stream-Hypernetwork analysis: Homophilic Behaviors in Pairwise and Group Political Discussions on Reddit.- Individual Fairness for Social Media Influencers.- Multidimensional online American politics: Mining emergent social cleavages in social graphs.- Classical and quantum random walks to identify leaders in criminal networks.- Random walk for generalization in goal-directed human navigation on Wikipedia.- Sometimes Less is More: When Aggregating Networks Masks Effects.- An Adaptive Network Model Simulating the Effects of Different Culture Types and Leader Qualities on Mistake Handling and Organisational Learning.- Part III: Biological Networks.- Modeling of Hardy-Weinberg Equilibrium using dynamic random networks in an ABM framework.- IntegrOmics: A computational Framework to analyze RNA-Seq and Methylation data through heterogeneous multi-layer networks.- A Network-based Approach for Inferring Thresholds in Co-expression Networks.- Building Differential Co-expression Networks with Variable Selection and Regularization.- Inferring probabilistic Boolean networks from steady-state gene data samples.- Quantifying High-Order Interactions in Complex Physiological Networks: a frequency-specific approach.- A Novel Reverse Engineering Approach for Gene Regulatory Networks.- Using the Duplication-Divergence Network Model to Predict Protein-Protein Interactions.- Part IV: Machine Learning and Networks.- SignedS2V: structural embedding method for signed networks.- HM-LDM: A Hybrid-Membership Latent Distance Model.- The Structure of Interdisciplinary Science: Uncovering and Explaining Roles in Citation Graphs.- Inferring Parsimonious Coupling Statistics in Nonlinear Dynamics with Variational Gaussian Processes.- Detection of Sparsity in Multidimensional Data Using Network Degree Distribution and Improved Supervised Learning with Correction of Data Weighting.- Network Structure vs Chemical Information in Drug-Drug Interaction Prediction.- Geometric Deep Learning graph pruning to speed-up the run-time of Maximum Clique Enumerarion algorithms.- Graph Mining and Machine Learning for Shader Codes Analysis to Accelerate GPU Tuning.- Part V: Networks in Finance and Economics.- Pattern Analysis of Money Flows in the Bitcoin Blockchain.- On the Empirical Association between Trade Network Complexity and Global Gross Domestic Product.- Measuring the Stability of Technical Cooperation Network Based on the Nested Structure Theory.- Dynamic transition graph for estimating the predictability of financial and economical processes.- A network analysis of world trade structural changes (1996-2019).- Green Sector Space: The evolution and capabilities spillover of economic green sectors in the United States.- Statistical inference of lead-lag between asynchronous time series from p-values of transfer entropy at various timescales.- Part VI: Networks and Mobility.- Extracting Metro Passenger Flow Predictors from Network’s Complex Characteristics.- Estimating Peak-Hour Urban Traffic Congestion.- Adaptive Routing Potential in Road Networks.- Part VII: Diffusion and Epidemics.- Detecting Global Community Structure in a COVID-19 Activity Correlation Network.- Overcoming vaccine hesitancy by multiplex social network targeting.- Analyzing Community-aware Centrality Measures Using The Independent Cascade Model.- Paths for emergence of superspreaders in dengue fever spreading network.- Part VIII: Multilayer Networks.- Structural Cores and Problems of Vulnerability of Partially Overlapped Multilayer Networks.- Multilayer Block Models for Exploratory Analysis of Computer Event Logs.- On the Effectiveness of Using Link Weights and Link Direction for Community Detection in Multilayer Networks.

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Book SynopsisThis book introduces and presents the newest up-to-date methods, approaches and technologies on how to detect child cyberbullying on social media as well as monitor kids E-learning, monitor games designed and social media activities for kids. On a daily basis, children are exposed to harmful content online. There have been many attempts to resolve this issue by conducting methods based on rating and ranking as well as reviewing comments to show the relevancy of these videos to children; unfortunately, there still remains a lack of supervision on videos dedicated to kids. This book also introduces a new algorithm for content analysis against harmful information for kids. Furthermore, it establishes the goal to track useful information of kids and institutes detection of kid’s textual aggression through methods of machine and deep learning and natural language processing for a safer space for children on social media and online and to combat problems, such as lack of supervision, cyberbullying, kid’s exposure to harmful content. This book is beneficial to postgraduate students and researchers' concerns on recent methods and approaches to kids' cybersecurity.Table of ContentsPart 1: State-of-the-art.- Everyday Cyber Safety for Students.- Machine Learning Approaches for Kids’ E-learning Monitoring.- Factors influencing on online education outcomes– an empirical study based on Kids’ parents.- Review on the Social Media Management Techniques against kids Harmful Information.- Review of Information Security Management Frameworks.- Database Forensics Field and Children Crimes.- From exhibitionism to addiction, or cyber threats among children and adolescents.- Part II: Cyberbullying and Kids cyber security.- Protection of Users Kids on Twitter Platform using Naïve Bayes.- The Impact of Fake News Spread on Social Media on The Children in Indonesia During Covid-19.- A Preventive Approach to Weapons Detection for Children Using Quantum Deep Learning.- Learning Arabic for Kids online Using Google Classroom.- Child Emotion Recognition Via Custom Lightweight CNN Architecture.- Cybercrime Sentimental Analysis for Child YouTube Video Dataset Using Hybrid Support Vector Machine With Ant Colony Optimization Algorithm.- Cyberbullying Awareness Through Sentiment Analysis Based On Twitter.- The Impact of Fake News on Kid’s Life from the Holy Al-Qur'an Perspective.- Early Prediction of Dyslexia Risk Factors in Kids through Machine Learning Techniques.- Development of Metamodel for Information Security Risk Management.- Detecting Kids Cyberbullying Using Transfer Learning Approach from Transformer Fine-Tuning Models.- YouTube Sentiment Analysis: Performance Model Evaluation.

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Book SynopsisThis book presents the latest research on software engineering application in informatics. The fields of software engineering, informatics, computer science, and artificial intelligence are critical for study in the intelligent systems issue space. This is the first part of the refereed proceedings of the 6th Computational Methods in Systems and Software 2022 (CoMeSySo 2022). The CoMeSySo 2022 conference, which is being hosted online, is breaking down barriers. CoMeSySo 2021 aims to provide a worldwide venue for debate of the most recent high-quality research findings.

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Book SynopsisThis book offers real-world data science and algorithm design topics linked to systems and software engineering. Furthermore, articles describing unique techniques in data science, algorithm design, and systems and software engineering are featured. This book is the second part of the refereed proceedings of the 6th Computational Methods in Systems and Software 2022 (CoMeSySo 2022). The CoMeSySo 2022 conference, which is being hosted online, is breaking down barriers. CoMeSySo 2022 aims to provide a worldwide venue for debate of the most recent high-quality research findings.

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Book SynopsisNew technologies provide us with new opportunities to create new learning experiences, leveraging research from a variety of disciplines along with imagination and creativity. The Learning Ideas Conference was created to bring researchers, practitioners, and others together to discuss, innovate, and create. The Learning Ideas Conference 2022 was the 15th annual conference and was the first time the conference was held as a hybrid event. The conference took place from June 15 to 17, 2022, both in New York and online, and included two special tracks: The Adaptive Learning via Interactive, Collaborative and Emotional Approaches (ALICE) Special Track and a track on Inclusive Learning. Topics covered in this book include, among others, online learning methodologies, diversity and inclusion in learning, case studies in university and corporate settings, new technologies in learning (such as virtual reality, augmented reality, holograms, and artificial intelligence), adaptive learning, and project-based learning. The papers included in this book are of interest to researchers in pedagogy and learning theory, university faculty members and administrators, learning and development specialists, user experience designers, and others.Table of ContentsCyEd: A Cyberinfrastructure for Computer Education.- Socio-Affective Profiles in Virtual Learning Environments: Using Learning Analytics.- Adaptive Scaffolding Toward Transdisciplinary Collaboration: Reflective Polyvocal Self-study.- Emergency Remote Teaching: A Case Study.- Cascades of Concepts of Virtual Time Travel Games for the Training of Industrial Accident Prevention.- Emotional Intelligence: A Journey Inside the Emotional Life within an Immersive Interactive Setting .- Creating Affective Collaborative Adult Teams and Groups Guided by Spiral Dynamic Theory.- Experiential Learning in Digital Contexts – A Case Study.- Models and Methods of Online Team Teaching.- Implementation of a Talent Development Program in Higher Education.- The Use of Indie4all Platform for Visually Impaired Students on the Acquisition of Learning Objects with Computational Thinking Practices in Μusic, Math and Physics.

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Book Synopsis“IAS has been held every two years since 1986 providing venue for the latest accomplishments and innovations in advanced intelligent autonomous systems. New technologies and application domains continuously pose new challenges to be overcome in order to apply intelligent autonomous systems in a reliable and user-independent way in areas ranging from industrial applications to professional service and household domains. The present book contains the papers presented at the 17th International Conference on Intelligent Autonomous Systems (IAS-17), which was held from June 13–16, 2022, in Zagreb, Croatia. In our view, 62 papers, authored by 196 authors from 19 countries, are a testimony to the appeal of the conference considering travel restrictions imposed by the COVID-19 pandemic. Our special thanks go to the authors and the reviewers for their effort—the results of their joint work are visible in this book. We look forward to seeing you at IAS-18 in 2023 in Suwon, South Korea!”

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Book SynopsisThis book presents the latest research on Ambient Intelligence including software and applications. Ambient Intelligence (AmI) is a paradigm emerging from Artificial Intelligence, where computers are used as proactive tools assisting people with their day-to-day activities, making everyone’s life more comfortable. The inclusion of computational power and communication technologies in everyday objects is growing, and their embedding into our environments should be as invisible as possible. In order for AmI to be successful, human interaction with computing power and embedded systems in the surroundings should be smooth and happen without people actually noticing it. The only awareness people should have arises from AmI: more safety, comfort and wellbeing, emerging in a natural and inherent way. ISAmI is the International Symposium on Ambient Intelligence, aiming to bring together researchers from various disciplines that constitute the scientific field of AmI to present and discuss the latest results, new ideas, projects and lessons learned.

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Book SynopsisThis book presents many valuable tips for making decisions related to traffic flow in transport networks. The knowledge base in practical examples, as well as the decision support systems described in this book, finds interest among people who face the daily challenge of searching for advanced solutions and practical applications in road traffic engineering. The publication is therefore addressed to local authorities related to the planning and development of development strategies for selected areas with regard to transport (both in the urban and regional dimension) and to representatives of business and industry, as people directly involved in the implementation of traffic engineering solutions.The publication contains selected papers submitted to and presented at the 18th “Transport Systems. Theory and Practice” Scientific and Technical Conference organized by the Department of Transport Systems, Traffic Engineering and Logistics at the Faculty of Transport and Aviation Engineering at the Silesian University of Technology. The conference took place on September 19-20, 2022, in Katowice (Poland).

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Book SynopsisThis proceedings book contains research papers that are accepted for presentation at the 16th International Conference on Interdisciplinarity in Engineering—INTER-ENG 2022, which is held on 6–7 October 2022, in the city of Târgu Mureș, Romania. The general scope of the conference "Innovative aspects of Industry 4.0" concepts aims at consolidating the digital future of manufacturing in companies" is propsing a new approach related to the development of a new generation of smart factories grounded on the manufacturing and assembly process digitalization. It is related to advance manufacturing technology, lean manufacturing, sustainable manufacturing, additive manufacturing, manufacturing tools and equipment. It is a leading international professional and scientific forum of great interest for engineers and scientists who can read in this book research works contributions and recent developments as well as current practices in advanced fields of engineering.

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Book SynopsisThis book presents new trends to optimize e-Government in various contexts. It aims to highlight new methods and approaches that unveil the potential of data for public services. The book also illustrates how public services can be mathematically modeled with many case studies. Then, algorithms are proposed to optimize their functioning and to better contribute to the general interest, such as education, health care, safety, security, or culture. The book also focuses on protecting citizens' personal data and obtaining their explicit consent. The book is suitable for students and academics aiming to build up their background on the usage of data and algorithms through various techniques, including artificial intelligence. The book is used as a reference book for teaching a graduate course on e-Government, Process Modeling, or Artificial Intelligence. Besides its use in academia, this book is used by civil servants of every domain and citizens who aim to understand the ongoing modernization of public services.Table of ContentsConceptual Model and Data algorithm for Modernization of E-governance towards Sustainable E-Government Services.- E-School Initiatives that Instigated the Digital Transformation of Education: A Case Study according to SABER-ICT Framework.- New Architecture to facilitate the expansion of E-Government.- Struggling against tax fraud, a holistic approach using artificial intelligence.- e-Government and Green IT: the intersection point.- Machine Learning Technique for Predicting the Rural Citizens’ Trust on using E-Governance Health Care Applications during COVID-19.- Artificial Intelligence (AI) Use for e-Governance in Agriculture: Exploring the Bioeconomy Landscape.- Enhancing government actions against Covid-19 using computer science.- From paper to digital: e-government's evolution and pitfalls in Brazil.- The role of public libraries in improving public literacy through Twitter social media in Indonesia.

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Book SynopsisThis book contains seventeen contributions in the form of independent chapters, covering a broad range of topics related to human–robot interaction at physical and cognitive levels. Each chapter represents a novel piece of work presented during HFR 2022 by researchers in the different areas of robotics, where new theories, methodologies, technologies, challenges, and empirical and experimental studies are discussed. Additionally, this compilation is rich in viewpoints due to the multidisciplinary nature of its authors. Hence, this book represents an excellent opportunity for academics, researchers, and industry partners to get acquainted with the most recent work on human–robot interaction.Table of ContentsA Literature-Based Perspective on Human-Centered Design and Evaluation of Interfaces for Virtual Reality in Robotics.- A Multi-Modal Feedback Communication Interface for Human Working Posture Adjustments.- An Optimal Human-Based Control Approach for Mobile Human-Robot Collaboration.- Approximating Robot Reachable Space Using Convex Polytopes.- Complexity and Similarity Metrics for Unsupervised Identification of Programming Methods for Robot Cooking Tasks.- Damping Design for Robot Manipulators.

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Book SynopsisThis book provides insights on blockchain technology and its applications in real-world business, supply chain, health care, education, HRM, retail, logistics and transport industries. This book grants a comprehensive understanding of how this technology is functioning within modern real-world applications and how it can influence the future of the real-world applications in industry. The chapters cover the case study, applications of blockchain, benefits and challenges, disruptive innovations in real-world applications, privacy and security concerns, and the recent trends of blockchain in real-world applications. It is ideally intended for marketers, advertisers, brand managers, executives, managers, IT specialists and consultants, researchers, businesses, practitioners, stakeholders, academicians, and students interested in blockchain technology and its role in supply chain, health care, education, HRM, retail, logistics and transport industries.Table of ContentsAn Introduction to Blockchain Technology: Recent Trends.- Bitcoin: Beginning of the Cryptocurrency Era.- HR Digital Transformation: Blockchain for Business.- Securing Electronic Health Record System in Cloud Environment Using Blockchain Technology.- Blockchain: The foundation of trust in Metaverse.- Survey on Blockchain Technology and Security Facilities in Online Education.- A Govern Chain – Integration of Government Function with Blockchain Technology.- Blockchain in Healthcare: A Review.- Blockchain: A Study of New Business Model.- Understanding the Blockchain Technology Adoption in Transportation Management: Application in Trucking Industry.

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Book SynopsisThis book is a collection of papers presented during the 8th World Conference on Soft Computing in February 2022. The papers cover multiple areas important for soft computing. Some papers are dedicated to fundamental aspects of soft computing, i.e., fuzzy mathematics, type-2 fuzzy sets, evolutionary-based optimization, aggregation, and neural networks. Others emphasize the application of soft computing methods to data analysis, image processing, decision-making, classification, series prediction, economics, control, and modeling.Table of ContentsPart 1. Fuzzy Recognition.- 01. Difficulties in recognizing flat shapes based on Fuzzy logic.- 2. The problem of parsing and recognizing individual objects of information on base of fuzzy Logic.- 3. Call Center and Robot Call Center How to Reduce the Cost.- 4. An intelligent method for optimizing calculations in the recognition of sound information.

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Book SynopsisThis book contains an abundance of numerical analyses based on significant data sets, illustrating the close affiliation between transport systems development and quality of life. How to ensure accessibility standards for public transport for people with special needs? Which multi-criteria methods can support the problem of vehicle selection in freight transport, and which ones should be taken into account in the case of problems related to regional rail transport? What kind of How to assess technical condition of transport means? What factors should be taken into account when assessing the quality of passenger service? How to include zero emission vehicles in the consideration of transport plans? This book provides you with answers to these and many other questions. With regard to the research results discussed and the selected solutions applied, the book primarily addresses the needs of three target groups: Scientists and researchers (ITS field) Local authorities (responsible for the transport systems at the urban and regional level) Representatives of business (traffic strategy management) and industry (manufacturers of ITS components). This book gathers selected papers presented at the 18th “Transport Systems. Theory and Practice” Scientific and Technical Conference organised by the Department of Transport Systems, Traffic Engineering and Logistics at the Faculty of Transport and Aviation Engineering of the Silesian University of Technology. The conference was held on 19-20 September 2022 in Katowice (Poland).Table of ContentsIdentification of Barriers to Ensuring Accessibility Standards for Tram Stops to the Needs of People with Disabilities.- The Use of Multi-Criteria Methods in the Problem of Selecting Vehicles for Oversize Cargo Transport.- Problems of Assessing the Technical Condition of Transport Means on the Example of the Means of Air Transport.- The Use of Automatic Passenger Counting Systems Data in Financial Settlement Models in Public Transport.- Comparative Analysis of Transport Tariffs and Operating Ticket Distribution Channels in Selected Agglomerations.- Commuter Rail Service Quality: A Case Study of Rhine-Ruhr Metropolitan Region.- Money is Not Everything - is Integrated Transport Only About Investments?.- Determination of Transport Plans in Urban Areas Considering Zero-Emission Vehicles.- Vehicle Choice for Sustainable Regional Railway.

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Book SynopsisThis book is oriented towards applications and perspectives on future developments connected to intelligent technologies. Specifying topics connected to industry, mobility, telecommunications, biomechanics, among others. The innovative character of the text allows relating technical experiences and advances that seek to improve the implication of new technologies at local, national and regional levels, demonstrating the advances towards the different fields of knowledge in the area of engineering. The potential readers of this work would be master and doctorate students, professors–researchers in the field of new technologies and companies connected to the development of engineering. The texts serve to illustrate new procedures, new cases and new techniques for the optimization of systems that optimize social progress.Table of ContentsEvaluation of Biomechanical Conditions in Infants from 20 to 48 Months of Age in Gait.- Inertial sensors based stabilometric analysis for postural control in elderly people: Systematic review.- Graph Strength for Identification of Pre-training Desynchronization.- Credit default risk analysis using machine learning algorithms with hyperparameter optimization.- Nonlinear Identification and Position Control of a Pneumatic System.- Design and construction of a prototype backpack-type ergonomic cutting system with exoskeleton for oil palm fruit.- FOC Control design of VSI-SiC power converter for an electric traction system.- Virtual laboratory for induction motor simulation.- Homogeneity of engineering courses from an assignment management model in virtual learning environments.

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Book SynopsisThis book constitutes the refereed proceedings of the 7th ECML PKDD Workshop, AALTD 2022, held in Grenoble, France, during September 19–23, 2022.The 12 full papers included in this book were carefully reviewed and selected from 21 submissions. They were organized in topical sections as follows: Oral presentation and poster presentation.Table of ContentsOral Presentation.- Adjustable Context-aware Transformer.- Clustering of time series based on forecasting performance of global models.- Experimental study of time series forecasting methods for groundwater level prediction.- Fast Time Series Classification with Random Symbolic Subsequences.- RESIST: Robust Transformer for Unsupervised Time Series Anomaly Detection.- Window Size Selection In Unsupervised Time Series Analytics: A Review and Benchmark.- Poster Presentation.- Application of Attention mechanism combined with Long Short-Term Memory for forecasting Dissolved Oxygen in Ganga River.- Data Augmentation for Time Series Classification with Deep Learning.- Dimension selection strategies for multivariate time series classification with HIVE-COTEv2.0.- EDGAR: Embedded Detection of Gunshots by AI in Real-time.- Identification of the Best Accelerometer Features and Time-scale to Detect Disturbances in Calves.- ODIN AD: a framework supporting the life-cycle of time series anomaly detection applications.

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