Artificial intelligence (AI) Books

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.

Read more less

Book SynopsisThis book sheds light on the recent research directions in intelligent systems and their applications. It involves two main themes, including management information systems and advances in information security and networking. The discussion of the most recent designs, advancements, and modifications of intelligent systems, as well as their applications, is a key component of the chapters contributed to the aforementioned subjects.Table of ContentsKeys to Successful Product and Process Innovation through Soft TQM: An ANN Approach.- Big Data Techniques and internal control: An Evidence from Egypt.- What is stopping you from using mobile payment in Oman?.- Social Media Influencer Marketing: How Influencer Content help?.- Adoption Decision and Alleviation of Mobile Payment.- Blockchain Technology in Malaysian Estate Distribution: A Systematic Review.- An Overview of the Smart Grid attributes, Architecture and Components.- The Mobile Attacks under Internet of Things Networks.- An Overview of Blockchain-based IoT Architectures and Designs.- Modeling and Performance Evaluation of Solar Cells Using I-V curve Analysis.

Read more less

Book SynopsisThis book constitutes the refereed proceedings of the 18th International Conference on Computer-Aided Systems Theory, EUROCAST 2022, held in Las Palmas de Gran Canaria, Spain, during February 20–25, 2022. The 77 full papers included in this book were carefully reviewed and selected from 110 submissions. They were organized in topical sections as follows: Systems Theory and Applications, Theory and Applications of Metaheuristic Algorithms, Model-Based System Design, Verification and Simulation, Applications of Signal Processing Technology, Artificial Intelligence and Data Mining for Intelligent Transportation Systems and Smart Mobility, Computer Vision, Machine Learning for Image Analysis and Applications, Computer and Systems Based Methods and Electronic Technologies in Medicine, Systems in Industrial Robotics, Automation and IoT, Systems Thinking. Relevance for Technology, Science and Management Professionals.Table of ContentsSystems Theory and Applications.- Transdisciplinary Software Development for Early Crisis Detection.- Uncertainty and Ambiguity: Challenging Layers in Model Construction.- George J. Boole. A Nineteenth Century Man for the Modern Digital Era.- Improvement of Electromagnetic Systems by Werner Von Siemens.- Improvement of Electromagnetic Systems by Werner Von Siemens.- Theory and Applications of Metaheuristic Algorithms.- Multi-criteria Optimization of Workflow-based Assembly Tasks in Manufacturing.- Lightweight Interpolation-Based SurroImproving the Flexibility of Shape-Constrained Symbolic Regression with Extended Constraints.- gate Modelling for MultiObjective Continuous Optimisation.- Analysis and Handling of Dynamic Problem Changes in OpenEnded Optimization.- Dynamic Vehicle Routing with Time-Linkage: From Problem States to Algorithm Performance.- Dynamic Fitness Landscape Analysis.- A Relative Value Function Based Learning Beam Search for Longest Common Subsequence Problem.- Multi-day Container Drayage Problem with Active and Passive Vehicles.- On Discovering Optimal Trade-Offs when Introducing New Routes in Existing Multi-Modal Public Transport Systems.- A Mathematical Model and GRASP for a Tourist Trip Design Problem.- A Large Neighborhood Search for Battery Swapping Station Location Planning for Electric Scooters.- Shapley Value based Variable Interaction Networks for Data Stream Analysis.- Symbolic Regression with Fast Function Extraction and Nonlinear Least Squares Optimization.- Comparing Shape-Constrained Regression Algorithms for Data Validation.- Shape-constrained Symbolic Regression with NSGA-III.- Using Explainable Artificial Intelligence for Data Based Detection of Complications in Records of Patient Treatments.- Identifying Differential Equations to predict Blood Glucose using Sparse Identification of Nonlinear Systems.-Obtaining Difference Equations for Glucose Prediction by Structured Grammatical Evolution and sparse identification.- Model-Based System Design, Verification and Simulation.- Modeling Approaches for Cyber Attacks on Energy Infrastructure.- Simulation setup for a closed-loop regulation of neuro-muscular blockade.- Textile In The Loop as Automated Verification Tool for Smart Textiles Applications.- Orchestrating Digital Twins for Distributed Manufacturing Execution Systems.- Automata with Bounded Repetition in RE2.- Integrating OSLC Services into Eclipse.- Developing an Application in the Forest for New Tourism Post COVID-19.- GPU-Accelerated Synthesis of Probabilistic Programs.- Static Deadlock Detection in Low-Level C Code.- Applications of Signal Processing Technology.- 3D Ultrasound Fingertip Tracking.- An Artificial Skin from Conductive Rubber.- Neural Network Based Single-Carrier Frequency Domain Equalization.- Smooth Step Detection.- Optical Preprocessing and Digital Signal Processing for the Measurement of Strain in Thin Specimen.- Lower Limbs Gesture Recognition Approach to Control a Medical Treatment Bed.- Artificial Intelligence and Data Mining for Intelligent Transportation Systems and Smart Mobility.- JKU-ITS Automobile for Research on Autonomous Vehicles.- Development of a ROS-based Architecture for Intelligent Autonomous on Demand Last Mile Delivery.- Contrastive Learning for Simulation-to-Real Domain Adaptation of LiDAR data.- Deep Learning Data Association Applied to Multi-Object Tracking Systems.- A Methodology to Consider Explicitly Emissions in Dynamic User Equilibrium Assignment.- Sensitivity Analysis for A Cooperative Adaptive Cruise Control Car Following Model: Preliminary Findings.- On Smart Mobility and Data Stream Mining.- Smart Vehicle Inspection.- Computer Vision, Machine Learning for Image Analysis and Applications.- Impact of the Region of Analysis on the Performance of the Automatic Epiretinal Membrane Segmentation in OCT Images.- Performance Analysis of GAN approaches in the Portable Chest X-ray synthetic image generation for COVID-19 screening.- Clinical Decision Support tool for the Identification of Pathological Structures Associated with Age-related Macular Degeneration.- Deep Features-based approaches for Phytoplankton Classification in Microscopy Images.- Robust Deep Learning-based Approach for Retinal layer Segmentation in Optical Coherence Tomography Images.- Impact of increased centerline weight on the Joint segmentation and classification of arteries and veins in color fundus images.- Rating the Severity of Diabetic Retinopathy on a Highly Imbalanced Dataset.- Gait Recognition using 3D View-Transformation Model.- Segmentation and Multi-Facet Classification of Individual Logs in Wooden Piles.- Drone Detection Using Deep Learning: A Benchmark Study.- Computer and Systems Based Methods and Electronic Technologies in Medicine.- Continuous Time Normalized Signal Trains for a Better Classification of Myoelectric Signals.- A Comparison of Covariate Shift Detection Methods on Medical Datasets.- Towards a Method to Provide Tactile Feedback in Minimally Invasive Robotic Surgery.- Reference Datasets for Analysis of Traditional Japanese and German Martial Arts.- A Novel Approach to Continuous Heart Rhythm Monitoring for Arrhythmia Detection.- Indoor Positioning Framework for Training Rescue Operations Procedures at the Site of a Mass Incident or Disaster.- Designing sightseeing support system in Oku-Nikko using BLE beacon.- Systems in Industrial Robotics, Automation and IoT.- Mixed Reality HMI for Collaborative Robots.- A Digital Twin Demonstrator for Research and Teaching in Universities.- Robot System as a Testbed for AI Optimizations.- An Architecture for Deploying Reinforcement Learning in Industrial Environments.- Ck-continuous Spline Approximation with TensorFlow Gradient Descent Optimizers.- Stepwise Sample Generation.- Optimising Manufacturing Process with Bayesian Learning and Knowledge Graphs.- Representing Technical Standards as Knowledge Graph to Guide the Design of Industrial Systems.- Improvements for mlrose Applied to the Traveling Salesperson Problem.- Survey on Radar Odometry.- Systems Thinking. Relevance for Technology, Science and Management Professionals.- Systems Thinking. Relevance for Technology, Science and Management Professionals.- Crisis Management in a Federation – Cybernetic Lessons from a Pandemic.- Using Archetypes to Teach Systems Thinking in an Engineering Master’s Course.- Collecting vs Sharing of Personal Data: Examining the Implications to the Society.

Read more less

Book SynopsisThis book presents an authoritative collection of contributions reporting on computational intelligence, fuzzy systems as well as artificial intelligence techniques for modeling, optimization, control and decision-making together with applications and case studies in engineering, management and economic sciences. Dedicated to the Academician of the Polish Academy of Sciences, Professor Janusz Kacprzyk in recognition of his pioneering work, the book reports on theories, methods and new challenges in artificial intelligence, thus offering not only a timely reference guide but also a source of new ideas and inspirations for graduate students and researchers alike.The book consists of the 18 chapters, presented by distinguished and experienced authors from 16 different countries (Australia, Brazil, Canada, Chile, Germany, Hungary, Israel, Italy, China, R.N.Macedonia, Saudi Arabia, Spain, Turkey, United States, Ukraine, and Vietnam). All chapters are grouped into three parts: Computational Intelligence and Fuzzy Systems, Artificial Intelligence Techniques in Modelling and Optimization, and Computational Intelligence in Control and Decision Support Processes.The book reflects recent developments and new directions in artificial intelligence, including computation method of the interval hull to solutions of interval and fuzzy interval linear systems, fuzzy-Petri-networks in supervisory control of Markov processes in robotic systems, fuzzy approaches for linguistic data summaries, first-approximation analysis for choosing fuzzy or neural systems and type-1 or type-2 fuzzy sets, matrix resolving functions in game dynamic problems, evolving stacking neuro-fuzzy probabilistic networks and their combined learning in online pattern recognition tasks, structural optimization of fuzzy control and decision-making systems, neural and granular fuzzy adaptive modeling, state and action abstraction for search and reinforcement learning algorithms. Among the most successful and perspective implementations in practical areas of human activity are tentative algorithms for neurological disorders, human-centric question-answering system, OWA operators in pensions, evaluation of the perception of public safety through fuzzy and multi-criteria approach, a multicriteria hierarchical approach to investment location choice, intelligent traffic signal control and generative adversarial networks in cybersecurity.Table of ContentsMethod for the Computation of the Interval Hull to Solutions of Interval and Fuzzy Interval Linear Systems.- Fuzzy-Petri-Networks in Supervisory Control of Markov Processes in Robotized FMS and Robotic Systems.- Using Fuzzy Set Approaches for Linguistic Data Summaries.- Fuzzy or Neural, Type-1 or Type-2 – When Each Is Better: First-Approximation Analysis.

Read more less

Book SynopsisThis book aims to provide physicians and scientists with the basics of Artificial Intelligence (AI) with a special focus on medical imaging. The contents of the book provide an introduction to the main topics of artificial intelligence currently applied on medical image analysis. The book starts with a chapter explaining the basic terms used in artificial intelligence for novice readers and embarks on a series of chapters each one of which provides the basics on one AI-related topic. The second chapter presents the programming languages and available automated tools that enable the development of AI applications for medical imaging. The third chapter endeavours to analyse the main traditional machine learning techniques, explaining algorithms such as random forests, support vector machines as well as basic neural networks. The applications of those machines on the analysis of radiomics data is expanded in the fourth chapter to allow the understanding of algorithms used to build classifiers for the diagnosis of disease processes with the use of radiomics. Chapter five provides the basics of natural language processing which has revolutionized the analysis of complex radiological reports and chapter six affords a succinct introduction to convolutional neural networks which have revolutionized medical image analysis enabling automated image-based diagnosis, image enhancement (e.g. denoising), protocolling etc. The penultimate chapter provides an introduction to data preprocessing for use in the aforementioned artificial intelligence applications. The book concludes with a chapter demonstrating AI-based tools already in radiological practice while providing an insight about the foreseeable future. It will be a valuable resource for radiologists, computer scientists and postgraduate students working on medical image analysis.Table of Contents What is artificial intelligence: history and basic definitions (Manolis Koltsakis, Apostolos Karantanas) Programming languages and tools used for AI applications (George Manikis, Kostas Marias) Introduction to traditional machine learning (Sara Colantonio) Machine learning methods for radiomics analysis (Michail Klontzas) Natural Language Processing (NLP) (Claudio Fanni) Deep learning (Lefteris Trivizakis, Kostas Marias) Data preparation for AI purposes (Andrea Barucci) Current applications of AI in medical imaging (Gianfranco di Salle)

Read more less

Book SynopsisThis book presents original contributions to the theories and practices of emerging Internet, data, and web technologies and their applicability in businesses, engineering, and academia. Internet has become the most proliferative platform for emerging large-scale computing paradigms. Among these, data and web technologies are two most prominent paradigms, in a variety of forms such as data centers, cloud computing, mobile cloud, mobile web services, and so on. These technologies altogether create a digital ecosystem whose corner stone is the data cycle, from capturing to processing, analysis, and visualization. The investigation of various research and development issues in this digital ecosystem is boosted by the ever-increasing needs of real-life applications, which are based on storing and processing large amounts of data.As a key feature, it addresses advances in the life-cycle exploitation of data generated from the digital ecosystem data technologies that create value for the knowledge and businesses toward a collective intelligence approach. Researchers, software developers, practitioners, and students interested in the field of data and web technologies find this book useful and a reference for their activity.Table of ContentsData Integration in Practice: Academic Finance Analytics Case Study.- Proposal of an Aquarium Design Support Virtual Reality System.- The Source Code Maintenance Time Classifications from Code Smell.- Evolution Analysis of R&D Jobs Based on Patents’ Technology Efficacy Labeling.- The Model of Improving the Quality of Government Financial Reporting.- Fuzzy Mean Clustering Analysis Based on Glutamic Acid Fermentation Failure.- Mustahik Micro Business Incubation in Poverty Alleviation.- Schemes for a Transient Eddy-current Problem On an Unbounded Area.- Zakat Management Model Based on ICT.- Teaching Method of Advanced Mathematics combining PAD Classroom with ADDIE Model.- A Kind of Online Game Addictive Treatment Model about Young Person.- Research on E-commerce Customer Value Segmentation Model Based on Network Behavior.- Blockchain Applications for Mobility-as-a-Service Ecosystem: A Survey.- Construction of a Fully Homomorphic Encryption Scheme with Shorter Ciphertext and its Implementation on the CUDA Platform.- Traffic-oriented Shellcode Detection Based on VSM.- Supply Chain Finance Mediates The Effect of Trust and Commitment on Supply Chain Effectiveness.

Read more less

Book Synopsis​This book constitutes the refereed proceedings of the XXIst International Conference of the Italian Association for Artificial Intelligence on AIxIA 2022 – Advances in Artificial Intelligence, which was held in Udine, Italy, during November 28–December 2, 2022.The 33 full papers and 1 invited paper presented in this volume were carefully reviewed and selected from 54 submissions. They were organized in topical sections as follows: Hybrid Approaches; Graphs and Networks; Multiagent Systems; Automated Planning and Scheduling; AI Applications; Miscellany; Natural Language Processing; and Keynote talk.Table of Contents​Hybrid Approaches.- The PSyKE technology for Trustworthy Artificial Intelligence.- A Declarative Approach to Contrast Pattern Mining.- Graphs and Networks.- Approximate Inference in Probabilistic Answer Set Programming for Statistical Probabilities.- Decision Trees with a Modal Flavor.- Assisted Process Knowledge Graph Building Using Pre-Trained Language Models.- Neural Networks Reduction via Lumping.- Knowledge Enhanced Neural Networks for relational domains.- Logic Tensor Networks for Top-N Recommendation.- Multiagent Systems.- A Review of the Muddy Children Problem.- Multi-Agent Cooperative Argumentation in Arg2P.- Ethics by Design for Intelligent and Sustainable Adaptive systems.- Automated Planning and Scheduling.- Verification of Numeric Planning Problems through Domain Dynamic Consistency.- Comparing Multi-Agent Path Finding Algorithms in a Real Industrial Scenario.- Logic-Based Ethical Planning.- A Hybrid Recommender System with Implicit Feedbacks in Fashion Retail.- Incremental Timeline-based Planning for Efficient Plan Execution and Adaptation.- Knowledge Acquisition and Completion for Long-Term Human-Robot Interactions using Knowledge Graph Embedding.- Construct, Merge, Solve and Adapt Applied to a Bus Driver Scheduling Problem with Complex Break Constraints.- Topic Modelling and Frame identification for Political Arguments.- Substitute plastic film with Kraft paper in automatic pallet wrapping: an AI pipeline.- AI Applications.- Transformer Based Motion In-Betweening.- A Logic-based Tool for Dynamic Generation and Classification of Music Content.- Why Can Neural Networks Recognize Us by Our Finger Movements?.- Miscellany.- Labelled Sequent Calculi for Conditional Logics: Conditional Excluded Middle and Conditional Modus Ponens finally together.- Deep learning for ECoG brain-computer interface: end-to-end vs hand-crafted features.- Quantum Circuit Compilation for the Graph Coloring Problem.- Toward a Heterogeneous Multi-Robot Framework for Priority-Based Sanitization of Railway Stations.- Simulated Annealing for the Home Healthcare Routing and Scheduling Problem.- MAP Inference in Probabilistic Answer Set Programs.- Verifying a stochastic model for the spread of a SARS-CoV-2-like infection: opportunities and limitations.- Natural Language Processing.- DelBERTo: a Deep Lightweight Transformer for Sentiment Analysis.- A BERT-based Scoring System for Workplace Safety Courses in Italian.- Embedding Contextual Information in seq2seq models for Grounded Semantic Role Labeling.- Keynote talk. -Adventures with Datalog: Walking the Thin Line Between Theory and Practice.

Read more less

Book SynopsisThis book constitutes the refereed proceedings of the 12th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2022 held in Leiden, The Netherlands, during March 20-24, 2023. The 44 regular papers presented in this book were carefully reviewed and selected from 65 submissions. The papers are divided into the following topical sections: Algorithm Design and Engineering; Machine Learning and Multi-criterion Optimization; Benchmarking and Performance Assessment; Indicator Design and Complexity Analysis; Applications in Real World Domains; and Multi-Criteria Decision Making and Interactive Algorithms..Table of Contents​Algorithm Design and Engineering.- Visual Exploration of the Effect of Constraint Handling in Multiobjective Optimization.- A Two-stage Algorithm for Integer Multiobjective Simulation Optimization.- RegEMO: Sacrificing Pareto-Optimality for Regularity in Multi-objective Problem-Solving.- Cooperative coevolutionary NSGA-II with Linkage Measurement Minimization for Large-scale Multi-objective Optimization.- Data-Driven Evolutionary Multi-Objective Optimization Based on Multiple-Gradient Descent for Disconnected Pareto Fronts.- Eliminating Non-dominated Sorting from NSGA-III.- Scalability of Multi-Objective Evolutionary Algorithms for Solving Real-World Complex Optimization Problems.- Machine Learning and Multi-criterion Optimization.- Multi-Objective Learning using HV Maximization.- Sparse Adversarial Attack via Bi-Objective Optimization.- Investigating Innovized Progress Operators with Different Machine Learning Methods.- End-to-End Pareto Set Prediction with Graph Neural Networks for Multi-objective Facility Location.- Online Learning Hyper-Heuristics in Multi-Objective Evolutionary Algorithms.- Surrogate-assisted Multi-objective Optimization via Genetic Programming based Symbolic Regression.- Learning to Predict Pareto-optimal Solutions From Pseudo-weights.- A Relation Surrogate Model for Expensive Multiobjective Continuous and Combinatorial Optimization.- Pareto Front Upconvert by Iterative Estimation Modeling and Solution Sampling.- Pareto Front Upconvert by Iterative Estimation Modeling and Solution Sampling.- Approximation of a Pareto Set Segment Using a Linear Model with Sharing Variables.- Feature-based Benchmarking of Distance-based Multi/Many-objective Optimisation Problems: A Machine Learning Perspective.- Benchmarking and Performance Assessment.- Partially Degenerate Multi-Objective Test Problems.- Peak-A-Boo! Generating Multi-Objective Multiple Peaks Benchmark Problems with Precise Pareto Sets.- MACO: A Real-world inspired Benchmark for Multi-objective Evolutionary Algorithms.- A scalable test suite for bi-objective multidisciplinary optimisation.- Performance Evaluation of Multi-Objective Evolutionary Algorithms using Artificial and Real-World Problems.- A Novel Performance Indicator based on the Linear Assignment Problem.- A Test Suite for Multi-objective Multi-fidelity Optimization.- Indicator Design and Complexity Analysis.- Diversity enhancement via magnitude.- Two-Stage Greedy Approximated Hypervolume Subset Selection for Large-Scale Problems.- Two-Stage Greedy Approximated Hypervolume Subset Selection for Large-Scale Problems.- On the Computational Complexity of Efficient Non-Dominated Sort using Binary Search.- Applications in Real World Domains.- Evolutionary Algorithms with Machine Learning Models for Multiobjective Optimization in Epidemics Control.- Joint Price Optimization across a Portfolio of Fashion E-commerce Products.- Improving MOEA/D with Knowledge Discovery. Application to a Bi-Objective Routing Problem.- The Prism-Net Search Space Representation for Multi-Objective Building Spatial Design.- Selection Strategies for a Balanced Multi- or Many-Objective Molecular Optimization and Genetic Diversity: a Comparative Study.- A Multi-objective Evolutionary Framework for Identifying Dengue Stage-Specific Differentially Co-expressed and Functionally Enriched Gene Modules.- A Multi-objective Evolutionary Framework for Identifying Dengue Stage-Specific Differentially Co-expressed and Functionally Enriched Gene Modules. -Multiobjective Optimization of Evolutionary Neural Networks for Animal Trade Movements Prediction.- Transfer of Multi-Objectively Tuned CMA-ES Parameters to a Vehicle Dynamics Problem.- Multi-Criteria Decision Making and Interactive Algorithms.- Preference-Based Nonlinear Normalization for Multiobjective Optimization.- Incorporating preference information interactively in NSGA-III by the adaptation of reference vectors.- A Systematic Way of Structuring Real-World Multiobjective Optimization Problems.- IK-EMOViz: An Interactive Knowledge-based Evolutionary Multi-objective Optimization Framework.- An Interactive Decision Tree-Based Evolutionary Multi-Objective Algorithm.

Read more less

Book SynopsisThis book presents the astonishing potential of deep sensorimotor policies for agile vision-based quadrotor flight. Quadrotors are among the most agile and dynamic machines ever created. However, developing fully autonomous quadrotors that can approach or even outperform the agility of birds or human drone pilots with only onboard sensing and computing is challenging and still unsolved.Deep sensorimotor policies, generally trained in simulation, enable autonomous quadrotors to fly faster and more agile than what was possible before. While humans and birds still have the advantage over drones, the author shows the current research gaps and discusses possible future solutions.Table of Contents1: Introduction.- 2: Contribution.- 3: Future Directions.

Read more less

Book SynopsisThis book constitutes the proceedings of the 5th International Workshop on Formal Methods Teaching, FMTea 2023, which was held in Lübeck, Germany, in March 2023.The 7 full papers presented in this volume were carefully reviewed and selected from 10 submissions. FMTea 2023 aim is to support a worldwide improvement in learning Formal Methods, mainly by teaching but also via self-learning.Table of ContentsAutomated Exercise Generation for Satisfiability Checking.- Graphical Loop Invariant Based Programming.- A Gentle Introduction to Verification of Parameterized Reactive Systems.- Model Checking Concurrent Programs for Autograding in pseuCo Book.- Teaching TLA+ to Engineers at Microsoft.- Teaching and Training in Formalisation with B.- Teaching low-code Formal Methods with Coloured Petri Nets.

Read more less

Book SynopsisThis book constitutes the proceedings of the 20th International Conference on Relational and Algebraic Methods in Computer Science, RAMiCS 2023, which took place in Augsburg, Germany, during April 3–6, 2023. The 17 papers presented in this book were carefully reviewed and selected from 26 submissions. They deal with the development and dissemination of relation algebras, Kleene algebras, and similar algebraic formalisms. Topics covered range from mathematical foundations to applications as conceptual and methodological tools in computer science and beyond. Apart from the submitted articles, this volume features the abstracts of the presentations of the three invited speakers. Table of ContentsAmalgamation Property for Some Varieties of BL-algebras Generated by one Finite Set of BL-chains with Finitely-many Components.- Comer Schemes, Relation Algebras, and the Flexible Atom Conjecture.- A General Method for Representing Sets of Relations by Vectors.- Contextuality in Distributed Systems.- The Structure of Locally Integral Involutive Po-monoids and Semirings.- Compatibility of Refining and Controlling Plant Automata with Bisimulation Quotients.- Dependences Between Domain Constructions in Heterogeneous Relation Algebras.- Normal Forms for Elements of the *-Continuous Kleene Algebras K (x) C2’.- Representable and Diagonally rRpresentable Weakening Relation Algebras.- Completeness and the Finite Model Property for Kleene Algebra, Reconsidered.- What Else is Undecidable About Loops.- Implication Algebras and Implication Semigroups of Binary Relations.- On the Complexity of Kleene Algebra with Domain.- Enumerating, Cataloguing and Classifying all Quantales on up to Nine Elements.- Duoidally Enriched Freyd Categories.- Towards a Theory of Conversion Relations for Prefixed Units of Measure.- Relational Algebraic Approach to the Real Numbers - The Additive Group.

Read more less

Book SynopsisThis book approaches to the subject of common-sense reasoning in AI using epistemic situation calculus which integrates the ideas of situation calculus and epistemic logic. Artificial intelligence (AI) is the research area of science and engineering for intelligent machines, especially intelligent computer programs. It is very important to deal with common-sense reasoning in knowledge-based systems. If we employ a logic-based framework, classical logic is not suited for the purpose of describing common-sense reasoning. It is well known that there are several difficulties with logic-based approaches, e.g., the so-called Fame Problem. We try to formalize common-sense reasoning in the context of granular computing based on rough set theory. The book is intended for those, like experts and students, who wish to get involved in the field as a monograph or a textbook for the subject. We assume that the reader has mastered the material ordinarily covered in AI and mathematical logicTable of ContentsIntroduction.- Preliminaries.- Discussion.- Conclusion.- Index.

Read more less

Book SynopsisThis book presents innovative ideas, cutting-edge findings, and novel techniques, methods, and applications in a broad range of cybersecurity and cyberthreat intelligence areas. As our society becomes smarter, there is a corresponding need to secure our cyberfuture. The book describes approaches and findings that are of interest to business professionals and governments seeking to secure our data and underpin infrastructures, as well as to individual users.Table of ContentsTOPSIS Model Establishment in the Context of Internet Finance.- An Analysis of Internet Financial Risk Prevention Strategies from the Perspective of Network Security.- Prediction of Transaction Risk in Financial Market Based on Neural Network Model.- Intelligent Business Model Data Analysis Based on Particle Swarm Optimization.- Multi-dimensional Data Perception and Intelligent Analysis Framework Design of Management Information System.- Resource Transaction Management System Based on PageRank Algorithm.- Research on Intelligent Student Management Evaluation Information System Based on Data Mining Algorithm.- Purchasing Management System Based on Genetic Algorithm.- Credit Risk Prediction Model of Digital Rural Finance Based on PSO-SVM.- Cache High Availability Intelligent Stall Management System Based on Redis Sentinel Mechanism Architecture.- The Application of BIM Technology in the Construction of Project Construction Management Platform.- Innovation of Financing Mode for Small and Micro Enterprises on Digital Finance Technology Algorithm.- Coal Energy Management Estimation System Based on Artificial Intelligence Algorithm.- Establishment of Enterprise Management Information System Based on Big Data Information Technology.- Application Analysis of Intelligent Information Technology in Transaction Management System.- Design of Management Cloud Information System for Residential Buildings Based on High-Performance Computing and Face Recognition Technology.- Development of Student Management System Based on WeChat Public Platform.- Application of Artificial Intelligence Technology in Human Resource Delicacy Management System.- Application of Data Mining Technology (DMT) in Human Resources Assessment Management System.

Read more less

Book SynopsisThis book, AICON 2022, constitutes the post-conference proceedings of the 4th EAI International Conference on Artificial Intelligence for Communications and Networks, AICON 2022, held in Hiroshima, Japan, in November 30- December 1, 2022. The 9 full papers and 4 short papers were carefully reviewed and selected from 36 submissions. The papers detail research in the areas of AI and communication systems related to intelligent systems and computational intelligence for communication and networks. They are organized in topical sections on AI and networks; machine learning; and evolutionary computation.Table of ContentsAI and Networks.- Cost-aware Node Ranking Algorithm for Embedding Virtual Networks in Internet of Vehicles.- Fault Diameter of Strong Product Graph of Two Paths.- Design and Implementation of SF Selection Based on Distance and SNR using Autonomous Distributed Reinforcement Learning in LoRa Networks.- Machine Learning.- QBRT: Bias and Rising Threshold Algorithm with Q-Learning.- A Study on Effectiveness of BERT Models and Task[1]Conditioned Reasoning Strategy for Medical Visual Question Answering.- Inspired human cognitive bias robust Neural Networks against Adversarial attacks.- Efficient estimation of cows’ location using machine learning from sensor data, farm management, cow location.- A Time Series Forecasting Method using DBN and Adam Optimization.- Unity-Bounded Function and Benchmark Design Specifications Targeted for Designing Typical Variable Digital Filters.- Evolutionary Computation.- Proposal and evaluation of a course classification support system emphasizing communication with the sub-committees within the Committee of Validation and Examination for Degrees.- A Research of Infectivity Rate of Seasonal Influenza from Pre-Infectious person for Data Driven Simulation Saori Iwanaga.- Creating Trust within Population in an Uncertain Environment using Blockchain.- Efficient Inductive Logic Programming Based on Particle Swarm Optimization.

Read more less

Book SynopsisThis book constitutes extended, revised, and selected papers from the JSAI annual conference, JSAI 2022, and the 14th International Symposium on Artificial Intelligence, JSAI-isAI 2022, held in Kyoto, Japan, in June 2022. The 18 full papers were carefully selected from 67 submissions and presented during the two events: 16th International Workshop on Juris-informatics, JURISIN 2022, and JSAI 2022 Intenational Session. This papers present discussion on fundamental and practical issues in Juris-informatics among researchers from various backgrounds such as law, social science, information and intelligent technology, logic, and philosophy, including the conventional AI and Law area. Table of ContentsJURISIN 2022.- Differential-aware Transformer for Partially Amended Sentence Translation.- On Complexity and Generality of Contrary Prioritized Defeasible Theory.- Mapping Similar Provisions between Japanese and Foreign Laws.- COLIEE 2022 Summary: Methods for Legal Document Retrieval and Entailment.- JNLP team: Deep Learning Approaches for Tackling Long and Ambiguous Legal Documents in COLIEE 2022.- Semantic-based Classification of Relevant Case Law.- nigam@COLIEE-22: Legal Case Retrieval and Entailment using Cascading of Lexical and Semantic-based models.- HUKB at the COLIEE 2022 Statute Law Task.- Using Textbook Knowledge for Statute Retrieval and Entailment Classification.- Legal Textual Entailment using Ensemble of Rule-based and BERT-based method with Data Augmentation by Related Article Generation.- Less is Better: Constructing Legal Question Answering System by Weighing Longest Common Subsequence of Disjunctive Union Text.- JSAI 2022 International Session.- Proposal for Turning Point Detection Method using Financial Text and Transformer.- Product Portfolio Optimization for LTV Maximization.- An Examination of Eating Experiences in Relation to Psychological States, Loneliness, and Depression Using BERT.- Objective Detection of High-risk Tackle in Rugby by Combination of Pose Estimation and Machine Learning.- Incremental informational value of floorplans for rent price prediction - Applications of modern computer vision techniques in real-estate.- Transaction Prediction by Using Graph Neural Network and Textual Industry Information.- Overfitting Problem in the Approximate Bayesian Computation Method Based on Maxima Weighted Isolation Kernel.

Read more less

Book SynopsisThis book redefines the essence of the information society and the digital economy, offering a new approach to their management and organization based on big data. The novelty of the new approach is that it ensures the use of the advanced technological capabilities of the Fourth Industrial Revolution to accelerate socio-economic development. The success of the new approach is based on progressive social institutions and advanced big data technology. Theoretical issues, methodological developments, and the author’s applied recommendations are consistently presented in forty chapters distributed in five sections. The book contains cases that reveal the practical experience of the Eurasian Economic Union (EAEU). The intended readership of the book is scientists. The book is interesting and useful for them because it presents an innovative model of information society and digital economy development driven by big data. Table of ContentsTechnological and Institutional Framework for the Dissemination and Use of Big Data.- Big Data for the Digital Economy.- Application of Big Data in Digital Business by Sectors.- Cooperative Mechanism for the Dissemination and Use of Big Data in the Information Society.- Case Study on the Application of Big Data in the Digital Economy of the Eurasian Economic Union.

Read more less

Book SynopsisThis book presents a collection of high-quality research papers, presented at the Second International Symposium on Bioinformatics and Biomedicine (BioInfoMed’2022). It offers a comprehensive look into some of the fastest growing fields of science, such as biomedicine, bioinformatics, artificial intelligence, and mathematical modeling. The different chapters of the work include both practical solutions and strictly scientific considerations expanding knowledge about the future bioinformatics and biomedical engineering challenges. We believe that the presented works will have a great impact not only on the development and the application of new methods for modeling, decision making and data mining in healthcare and biomedicine, but also it will provide a source of inspiration for researchers who can implement the proposed methods into their practice and scientific studies. Table of ContentsRhythm Analysis during Cardio-pulmonary Resuscitation with Convolutional and Recurrent Neural Networks Using ECG and Optional Impedance Input.- Parallel Technique on Bidirectional Associative Memory Cohen-Grossberg Neural Network.- Prediction of the Granulometric Composition of the Silt Loading on Transport Arteries in the City of Burgas Based on Artificial Neural Networks.- Emotion Recognition Using Convolutional Neural Network.- An Intuitionistic Fuzzy Estimation Approach to Magnetic Resonance Imaging.- Bioinformatics and Biostatistical Models for Analysis and Prognosis of Antimicrobial Resistance.- Lipid Order of Membranes Isolated from Erythrocytes of Patients with Coronary Artery Disease: Correlation with Biochemical Parameters.- Stress Response of Gram-positive and Gram-negative Bacteria Induced by Metal and Non-Metal Nanoparticles. In Search of Smart Antimicrobial Agents.- Generalized Net Model of Rehabilitation Algorithm for Patients with Proximal Humeral Fracture after Surgical Treatment.- A Generalized Net Model of Time-Delay Recurrent Neural Networks with the Stochastic Gradient Descent and Dropout Algorithm.

Read more less

Book SynopsisThis book constitutes the refereed post-conference proceedings of the First International Conference on Pervasive Knowledge and Collective Intelligence on Web and Social Media, PerSOM 2022, which was held in Messina, Italy, in November 2022. The 9 full papers were carefully reviewed and selected from 35 submissions and present findings of research from the fields of pervasive computing, web, and social media to promote ideas and practices about pervasive knowledge and collective intelligence in this fields. The conference targeted a wide variety of topics including new perspectives in social theories, complex networks, data science, knowledge management, web and social media.Table of ContentsData Science.- Assembling Fragments of Ancient Papyrus via Artificial Intelligence.- Social Media Analysis and Mining.- Misinformation and disinformation on Social Media: an updated survey of challenges and current trends.- Topic Detection and Tracking in Social Media Platforms.- Fake News on Social Media: current research and future directions.- Incivility balanced? Civil vs. uncivil speech in online political discussions as dependent on political parallelism.- Data and Network Security.- Federated Learning for the Efficient Detection of Steganographic Threats Hidden in Image Icons.- Machine Learning and Network Traffic to Distinguish Between Malware and Benign Applications.- Emerging Applications.- A Comparative Study on the Coulomb’s and Franklin’s Laws Inspired Algorithm (CFA) with Modern Evolutionary Algorithms for Numerical Optimization.- A Comparative Study on the Coulomb’s and Franklin’s Laws Inspired Algorithm (CFA) with Modern Evolutionary Algorithms for Numerical Optimization.

Read more less

Book SynopsisThe 4-volume set LNAI 13935 - 13938 constitutes the proceedings of the 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, which took place in Osaka, Japan during May 25–28, 2023.The 143 papers presented in these proceedings were carefully reviewed and selected from 813 submissions. They deal with new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, big data technologies, and foundations.

Read more less

Book SynopsisThe 4-volume set LNAI 13935 - 13938 constitutes the proceedings of the 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, which took place in Osaka, Japan during May 25–28, 2023.The 143 papers presented in these proceedings were carefully reviewed and selected from 813 submissions. They deal with new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, big data technologies, and foundations.

Read more less

Book SynopsisThe 4-volume set LNAI 13935 - 13938 constitutes the proceedings of the 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, which took place in Osaka, Japan during May 25–28, 2023.The 143 papers presented in these proceedings were carefully reviewed and selected from 813 submissions. They deal with new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, big data technologies, and foundations.Table of ContentsBig data.- Toward Explainable Recommendation Via Counterfactual Reasoning.- Online Volume Optimization for Notifications via Long Short-Term Value Modeling.- Discovering Geo-referenced Frequent Patterns in Uncertain Geo-referenced Transactional Databases.- Financial data.- Joint Latent Topic Discovery and Expectation Modeling for Financial Markets.- Let the model make financial senses: a Text2Text generative approach for financial complaint identification.- Information retrieval and search.- Web-scale Semantic Product Search With Large Language Models.- Multi-task learning based Keywords weighted Siamese Model for semantic retrieval.- Relation-Aware Network with Attention-Based Loss for Few-Shot Knowledge Graph Completion.- MFBE: Leveraging Multi-Field Information of FAQs for Efficient Dense Retrieval.- Isotropic Representation Can Improve Dense Retrieval.- Knowledge-Enhanced Prototypical Network with Structural Semantics for Few-Shot Relation Classification.- Internet of Things.- MIDFA : Memory-Based Instance Division and Feature Aggregation Network for Video Object Detection.- Medical and biological data.- Vision Transformers for Small Histological Datasets learned through Knowledge Distillation.- Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesis.- DKFM: Dual Knowledge-guided Fusion Model for Drug Recommendation.- Hierarchical Graph Neural Network for Patient Treatment Preference Prediction with External Knowledge.- Multimedia and multimodal data.- An Extended Variational Mode Decomposition Algorithm Developed Speech Emotion Recognition Performance.- Dynamically-Scaled Deep Canonical Correlation Analysis.- TCR: Short Video Title Generation and Cover Selection with Attention Refinement.- ItrievalKD: An Iterative Retrieval Framework Assisted with Knowledge Distillation for Noisy Text-to-Image Retrieval.- Recommender systems.- Semantic Relation Transfer for Non-overlapped Cross-domain Recommendations.- Interest Driven Graph Structure Learning for Session-Based Recommendation.- Multi-behavior Guided Temporal Graph Attention Network for Recommendation.- Pure Spectral Graph Embeddings: Reinterpreting Graph Convolution for Top-N Recommendation.- Meta-learning Enhanced Next POI Recommendation by Leveraging Check-ins from Auxiliary Cities.- Global-Aware External Attention Deep Model for Sequential Recommendation.- Aggregately Diversified Bundle Recommendation via Popularity Debiasing and Configuration-aware Reranking.- Diversely Regularized Matrix Factorization for Accurate and Aggregately Diversified Recommendation.- kNN-Embed: Locally Smoothed Embedding Mixtures For Multi-interest Candidate Retrieval.- Staying or Leaving: A Knowledge-Enhanced User Simulator for Reinforcement Learning Based Short Video Recommendation.- RLMixer: A Reinforcement Learning Approach For Integrated Ranking With Contrastive User Preference Modeling.

Read more less

Book SynopsisThe 4-volume set LNAI 13935 - 13938 constitutes the proceedings of the 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, which took place in Osaka, Japan during May 25–28, 2023.The 143 papers presented in these proceedings were carefully reviewed and selected from 813 submissions. They deal with new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, big data technologies, and foundations.

Read more less

Book SynopsisThis book constitutes the refereed proceedings of the 20th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2023, held in Umeå, Sweden, during June19–22,2023.The 17 papers presented in this volume were carefully reviewed and selected from 28 submissions. Additionally, 1 invited paper were included. The papers discuss different facets of decision processes in a broad sense and present research in data science, data privacy, aggregation functions, human decision making, graphs and social networks, and recommendation and search.The papers are organized in the following topical sections: Decision making and uncertainty; Machine Learning and data science; and Data privacy.Table of ContentsLogic Aggregators and Their Implementations.- Decision making and uncertainty.- Multi-Target Decision Making under Conditions of Severe Uncertainty.- Constructive set function and extraction of a k-dimensional element.- Coherent upper conditional previsions defined by fractal outer measures to represent the unconscious activity of human brain.- Discrete chain-based Choquet-like operators.- On a new generalization of decomposition integrals.- Bipolar OWA operators with continuous input function.- Machine Learning and data science.- Cost-constrained group feature selection using information theory.- Conformal Prediction for Accuracy Guarantees in Classification with Reject Option.- Adapting the Gini's index for solving Predictive Tasks.- Bayesian logistic model for positive and unlabeled data.- A goal-oriented specification language for reinforcement learning.- Improved Spectral Norm Regularization for Neural Networks.- Preprocessing Matters: Automated Pipeline Selection for Fair Classification.- Predicting Next Whereabouts using Deep Learning.- A Generalization of Fuzzy c-Means with Variables Controlling Cluster Size.- Data privacy.- Local Differential Privacy Protocol for Making Key{Value Data Robust against Poisoning Attacks.- Differential Privacy through Noise-Graph Addition.

Read more less

Book SynopsisThis two-volume set of IFIP-AICT 675 and 676 constitutes the refereed proceedings of the 19th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2023, held in León, Spain, during June 14–17, 2023. This event was held in hybrid mode.The 75 regular papers and 17 short papers presented in this two-volume set were carefully reviewed and selected from 185 submissions. The papers cover the following topics: Deep Learning (Reinforcement/Recurrent Gradient Boosting/Adversarial); Agents/Case Based Reasoning/Sentiment Analysis; Biomedical - Image Analysis; CNN - Convolutional Neural Networks YOLO CNN; Cyber Security/Anomaly Detection; Explainable AI/Social Impact of AI; Graph Neural Networks/Constraint Programming; IoT/Fuzzy Modeling/Augmented Reality; LEARNING (Active-AutoEncoders-Federated); Machine Learning; Natural Language; Optimization-Genetic Programming; Robotics; Spiking NN; and Text Mining /Transfer Learning. Table of ContentsDeep Learning (Reinforcement/Recurrent Gradient Boosting/Adversarial).- Agents/Case Based Reasoning/Sentiment Analysis.- Biomedical - Image Analysis.- CNN - Convolutional Neural Networks YOLO CNN.- Cyber Security/Anomaly Detection.- Explainable AI/Social Impact of AI.- Graph Neural Networks/Constraint Programming.- IoT/Fuzzy Modeling/Augmented Reality.- LEARNING (Active-AutoEncoders-Federated).- Machine Learning.- Natural Language.- Optimization-Genetic Programming.- Robotics.- Spiking NN.- and Text Mining /Transfer Learning.

Read more less

Book SynopsisThis book constitutes the refereed proceedings of the 21st International Conference on Artificial Intelligence in Medicine, AIME 2023, held in Portoroz, Slovenia, in June12–15, 2023.The 23 full papers and 21 short papers presented together with 3 demonstration papers were selected from 108 submissions. The papers are grouped in topical sections on: machine learning and deep learning; explainability and transfer learning; natural language processing; image analysis and signal analysis; data analysis and statistical models; knowledge representation and decision support.Table of Contents​Machine Learning and Deep Learning.- Survival Hierarchical Agglomerative Clustering: A Semi-Supervised Clustering Method Incorporating Survival Data.- Boosted Random Forests for Predicting Treatment Failure of Chemotherapy Regimens.- A Binning Approach for Predicting Long-Term Prognosis in Multiple Sclerosis.- Decision Tree Approaches to Select High Risk Patients for Lung Cancer Screening based on the UK Primary Care Data.- Causal Discovery with Missing Data in a Multicentric Clinical Study.- Novel approach for phenotyping based on diverse top-k subgroup lists.- Patient Event Sequences for Predicting Hospitalization Length of Stay.- Autoencoder-based prediction of ICU clinical codes.- Explainability and Transfer Learning.- Hospital Length of Stay Prediction Based on Multi-modal Data towards Trustworthy Human-AI Collaboration in Radiomics.- Explainable Artificial Intelligence for Cytological Image Analysis.- Federated Learning to Improve Counterfactual Explanations for Sepsis Treatment Prediction.- Explainable AI for Medical Event Prediction for Heart Failure Patients.- Adversarial Robustness and Feature Impact Analysis for Driver Drowsiness Detection.- Computational Evaluation of Model-Agnostic Explainable AI using Local Feature Importance in Healthcare.- Batch Integrated Gradients: Explanations for Temporal Electronic Health Records.- Improving stroke trace classification explainability through counterexamples.- Spatial Knowledge Transfer with Deep Adaptation Network for Predicting Hospital Readmission.- Dealing with Data Scarcity in Rare Diseases: Dynamic Bayesian Networks and Transfer Learning to Develop Prognostic Models of Amyotrophic Lateral Sclerosis.- Natural Language Processing.- A Rule-free Approach for Cardiological Registry Filling from Italian Clinical Notes with Question Answering Transformers.- Classification of Fall Types in Parkinson Disease From Self-report Data Using Natural Language Processing.- BERT for complex systematic review screening to support the future of medical research.- GGTWEAK: Gene Tagging with Weak Supervision for German Clinical Text.- Soft-prompt tuning to predict lung cancer using primary care free-text Dutch medical notes.- Machine learning models for automatic Gene Ontology annotation of biological texts.- Image Analysis and Signal Analysis.- A Robust BKSVD Method for Blind Color Deconvolution and Blood Detection on H&E Histological Images.- Can knowledge transfer techniques compensate for the limited myocardial infarction data by leveraging hemodynamics? An in silico Study.- Covid-19 Diagnosis In 3D Chest CT Scans With Attention-Based Models.- Generalized Deep Learning-based Proximal Gradient Descent for MR Reconstruction.- Crowdsourcing segmentation of histopathological images using annotations provided by medical students.- Automatic sleep stage classification on EEG signals using time-frequency representation.- Learning EKG Diagnostic Models with Hierarchical Class Label Dependencies.- Discriminant audio properties in deep learning based respiratory insufficiency detection in Brazilian Portuguese.- ECGAN: Self-supervised generative adversarial network for electrocardiography.- Data Analysis and Statistical Models.- Nation-wide ePrescription Data Reveals Landscape of Physicians and their Drug Prescribing Patterns in Slovenia.- Machine Learning Based Prediction of Incident Cases of Crohn’s Disease Using Electronic Health Records from a Large Integrated Health System.- Prognostic prediction of paediatric DHF in two hospitals in Thailand.- The Impact of Bias on Drift Detection in AI Health Software.- A Topological Data Analysis Framework for Computational Phenotyping.- Ranking of Survival-Related Gene Sets through Integration of Single-Sample Gene Set Enrichment and Survival Analysis.- Knowledge Representation and Decision Support.- Supporting the prediction of AKI evolution through interval-based approximate temporal functional dependencies.- Integrating Ontological Knowledge with Probability Data to Aid Diagnosis in Radiology.- Ontology model for supporting process mining on healthcare-related data.- Real-World Evidence Inclusion in Guideline-Based Clinical Decision Support Systems: Breast Cancer Use Case.- Decentralized Web-based Clinical Decision Support using Semantic GLEAN Workflows.- An Interactive Dashboard for Patient Monitoring and Management: a Support Tool to the Continuity of Care Centre.- A general-purpose AI assistant embedded in an open-source radiology information system.- Management of patient and physician preferences and explanations for participatory evaluation of treatment with an ethical seal.

Read more less

Book SynopsisThis book reviews the state-of-the-art efforts to apply machine learning and AI methods for healthy aging and longevity research, diagnosis, and therapy development. The book examines the methods of machine learning and their application in the analysis of big medical data, medical images, the creation of algorithms for assessing biological age, and effectiveness of geroprotective medications.The promises and challenges of using AI to help achieve healthy longevity for the population are manifold. This volume, written by world-leading experts working at the intersection of AI and aging, provides a unique synergy of these two highly prominent fields and aims to create a balanced and comprehensive overview of the application methodology that can help achieve healthy longevity for the population.The book is accessible and valuable for specialists in AI and longevity research, as well as a wide readership, including gerontologists, geriatricians, medical specialists, and students from diverse fields, basic scientists, public and private research entities, and policy makers interested in potential intervention in degenerative aging processes using advanced computational tools. Table of ContentsAI in longevity.- Automated reporting of medical diagnostic imaging for early disease and aging biomarkers detection.- Risk forecasting tools based on the collected information for two types of occupational diseases.- Obtaining longevity footprints in DNA methylation data using different machine learning approaches.- The role of assistive technology in regulating the behavioural and psychological symptoms of dementia.- Epidemiology, genetics and epigenetics of Biological Aging: one or more aging systems?.- Temporal relation prediction from Electronic Health Records using Graph Neural Networks and Transformers Embeddings.- In silico screening of life-extending drugs using machine learning and omics data.- An overview of kernel methods for identifying genetic association with health-related traits.- Artificial Intelligence approaches for skin anti-aging and skin resilience research.- AI in genomics and epigenomics.- The utility of information theory based methods in the research of aging and longevity.- AI for Longevity: getting past the Mechanical Turk model will take Good Data.- Leveraging algorithmic and human networks to cure human aging: Holistic understanding of Longevity via Generative Cooperative Networks, Hybrid Bayesian/Neural/Logical AI and Tokenomics-Mediated Crowdsourcing.

Read more less

Book SynopsisThis book contains contributions from several international authors to topics of current interest, such as AI, intelligent systems, and logic applications in different branches of knowledge. Foundational aspects of the various techniques are also covered, notably non-classical formalisms. The tome is intended for researchers, undergraduate and graduate students, and lay readers.The book is dedicated to researcher Seiki Akama on his sixtieth birthday. Akama is one of the critical scientists who dedicated himself to understanding the use of alternative logic in the various issues of AI, ranging from its foundations to concrete applications and philosophical reflections.Table of Contents1. The Scientific Work of Seiki Akama.- 2. A busy–beaver–like function in complexity theory.- 3. On the Choice of Primitives in Tense Logic.- 4. Paraconsistent Annotated Logic and Chaos Theory: Introducing the Fundamental Equations.- 5. A Paraconsistent Artificial Neural Cell of Learning by Contradiction Extraction (PANCLCTX) with Application Examples.- 6. Probabilistic Autoepistemic Equilibrium Logic.- 7. Rough-set-base Data Analysis: Theoretical Basis and Applications.- 8. Bilattice Tableau Calculi with Rough Set Semantics.- 9. Optimizing the Data Loss Prevention level using Logic Paraconsistent Annotated Evidential Eτ.- 10. Evaluation of behavioural skills simulating hiring of project manager applying Paraconsistent Annotated Evidential Logic Eτ.- 11. A Paraconsistent Decision-Making Method.- 12. Annotated logics and application – an overview.

Read more less

Book SynopsisThis book constitutes extended, revised, and selected papers from the 13th International Symposium on Artificial Intelligence supported by the Japanese Society for Artificial Intelligence, JSAI-isAI 2021, held online in November 2021. The 26 full papers were carefully selected from 86 submissions. The papers are organized in the volume according to the following workshops: 15th International Workshop on Juris-Informatics, JURISIN 2021; 18th Workshop on Logic and Engineering of Natural Language Semantics, LENLS 18, 5th International Workshop on SCIentific DOCument Analysis, SCI-DOCA 2021; Workshop on Artificial Affective (Kansei) Intelligence, KANSEI-AI 2021; 5th Workshop on Artificial Intelligence of and for Business, AI-Biz 2021.Table of ContentsJURISIN 2021.- LENLS 18.- SCIDOCA 2021.- KANSEIAI 2021.- AI-Biz 2021.

Read more less

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

Read more less

Book SynopsisThis book constitutes selected papers presented during the First International Conference on Digitization in Education, MoStart 2023, held in Mostar, Bosnia and Herzegovina, in April 2023.The 12 presented papers were thoroughly reviewed and selected from the 30 submissions. The proceedings cover a diverse range of topics, including artificial intelligence and robotics in education, games and simulations, intelligent tutoring systems, augmented and virtual reality, natural language processing, computer vision, IoT and metaverse applications, learning analytics, deep learning, and ethical issues in AI applications in education and law.Table of ContentsEvaluating Text Summarization using FAHP and TOPSIS Methods in Intelligent Tutoring Systems.- Overview of Tools for Programming and Virtual Simulation of Robots within the STEM Teaching Process.- Evaluating LightGBM Classifie for Knowledge Tracing on EdNet Dataset.- POS-only tagging using RNN for Croatian Language.- Web scraping Fire Incidents and Assesement of Fire Impact - a Case study of Split and Dalmatia County fire.- Bichronous Online Learning During the COVID-19 Pandemic – A Case Study on Teaching the Teachers.- Artificial intelligence fuzzy logic expert system for prediction of bevel angle quality response in plasma jet manufacturing process.- Education: Opportunities and Challenges.- Artificia intelligence for knowledge visualization: An Overview.- Digital Tools and Pre-reading Skills.- Detecting academic fraud at online tests during COVID-19 using machine learning-based methods.- Changes in Legal Education in the Digital Society of Artificia Intelligence.

Read more less

Book SynopsisToday, communication technology and computer engineering are intertwined, with advances in one field driving advances in the other, leading to the development of outstanding technologies. This book delves into the latest trends and breakthroughs in the areas of communication, Internet of things, cloud computing, big data, artificial intelligence, and machine learning.This book discusses challenges and opportunities that arise with the integration of communication technology and computer engineering. In addition, the book examines the ethical and social implications, including issues related to privacy, security, and digital divide and law. We have explored the future direction of these fields and the potential for further breakthroughs and innovations.The book is intended for a broad audience of undergraduate and graduate students, practicing engineers, and readers without a technical background who have an interest in learning about communication technology and computer engineering.Table of ContentsPart I: Communication Networks and Cybersecurity.- Enhancing the Performance of Cloud Environment by a Novel Three-Stage Task Scheduling Policy.- A new approach to coupled IR sensor based Real Time system for alerting old people accidents in Rest room.- Gesture Recognition Based Virtual Mouse And Keyboard.- IoV-based Application using Deep Learning Approach.- DDoS Attack Prediction using Decision Tree and Random Forest Algorithms.- The impact of Control Plane Attacks in Software Defined Networks Environments.- Compressed data aggregation using regulated duty cycle for WSN-IOT networks.- Improving Data Centre Power Efficiency by Applying the VM consolidation Approach.- Integration of a UHF Fractal Antenna into a 1U CubeSat for Low-Earth Orbit Mission.- A Novel & Innovative Blockchain-Empowered Federated Learning Approach for Secure Data Sharing in Smart city Applications.- Design and modelling of renewable energy sources using a partial power converter.- A qualitative study of the effects of socio-organizational factors on the information security culture of employees in a financial institution.- Part II: Embedded Systems and Smart Applications.- An Overview of Concentrated Photovoltaic Technology.- Electronic Prescription Service for Improved Healthcare Delivery.- A Review on Blockchain Smart Contract Applications.- Carbonic Acid Gas Emission Rating by Vehicles Using Datascience Techniques.- Robotics cyber security issues.- Part III: Computational Intelligence.- A comparative study of GANs (text to image GANs).- QCNN- A Conceptual Framework for Duplicate removal in Big Data using Quality assured Crowd sourcing coupled with Neural networks.- Design and Implementation of Camera-based Security System (CBSS) for Detecting Missing Persons.- Design and Implementation of a Secure Patient Recommender and Prediction System.- SDD: An Efficient Stacked Deep Learning Technique for Social Distance Detection.- Junk Mail Content Detection using Logistic Regression Algorithm.- Predicting Fish Habitat in the Persian Gulf Using Artificial Intelligence.- Evaluation of Text Classification using Support Vector Machine compare with Naive Bayes, Random Forest Decision Tree and K-NN.- Emotion AI.- Accuracy Prediction of Rainfall Using Decision Tree Algorithm and Random Forest.- Fraud detection using decision tree algorithm to curb identity theft.- Academic Performance Prediction using Machine learning algorithms.- Accuracy Of Water Quality Prediction Using Random Forest Regression and Artificial Neural Network.- Indian Sign Language Recognition System for Interrogative Words using Deep Learning.- New Approach of Artificial Intelligence in Digital Forensic Investigation: A Literature Review.- Comparative analysis of machine learning classifiers for plant leaf disease detection.- Effective House Price Prediction Using Machine Learning.- Colour Trend Analysis using Machine Learning and Histogram.- A new AI-based approach for Rental Tax Evasion Management in Iran (Ethical Consideration).- Bibliometric Analysis of Scientific Literature on Mental Health Research in Africa.- Multi-Modal Sentiment Analysis using Text and Audio for Customer Support Centers.- Comparative Analysis on the use of Teleconsultation using Support Vector Regression and Decision Tree Regression to Predict Patient Satisfaction.- COVID-19 in the UK: Sentiment and Emotion Analysis of Tweets Over Time.- Deep learning based sentiment analysis of customer reviews on hotels through tweets.- Diagnosis of Diabetes Type using Random Forest Algorithm and SVM for improving Accuracy.- Biometric Recognition Systems: A Short Survey.- Lung Histopathological Detection Using Image Classification.- A novel approach of Machine learning application in Astrophysics: Morphological feature wrapping based ensemble method for Galaxy shape classification using GAMA dataset.- Evaluating the Performance of a Hybrid Model for Classification of Bicycle Crash Severity and Identification of Associated Risk Factors.- Digital Transformations In Medical Applications Using Audio And Virtual Reality Procedures.- Part IV: Special Session 1 : Digital Transformation of Contemporary Business Practices.- A Review of Social Media Marketing on Digital Savvy Brand Shoppers.- Online Buying Behavior of UK University Students.- Factors Impacting A UK Based Software Business on International Expansion.- The Role of Blockchain Technology and Student Coin Case in Saudi Arabia's Higher Education Sector. The Challenge of Achieving 2030 Vision.- Part V: Special Session 2: Applications of Technology for Mental Health.- Research Protocol for a Preliminary Evaluation of a Gamified Tool for Adult Wellbeing.- Development and Evaluation of „Perspective: Counselling Simulator“: A Gamified Tool for Developing Risk-Assessment Skills in Trainee Counsellors.- Initial Evaluation of a Mobile Therapeutic Game for Adolescent Anxiety Disorders.- New Technologies and Interventions to Improve the Mental Health of People with Diabetes.- Help over harm: Practical and ethical considerations for the evaluation and deployment of therapeutic games.- Positive addiction recovery for an online audience: Implementation design and user evaluation.- A solution for creating dynamic networks of symptoms based on patients’ big data in cognitive-behavioral functional analysis and therapy – participatory design protocol.- Therapists’ attitudes towards the use of AI in therapeutic practice: considering the therapeutic alliance.

Read more less

Book SynopsisArtificial intelligence (AI) applications bring agility and modernity to our lives, and the reinforcement learning technique is at the forefront of this technology. It can outperform human competitors in strategy games, creative compositing, and autonomous movement. Moreover, it is just starting to transform our civilization.This book provides an introduction to AI, specifies machine learning techniques, and explores various aspects of reinforcement learning, approaching the latest concepts in a didactic and illustrated manner. It is aimed at students who want to be part of technological advances and professors engaged in the development of innovative applications, helping with academic and industrial challenges.Understanding the Fundamentals of Reinforcement Learning will allow you to: Understand essential AI concepts Gain professional experience Interpret sequential decision problems and solve them with reinforcement learning Learn how the Q-Learning algorithm works Practice with commented Python code Find advantageous directions Table of ContentsChapter. 1. IntroductionChapter. 2. ConceptsChapter. 3. Q-Learning algorithmChapter. 4. Development toolsChapter. 5. Practice with codeChapter. 6. Recent applications and future researchIndex.

Read more less

Book SynopsisThis book constitutes the proceedings of the 21st International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2023, held in Guimaraes, Portugal, in July 2023.The 32 full papers in this book were reviewed and selected from 70 submissions. 5 demonstration papers are also included in this volume. 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.Table of Contents​PAAMS 2023 - MAIN TRACK.- Brain waves classification using a single-channel dry EEG headset: an application for controlling an intelligent wheelchair.- AJAN: An Engineering Framework for Semantic Web-Enabled Agents and Multi-Agent Systems.- Adaptive consumption by continuous negotiation.- When Extrinsic Payoffs meet Intrinsic Expectations.- Multi-Agent Reinforcement Learning for Structured Symbolic Music Generation.- A multi-level density-based crowd simulation architecture.- Resolving the Dilemma of Responsibility in Multi-Agent Flow Networks.- Lessons Learned on the Design of a Predictive Agent for LoRaWAN Network Planning.- A solution concept with an exploration bias for repeated stochastic coalitional games.- Governing online forum interactions with multi-agent system: A Reddit use case with the JaCaMo platform.- Fuzzy Hyperplane based Twin-KSVC and Its Applications to Stock Price Movement Direction Prediction Based on News Articles.- Enhancing Safety Checking Coverage with Multi-swarm Particle Swarm Optimization.- A Decentralized Resource Allocation Protocol in Social Networks.- Multi-agent learning of causal networks in the Internet of Things.- Investigation of Integrating Solution Techniques for Lifelong MAPD Problem Considering Endpoints.- Towards Norm Entrepreneurship in Agent Societies.- Velluscinum: A Middleware for Using Digital Assets in Multi-Agent Systems.- Parking Problem with Multiple Gates.- UAV Swarm Control and Coordination Using Jason BDI Agents on top of ROS.- Traffic Assignment Optimization using Flow-based Multi-Maps.- A Monitoring Agent for Advancing Elderly Care through Mobile Health Technology.- Extrinsic Emotion Regulation by Intelligent Agents: A computational model based on Arousal-Valence dimensions.- Optimization of Complex Systems in Photonics by Multi-Agent Robotic Control.- GTG-CoL: A new Decentralized Federated Learning based on Consenssus for dynamic networks.- A novel framework for multi-agent knowledge-based federated learning systems.- Exploring Planner-Guided Swarms Running on Real Robots.- Integrating Policy Summaries with Reward Decomposition for Explaining Reinforcement Learning Agents.- A Multi-Agent Based Dynamic Network Slice Tarification Framework.- An IDE to Support the Development of Embedded Multi-Agent Systems. Bioinspired Artificial Cockroach Colony Strategy combined with 2-type Fuzzy Logic for the Priority-Based Sanitization of Railway Stations.- Embedding Autonomous Agents into Low-Power Wireless Sensor Networks.- Safe Autonomous Decision-Making with vGOAL.- PAAMS 2023 - DEMONSTRATIONS.- Towards Exception Handling in the SARL Agent Platform.- Multi-Agent Path Finding for Indoor Quadcopters.- Energy community integration of a smart home based on an open source multiagent system.- Cognitive Assistant for Enhanced eHealth Monitoring.- Extended Green Cloud - Modeling Cloud Infrastructure with Green Energy Sources.

Read more less

Book SynopsisThis book describes in an easily accessible way how artificial intelligence (AI) will help us to overcome the ongoing rise in complexity and thus shape our lives and work in a not-too-distant future. AI has proven to be the latest tool for resolving issues created by the most recent surge in complexity, and the corollary is: those who delay or ignore AI, will be overwhelmed by complexity. The book starts with a broad description of the coevolution of technology and society that irreversibly leads to the sharp increase in complexity of our socioeconomic environment. The second chapter then covers concepts and principles of the new science of complexity which helps us to understand issues caused by socioeconomic complexity and provides methods for resolving them. Subsequently, a beginner’s guide to artificial intelligence helps readers to glance at fundamentals of this powerful technology capable of resolving issues created by socioeconomic complexity. The danger of allowing intelligent digital systems to make high-risk decisions as well as the consequences of possible misuse of AI for fraud and fake are also discussed. The following chapter explores the concepts of natural and digital ecosystems. Digital transformation of rigidly structured corporations and administrations into adaptive and evolving organisations are illustrated by a number of case studies. Next, the current hectic transition of industrial to digital society is described, its origins identified and outcomes predicted, highlighting issues created by the increase in complexity and showing how to resolve them using thinking tools such as a complexity mindset and digital tools such as artificial intelligence. Eventually, the last two chapters outline the author’s vision of the future digital economy and digital society. This book is accessible to everyone who is curious to glimpse into the future, no previous special knowledge of digital technology is required. Especially decision makers in politics, business, administration, banking, policy making, education, healthcare and defence, and their advisors will benefit from the book, as it will help them to contribute to the creation of the brave new digital world. It may also support investors to recognise which elements of digital technology will play the most important role in the near future.Table of Contents1. Coevolution of Technology and Society.- 2. A Gentle Guide to Complexity.- 3. Artificial Intelligence: Friend or FOE.- 4. Natural and Digital Ecosystems.- 5. We are in Transition from Industrial to Digital Economy.- 6. The New Digital Economy.- 7. The New Digital Society.

Read more less

Book SynopsisThis book constitutes the refereed proceedings of the 8th International Conference on Business Intelligence, CBI 2023, which held in Istanbul, Turkey, during July 19–21, 2023.The 15 full papers included in this book were carefully reviewed and selected from 50 submissions. They were organized in topical sections as follows: artificial intelligence and business intelligence; and optimization and decision support. Table of ContentsArtificial Intelligence and Business Intelligence.- A business intelligence system for governing risks in SMEs.- A Systematic Analysis for Machine Learning Based Cow Price Prediction.- Deep learning models for cybersecurity in IoT networks.- Diabetes prediction by machine learning algorithms and risks factors.- Machine learning prediction of weather-induced road crash events for experienced and novice drivers: Insights from a driving simulator study.- Ontology-based Mediation with Quality Criteria.- Predicting driving license applicant’s performance for Car Reverse Test System.- Optimization and Decision Support.- A Comparative Study on the implementation of Blockchain in Supply Chain Models.- A Hybrid Approach of Dijkstra’s algorithm and A* search, with an optional adaptive threshold heuristic.- Causal Discovery and features importance analysis: What can be inferred about at-risk students?.- Computational features and applications of an inhomogeneous Gompertz diffusion process?.- Localization and Navigation of ROS-based Autonomous Robot in Hospital Environment.- Three-Phase Hybrid Evolutionary Algorithm for the Bi-Objective Travelling Salesman Problem.- Understanding Data Journalism Acceptance among Social TV Users: A Case Study of Twitter in the United Arab Emirates.- Unveiling the Performance Insights: Benchmarking Anomaly-Based Intrusion Detection Systems using Decision Tree Family Algorithms on the CICIDS2017 Dataset.

Read more less

Book SynopsisThis book constitutes the proceedings of the 6th International Conference on Geometric Science of Information, GSI 2023, held in St. Malo, France, during August 30-September 1, 2023. The 125 full papers presented in this volume were carefully reviewed and selected from 161 submissions. They cover all the main topics and highlights in the domain of geometric science of information, including information geometry manifolds of structured data/information and their advanced applications. The papers are organized in the following topics: geometry and machine learning; divergences and computational information geometry; statistics, topology and shape spaces; geometry and mechanics; geometry, learning dynamics and thermodynamics; quantum information geometry; geometry and biological structures; geometry and applications.Table of ContentsGeometry and machine learning.- Divergences and computational information geometry.- Statistics, topology and shape spaces.- Geometry and mechanics.- Geometry, learning dynamics and thermodynamics.- Quantum information geometry.- Geometry and biological structures.- Geometry and applications.

Read more less

Book SynopsisThis book constitutes the proceedings of the 6th International Conference on Geometric Science of Information, GSI 2023, held in St. Malo, France, during August 30-September 1, 2023. The 125 full papers presented in this volume were carefully reviewed and selected from 161 submissions. They cover all the main topics and highlights in the domain of geometric science of information, including information geometry manifolds of structured data/information and their advanced applications. The papers are organized in the following topics: geometry and machine learning; divergences and computational information geometry; statistics, topology and shape spaces; geometry and mechanics; geometry, learning dynamics and thermodynamics; quantum information geometry; geometry and biological structures; geometry and applications.Table of ContentsGeometry and machine learning.- Divergences and computational information geometry.- Statistics, topology and shape spaces.- Geometry and mechanics.- Geometry, learning dynamics and thermodynamics.- Quantum information geometry.- Geometry and biological structures.- Geometry and applications.

Read more less

Book SynopsisThis open access book constitutes the proceedings of the 29th International Conference on Automated Deduction, CADE 29, which took place in Rome, Italy, during July 2023. The 28 full papers and 5 short papers presented were carefully reviewed and selected from 77 submissions. CADE is the major forum for the presentation of research in all aspects of automated deduction, including foundations, applications, implementations, and practical experience. The papers are organized in the following topics: Logical foundations; theory and principles; implementation and application; ATP and AI; and system descriptions.Table of ContentsCertified Core-Guided MaxSAT Solving.- Superposition with Delayed Unification.- On Incremental Pre-processing for SMT.- Verified Given Clause Procedures.- QSMA: A New Algorithm for Quantified Satisfiability Modulo Theory and Assignment.- Uniform Substitution for Dynamic Logic with Communicating Hybrid Programs.- An Isabelle/HOL Formalization of the SCL(FOL) Calculus.- SCL(FOL) Can Simulate Non-Redundant Superposition Clause Learning.- Formal Reasoning about Influence in Natural Sciences Experiments.- A Theory of Cartesian Arrays (with Applications in Quantum Circuit Verification).- SAT-Based Subsumption Resolution.- A more Pragmatic CDCL for IsaSAT and targetting LLVM (Short Paper).- Proving Non-Termination by Acceleration Driven Clause Learning (Short Paper).- COOL 2 - A Generic Reasoner for Modal Fixpoint Logics (System Description).- Choose your Colour: Tree Interpolation for Quantified Formulas in SMT.- Proving Termination of C Programs with Lists.- Reasoning about Regular Properties: A Comparative Study.- Program Synthesis in Saturation.- A Uniform Formalisation of Three-Valued Logics in Bisequent Calculus.- Proving Almost-Sure Innermost Termination of Probabilistic Term Rewriting Using Dependency Pairs.- Verification of NP-hardness Reduction Functions for Exact Lattice Problems.- Buy One Get 14 Free: Evaluating Local Reductions for Modal Logic.- Left-Linear Completion with AC Axioms.- On P -interpolation in local theory extensions and applications to the study of interpolation in the description logics EL, EL+.- Theorem Proving in Dependently-Typed Higher-Order Logic.- Towards Fast Nominal Anti-Unification of Letrec-Expressions.- Confluence Criteria for Logically Constrained Rewrite Systems.- Towards a Verified Tableau Prover for a Quantifier-Free Fragment of Set Theory.- An Experimental Pipeline for Automated Reasoning in Natural Language (Short paper).- Combining Combination Properties: An Analysis of Stable-infiniteness, Convexity, and Politeness.- Decidability of difference logic over the reals with uninterpreted unary predicates.- Incremental Rewriting Modulo SMT.- Iscalc: an Interactive Symbolic Computation Framework (System Description).

Read more less

Book SynopsisThis book constitutes the proceedings of the 12th International Conference on Biomimetic and Biohybrid Systems, Living Machines 2022, in Genoa, Italy, held in July 19–22, 2022. The 44 full papers and 14 short papers presented were carefully reviewed and selected from 67 submissions. They deal with research on novel life-like technologies inspired by the scientific investigation of biological systems, biomimetics, and research that seeks to interface biological and artificial systems to create biohybrid systems. The conference aims to highlight the most exciting research in both fields united by the theme of “Living Machines.”Table of ContentsModel reveals joint properties for which co-contracting antagonist muscles increases joint stiffness.- Biarticular muscles improve the stability of a neuromechanical model of the rat hindlimb.- Multimodal Parameter Inference for a Canonical Motor Microcircuit Controlling Rat Hindlimb Motion.- Towards a Soft Artificial Larynx: A Biomimetic Design.- A multibody approach for the finger force estimation of a robotic hand.- A Pneumatic Bending Actuator System Inspired by the Avian Tendon Locking Mechanism.- Study and preliminary modeling of microstructure and morphology of the elephant trunk skin.- Development of a Robotic Rat Hindlimb Model.- Toward a more realistic 3D biomimetic soft robotic tongue to investigate oral processing of semi-solid foods.- Optimization of Kirigami-Inspired Fingers Grasping Posture in Virtual Environments.- BrainX3: A neuroinformatic tool for interactive exploration of multimodal brain datasets.- Sporify: An Automated Tool to Quantify Spores in Z-Stacked 3D Samples.- A Comparison of Absolute and Relative Neural Encoding Schemes in Addition and Subtraction Functional Subnetworks.- GANGLIA: A tool for designing customized neuron circuit patterns.- The Tall, the Squat,and the Bendy: Parametric Modeling and Simulation Towards Multi-functional Biohybrid Robots.- A Simple Dynamic Controller for Emulating Human Balance Control.- Motivational modulation of consummatory behaviour and learning in a robot model of spatial navigation.- Topical grouping of thousands of Biomimetics articles according to their goals, results and methods.- Biomimetics Analyzed: Examples from an Epistemological and Ontological Perspective.- Feed Me: Robotic Infiltration of Poison Frog Families.- Triboelectric charging during insect walking on leaves: a potential tool for sensing plant-insect interactions.- Slug Battery: An Enzymatic Fuel Cell Tested in vitro in Aplysia californica Hemolymph.- Mycelium Bridge as a Living Electrical Conductor: Access Point to Soil Infosphere.- Living organisms as sensors for biohybrid monitoring systems.- Autonomous versus Manual Control of a Pasture Sanitation Robot.- A novel steerable catheter controlled with a biohybrid actuator: a feasibility study.

Read more less

Book SynopsisThis book constitutes the refereed proceedings of the 19th International Conference on Mobile Web and Intelligent Information Systems, MobiWIS 2023, held in Marrakech, Morocco, during August 14–16, 2023.The 18 full papers and 1 short papers presented in this book were carefully reviewed and selected from 54 submissions. The papers are divided into the following topical sections: smart and intelligent systems; digital systems in healthcare services; SDN, IoT and edge computing; mobile interfaces and interactivity; machine learning and stochastic methods; and advanced mobile applications. Table of ContentsSmart and Intelligent Systems: Factors Affecting Mobile Augmented Reality Acceptance: A Study on Traveler Information in Public Transport.- RSITS: Road safety Intelligent Transport System in Deep Federated Learning Assisted Fog Cloud Networks.- Gamified DAOs as Blockchain-Based Catalysts for Prosocial and Environmentally Oriented Cities.- Digital Systems in Healthcare Services: Harnessing the Digital Revolution: A Comprehensive Review of mHealth Applications for Remote Monitoring in Transforming Healthcare Delivery.- Medical Test Results Management System based on Blockchain, Smart Contracts, and NFT Technologies.- Intelligent Identification of Respiratory Diseases: Covid-19 and Similar Virus Cases.- SDN, IoT and Edge Computing: Minimizing User Connectivity Costs and Latency between controllers and switch-controllers for Software Defined Networking.- Fuzzy Data Deduplication at Edge Nodes in Connected Environments.- Towards Liquid AI in IoT with Web Assembly: A Prototype Implementation.- Mobile Interfaces and Interactivity: Interactive Behavior Change Model (IBCM 8.0): Theory & Ontology.- A Comparison of YOLOv5 and YOLOv8 in the Context of Mobile UI Detection.- Urban Data Platforms as Added-value Systems for Citizens.- Machine Learning and Stochastic Methods: Optimisation of a Chemical Process by using Machine Learning Algorithms with Surrogate Modeling.- Granular Traceability between Requirements and Test Cases for Safety Critical Software Systems.- Maximizing Signal to Interference Noise Ratio for Massive MIMO: A Stochastic Neurodynamic Approach.- Advanced Mobile Applications: Towards a cash-on-delivery system based on Blockchain technology for developing countries: a case study in Vietnam.- MITRE ATT&CK threat modelling extensions for mobile threats.- Virtual Career Advisor System.

Read more less

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

Read more less

Book SynopsisThis book constitutes the proceedings of the 31st International Conference on Case-Based Reasoning Research and Development, ICCBR 2023, which took place in Aberdeen, UK, in July 2023. The 26 full papers included in this book were carefully reviewed and selected from 79 submissions. The papers have been organized in topical sections as follows: CBR and deep learning; representation and similarity; CBR and explainable AI; case base maintenance; adaptation: techniques and application; and case-based applications.Table of ContentsCBR and Deep Learning.- Examining the Impact of Network Architecture on Extracted Feature Quality for CBR.- Synergies between Case-based Reasoning and Deep Learning for Survival Analysis in Oncology.- CBR Assisted Context-Aware Surface Realisation for Data-to-Text Generation.- Representation and Similarity.- Explanation of Similarities in Process-Oriented Case-Based Reasoning by Visualization.- On-demand and model-driven case building based on distributed data sources.- The Case for Circularities in Case-Based Reasoning.- A Contextual Information-augmented Probabilistic Case-based Reasoning Model for Knowledge Graph Reasoning.- Case-based Sample Generation using Multi-Armed Bandits.- Hybrid Event Memory as a Case Base for State Estimation in Cognitive Agents.- CBR and Explainable AI Cases are King: A User Study of Case Presentation to Explain CBR Decisions.- CBR driven Interactive Explainable AI.- Selecting Explanation Methods for Intelligent IoT Systems: a Case-Based Reasoning Approach.- Case Based Explanation for Time Series Forecasting Models.- Case Base Maintenance.- Group Fairness in Case-Based Reasoning.- Addressing Underestimation Bias in CBR through Case-Base Maintenance.- The Problem Drift Problem and First Steps Towards Addressing It.- Adaptation: Techniques and Application Case-Based Adaptation of Argument Graphs with WordNet and Large Language Models.- Failure-Driven Transformational Case Reuse of Explanation Strategies in CloodCBR.- A Case-Based Approach for Workflow Flexibility by Deviation.- Lazy Adaptation Knowledge Learning based on Frequent Closed Itemsets.- Case-Based Applications.- An Overview and Comparison of Case-Based Reasoning Frameworks.- Case-Based Cleaning of Text Images.- A Multi-agent Case-based Reasoning Intrusion Detection System Prototype.- A Case-Based Reasoning Approach to Company Sector Classification Using a Novel Time-Series Case Representation.- An Integrated Approach to Predicting the Influence of Reputation Mechanisms on Q&A Communities.- Retrieval of similar cases to improve the diagnosis of diabetic retinopathy.

Read more less

Book SynopsisThis book constitutes the proceedings of the 27th International Conference on Implementation and Application of Automata, CIAA 2023, held in Famagusta, North Cyprus, during September 19–22, 2023. The 20 regular papers presented in this book together with invited talks were carefully reviewed and selected from 30 submissions. The topics of the papers cover various fields in the application, implementation, and theory of automata and related structures.Table of ContentsFinite automata as verifiers.- Binary Coded Unary Regular Languages.- A Survey on Automata with Translucent Letters.- Earliest Query Answering for Deterministic Stepwise Hedge Automata.- Constrained Multi-Tildes.- On the smallest synchronizing terms of finite tree automata.- Universal First-Order Quantification over Automata.- Average Complexity of Partial Derivatives for Synchronised Shuffle Expressions.- Sweep complexity revisited.- The Pumping Lemma for Regular Languages is Hard.- M-equivalence of Parikh Matrix over a Ternary Alphabet.- Operational Complexity in Subregular Classes.- When Is Context-Freeness Distinguishable from Regularity? An Extension of Parikh's Theorem.- Enhanced Ternary Fibonacci Codes.- Sweeping Input-Driven Pushdown Automata.- Verified Verifying: SMT-LIB for Strings in Isabelle.- Weighted Bottom-up and Top-down Tree Transformations Are Incomparable.- Deciding whether an Attributed Translation can be realized by a Top-Down Transducer.- A time to cast away stones.- Two-way Machines and de Bruijn Words.- Transduction of Automatic Sequences and Applications.- Measuring Power of Generalised Definite Languages.- Smaller Representation of Compiled Regular Expressions.

Read more less

Book SynopsisThis volume set constitutes the refereed proceedings of the 16th International Conference on Knowledge Science, Engineering and Management, KSEM 2023, which was held in Guangzhou, China, during August 16–18, 2023. The 114 full papers and 30 short papers included in this book were carefully reviewed and selected from 395 submissions. They were organized in topical sections as follows: knowledge science with learning and AI; knowledge engineering research and applications; knowledge management systems; and emerging technologies for knowledge science, engineering and management. Table of ContentsKnowledge Science with Learning and AI.- ​Joint Feature Selection and Classifier Parameter Optimization: A Bio-inspired Approach.- Automatic Gaussian Bandwidth Selection for Kernel Principal Component Analysis.- Boosting LightWeight Depth Estimation Via Knowledge Distillation.- Graph Neural Network with Neighborhood Reconnection.- Critical Node Privacy Protection Based on Random Pruning of Critical Trees.- DSEAformer: Forecasting by De-stationary Autocorrelation with Edgebound.- Multitask-based Cluster Transmission for Few-Shot Text Classification.- Hyperplane Knowledge Graph Embedding with Path Neighborhoods and Mapping Properties.- RTAD-TP: Real- Time Anomaly Detection Algorithm for Univariate Time Series Data Based on Two- Parameter Estimation.- Multi-Sampling Item Response Ranking Neural Cognitive Diagnosis with Bilinear Feature Interaction.- A Sparse Matrix Optimization Method for Graph Neural Networks Training.- Dual-dimensional Refinement of Knowledge Graph Embedding Representation.- Contextual Information Augmented Few-Shot Relation Extraction.- Dynamic and Static Feature-aware Microservices Decomposition via Graph Neural Networks.- An Enhanced Fitness-distance Balance Slime Mould Algorithm and Its Application in Feature Selection.- Low Redundancy Learning for Unsupervised Multi-view Feature Selection.- Dynamic Feed-Forward LSTM.- Black-box Adversarial Attack on Graph Neural Networks Based on Node Domain Knowledge.- Role and Relationship-Aware Representation Learning for Complex Coupled Dynamic Heterogeneous Networks.- Twin Graph Attention Network with Evolution Pattern Learner for Few-Shot Temporal Knowledge Graph Completion.- Subspace Clustering with Feature Grouping for Categorical Data.- Learning Graph Neural Networks on Feature-Missing Graphs.- Dealing with Over-reliance on Background Graph for Few-shot Knowledge Graph Completion.- Kernel-based feature extraction for time series clustering.- Cluster Robust Inference for embedding-based Knowledge Graph Completion.- Community-enhanced Contrastive Siamese networks for Graph Representation Learning.- Distant Supervision Relation Extraction with Improved PCNN and Multi-level Attention.- Enhancing Adversarial Robustness via Anomaly-aware Adversarial Training.- An Improved Cross-Validated Adversarial Validation Method.- EACCNet: Enhanced Auto-Cross Correlation Network for Few-Shot Classification.- Joint Label-Structure Estimation from Multifaceted Graph Data.- Dual Channel Knowledge Graph Embedding with Ontology Guided Data Augmentation.- Multi-Dimensional Graph Rule Learner.- MixUNet: A Hybrid Retinal Vessels Segmentation Model Combining The Latest CNN and MLPs.- Robust Few-shot Graph Anomaly Detection via Graph Coarsening.- An Evaluation Metric for Prediction Stability with Imprecise Data.- Reducing The Teacher-Student Gap Via Elastic Student.

Read more less

Book SynopsisThis volume set constitutes the refereed proceedings of the 16th International Conference on Knowledge Science, Engineering and Management, KSEM 2023, which was held in Guangzhou, China, during August 16–18, 2023. The 114 full papers and 30 short papers included in this book were carefully reviewed and selected from 395 submissions. They were organized in topical sections as follows: knowledge science with learning and AI; knowledge engineering research and applications; knowledge management systems; and emerging technologies for knowledge science, engineering and management. Table of ContentsKnowledge Engineering Research and Applications.- Knowing before Seeing: Incorporating Post-Retrieval Information into Pre-Retrieval Query Intention Classification.- LSRN: Live-Streaming Identification Based on Reasoning Network with Core Traffic Set.- Implicit Offensive Speech Detection Based on Multi-feature Fusion.- SIE-YOLOv5: Improved YOLOv5 for Small Object Detection in Drone-Captured-Scenarios.- Learning-based Dichotomy Graph Sketch for Summarizing Graph Streams with High Accuracy.- SNAFA-Net: Squared Normalization Attention and Feature Alignment for Visible-Infrared Person Re-identification.- A comparative study of chatbot response generation: traditional approaches versus large language models.- Investigating the Impact of Product Contours on User Perception of Product Attributes.- Conf-UNet: A model for speculation on unknown Oracle Bone Characters.- An Efficient One-Shot Network and Robust Data Associations in Multi-Pedestrian Tracking.- Sampling Spatial-Temporal Attention Network for Traffic Forecasting.- ST-MAN: Spatio-Temporal Multimodal Attention Network for Traffic Prediction.- Sparse-view CT Reconstruction via Implicit Neural Intensity Functions.- Tennis action recognition based on multi-branch mixed attention.- Cascade Sampling via Dual Uncertainty for Active Entity Alignment.- Template Shift and Background Suppression for Visual Object Tracking.- Reversible Data Hiding in Encrypted Images Based on A Multi-Granularity Adaptive Classification Mechanism.- Enhanced Entity Interaction Modeling for Multi-modal Entity Alignment.- Monte Carlo Medical Volume Rendering Denoising via Auxiliary Feature Guided Self-Attention and Convolution Integrated.- View Distribution Alignment with Progressive Adversarial Learning for UAV Visual Geo-Localization.- HBay: Predicting Human Mobility via Hyperspherical Bayesian Learning.- Spatial-Temporal Diffusion Probabilistic Learning for Crime Prediction.- DBA: An Efficient Approach to Boost Transfer-based Adversarial Attack Performance through Information Deletion.- A Graph Partitioning Algorithm Based on Graph Structure and Label Propagation for Citation Network Prediction.- Hybrid Heterogeneous Graph Neural Networks for Fund Performance Prediction.- WGCN: A Novel Wavelet Graph Neural Network for Metro Ridership Prediction.- GMiRec: A Multi-image Visual Recommendation Model based on a Gated Neural Network.- Semi-supervised entity alignment via noisy student-based self training.- Modeling Chinese Ancient Book Catalog.- JOINT EXTRACTION OF NESTED ENTITIES AND RELATIONS BASED ON MULTI-TASK LEARNING.- A Grasping System with Structured Light 3D Machine Vision Guided Strategy Optimization.- A Cognitive Knowledge Enriched Joint Framework for Social Emotion and Cause Mining.- TKSP: Long-term Stance Prediction for Social Media Users by Fusing Time Series Features and Event Dynamic Evolution Knowledge.- A Cross-Document Coreference Resolution Approach to Low-Resource Languages.- Network Flow Based IoT Anomaly Detection Using Graph Neural Network.- Disentangled Multi-factor Graph Neural Network for Non-coding RNA-drug Resistance Association Prediction.

Read more less

Book SynopsisThis volume set constitutes the refereed proceedings of the 16th International Conference on Knowledge Science, Engineering and Management, KSEM 2023, which was held in Guangzhou, China, during August 16–18, 2023. The 114 full papers and 30 short papers included in this book were carefully reviewed and selected from 395 submissions. They were organized in topical sections as follows: knowledge science with learning and AI; knowledge engineering research and applications; knowledge management systems; and emerging technologies for knowledge science, engineering and management. Table of ContentsKnowledge Management Systems.- Explainable Multi-type Item Recommendation System based on Knowledge Graph.- A 2D Entity Pair Tagging Scheme for Relation Triplet Extraction.- MVARN: Multi-view attention relation network for figure question answering.- MAGNN-GC: Multi-Head Attentive Graph Neural Networks with Global Context for Session-based Recommendation.- Chinese Relation Extraction with Bi-directional Context-based Lattice LSTM.- MA-TGNN: Multiple Aggregators Graph-Based Model for Text Classification.- Multi-Display Graph Attention Network for Text Classification.- Debiased Contrastive Loss for Collaborative Filtering.- ParaSum: Contrastive Paraphrasing for Low-resource Extractive Text Summarization.- Degree-aware embedding and Interactive feature fusion-based Graph Convolution Collaborative Filtering.- Hypergraph Enhanced Contrastive Learning for News Recommendation.- Reinforcement Learning-Based Recommendation with User Reviews on Knowledge Graphs.- A Session Recommendation Model based on Heterogeneous Graph Neural Network.- Dialogue State Tracking with a Dialogue-aware Slot-Level Schema Graph Approach.- FedDroidADP: An Adaptive Privacy-Preserving Framework for Federated-Learning-based Android Malware Classification System.- Multi-level and Multi-interest User Interest Modeling for News Recommendation.- CoMeta: Enhancing Meta Embeddings with Collaborative Information in Cold-start Problem of Recommendation.- A Graph Neural Network for Cross-Domain Recommendation Based on Transfer and Inter-Domain Contrastive Learning.- A Hypergraph Augmented and Information Supplementary Network for Session-based Recommendation.- Candidate-aware Attention Enhanced Graph Neural Network for News Recommendation.- Heavy Weighting for Potential Important Clauses.- Knowledge-Aware Two-Stream Decoding for Outline-Conditioned Chinese Story Generation.- Multi-Path based Self-Adaptive Cross-Lingual Summarization.- Temporal Repetition Counting Based on Multi-Stride Collaboration.- Multi-layer Attention Social Recommendation System based on Deep Reinforcement Learning.- SPOAHA: Spark program optimizer based on Artificial Hummingbird Algorithm.- TGKT-based Personalized Learning Path Recommendation with Reinforcement Learning.- Fusion High-Order information with Nonnegative Matrix Factorization Based Community Infomax for Community Detection.- Multi-task learning based skin segmentation.- User Feedback-based Counterfactual Data Augmentation for Sequential Recommendation.- Citation Recommendation Based on Knowledge Graph and Multi-task Learning.- A Pairing Enhancement Approach for Aspect Sentiment Triplet Extraction.- The Minimal Negated Model Semantics of Assumable Logic Programs.- MT-BICN: Multi-task Balanced Information Cascade Network for Recommendation.

Read more less

Book SynopsisThis volume set constitutes the refereed proceedings of the 16th International Conference on Knowledge Science, Engineering and Management, KSEM 2023, which was held in Guangzhou, China, during August 16–18, 2023. The 114 full papers and 30 short papers included in this book were carefully reviewed and selected from 395 submissions. They were organized in topical sections as follows: knowledge science with learning and AI; knowledge engineering research and applications; knowledge management systems; and emerging technologies for knowledge science, engineering and management. Table of ContentsEmerging technologies for Knowledge science, engineering and management.- Federated Prompting and Chain-of-Thought Reasoning for Improving LLMs Answering.- Advancing Domain Adaptation of BERT by Learning Domain Term Semantics.- Deep Reinforcement Learning for Group-Aware Robot Navigation in Crowds.- An Enhanced Distributed Algorithm for Area Skyline Computation based on Apache Spark.- TCMCoRep: Traditional Chinese Medicine data mining with Contrastive Graph Representation Learning.- Local-Global Fusion Augmented Graph Contrastive Learning Based on Generative Models.- PRACM: Predictive Rewards for Actor-Critic with Mixing Function in Multi-Agent Reinforcement Learning.- A Cybersecurity Knowledge Graph Completion Method for Scalable Scenarios.- Research on remote sensing image classification based on Transfer learning and Data Augmentation.- Multivariate Long-Term Traffic Forecasting with Graph Convolutional Network and Historical Attention Mechanism.- Multi-hop Reading Comprehension Learning Method Based on Answer Contrastive Learning.- Importance-based Neuron Selective Distillation for Interference Mitigation in Multilingual Neural Machine Translation.- Are GPT Embeddings Useful for Ads and Recommendation?.- Modal interaction-enhanced Prompt Learning by transformer decoder for Vision-Language Models.- Unveiling Cybersecurity Threats from Online Chat Groups: A Triple Extraction Approach.- KSRL: Knowledge Selection based Reinforcement Learning for Knowledge-Grounded Dialogue.- Prototype-Augmented Contrastive Learning for Few-shot Unsupervised Domain Adaptation.- Style Augmentation and Domain-aware Parametric Contrastive Learning for Domain Generalization.- Recent Progress on Text Summarisation Based on BERT and GPT.- Ensemble Strategy Based on Deep Reinforcement Learning for Portfolio Optimization.- A Legal Multi-Choice Question Answering Model Based on BERT and Attention.- Offline Reinforcement Learning with Diffusion-Based Behavior Cloning Term.- Evolutionary Verbalizer Search for Prompt-based Few Shot Text Classification.- Graph Contrastive Learning Method with Sample Disparity Constraint and Feature Structure Graph for Node Classification.- Learning Category Discriminability for Active Domain Adaptation.- Multi-Level Contrastive Learning for Commonsense Question Answering.- Efficient Hash Coding for Image Retrieval based on Improved Center Generation and Contrastive Pre-training Knowledge Model.- Univarite Time Series Forecasting via Interactive Learning.- Task Inference for Offline Meta Reinforcement Learning via Latent Shared Knowledge.- A Quantitative Spectra Analysis Framework Combining Mixup and Band Attention for Predicting Soluble Solid Content of Blueberries.- Contextualized Hybrid Prompt-Tuning for Generation-Based Event Extraction.- udPINNs: An Enhanced PDE Solving Algorithm Incorporating Domain of Dependence Knowledge.- Joint Community and Structural Hole Spanner Detection via Graph Contrastive Learning.- A Reinforcement Learning-based Approach for Continuous Knowledge Graph Construction.- A Multifactorial Evolutionary Algorithm based on Model Knowledge Transfer.- Knowledge Leadership, AI Technology Adoption and Big Data Application Ability.- RFLSem: A lightweight model for textual sentiment analysis.

Read more less

Book SynopsisThis book constitutes the refereed proceedings of the 26th International Conference on Text, Speech, and Dialogue, TSD 2023, held in Pilsen, Czech Republic, during September 4–6, 2023. The 31 full papers presented together with the abstracts of 3 keynote talks were carefully reviewed and selected from 64 submissions. The conference attracts researchers not only from Central and Eastern Europe but also from other parts of the world. One of its goals has always been bringing together NLP researchers with various interests from different parts of the world and promoting their cooperation. One of the ambitions of the conference is, not only to deal with dialogue systems but also to improve dialogue among researchers in areas of NLP, i.e., among the “text” and the “speech” and the “dialogue” people.Table of Contents​Text: Japanese How-to Tip Machine Reading Comprehension by Multi-task Learning based on Generative Model.- One model to rule them all: ranking Slovene summarizers.- Searching for Reasons of Transformers’ Success: Memorization vs Generalization.- A Dataset and Strong Baselines for Classification of Czech News Texts.- Resolving Hungarian Anaphora with ChatGPT.- Advancing Hungarian Text Processing with HuSpaCy: Efficient and Accurate NLP Pipelines.- ParaDiom - A Parallel Corpus of Idiomatic Texts.- Measuring Sentiment Bias in Machine Translation.- Mono- and multilingual GPT-3 models for Hungarian.- The Unbearable Lightness of Morph Classification.- A German Parallel Clausal Coordinate Ellipsis Corpus that Aligns Sentences from the TüBa-D/Z Treebank with Reconstructed Canonical Forms.- Speech: Identifying Subjects Wearing a Mask from the Speech by Means of Encoded Speech Representations.- Impact of Including Pathological Speech in Pre-Training on Pathology Detection.- Morphological Tagging and Lemmatization of Spoken Corpora of Czech.- HATS: An Open data set Integrating Human Perception Applied to the Evaluation of Automatic Speech Recognition Metrics.- Online Speaker Diarization Using Optimized SE-ResNet Architecture.- CML-TTS: A Multilingual Dataset for Speech Synthesis in Low-Resource Languages (Speech (in general), Corpora and Language Resources, Spe.- Developing State-of-the-Art End-to-End ASR for Norwegian.- VITS: Quality vs. Speed Analysis.- When Whisper Meets TTS: Domain Adaptation Using Only Synthetic Speech Data.- Unsupervised Learning for Automatic Speech Recognition In Air Traffic Control Environment.- The Effect of Human-Likeliness in French Robot-Directed Speech: A Study of Speech Rate and Fluency.- An online diarization approach for streaming applications based on tree-clustering and Bayesian resegmentation.- Evaluation of Speech Representations for MOS prediction.- Unified Modeling of Multi-Domain Multi-Device ASR Systems.- Voice Cloning for Voice Disorders: Impact of Phonetic Content.- Towards End-to-end Speech-to-text Summarization.- Multilingual TTS Accent Impressions for Accented ASR.- Transfer Learning of Transformer-based Speech Recognition Models from Czech to Slovak.- Automatic Pronunciation Assessment of Non-native English based on Phonological Analysis.- Language Generalization using Active Learning in the context of Parkinson’s Disease Classification.

Read more less