Artificial intelligence (AI) Books

Book Synopsis.- A lane detection method based on fusion of large kernel attentionmechanism..- A Study on Enhancing Graph-Based Knowledge Tracing through Question Interaction..- Radiology report generation based on multi-scale feature fusion and enhancement..- Spatio-Temporal Focus with Active Learning in Sparse Black-Box Adversarial Attacks for Video Recognition..- An Improved Point Cloud Registration Algorithm Based on Feature Point Extraction..- YOLOv8-FGE: A lightweight mouse behavior detection algorithm..- A Dual Encoder U-Net for Multi-Scale 3D Medical Image Segmentation..- A Gas Concentration Prediction Model Based on SBLPformer..- A MOTRv2-based UAV multi-target tracking model EL-MOTR..- Prediction of Typhoon Cloud Maps Based on Self Attention Memory Spatiotemporal Model..- Information-theoretic Deep Quantification for Unsupervised Cross-modal Hashing..- Research on SwinT-SOLOv2 Modeling for Instance Segmentation..- An Overview of Abnormal Data Recovery in Power Systems..- An Overview of Full-cycle Data Security For Drone Inspection..- A Restoration Method Based on Color Compensation and Depth Prior Using a Revised Underwater Imaging Model..- Real-time Student Behavior Analysis via YOLOv5 with Coordinate Attention..- GD-RRT*: An Improved RRT* Path Planning Algorithm Combining Gaussian Distributed Sampling and Depth Strategy for fruit-picking robot..- UAV Swarm Air Combat Strategies Research based on Multi-Agent Reinforcement Learning and Rule Coupling..- Photovoltaic Power Prediction Based on Machine Learning Fusion Algorithm..- Multi-modal Spatio-Temporal Transformer for Defect Recognition of Substation Equipment..- A Comprehensive Cross-Phase Feature Fusion Method for Multi-phase Liver Tumor Segmentation in Enhanced CT Images..- OneStar: Efficient Template-Separable Hierarchical Transformer Tracking for Edge Computing..- A multi-view graph neural network approach for magnetic resonance imaging-based diagnosis of knee injuries..- Mitigating Multimodal Large Language Model Hallucinations through Direct Preference Optimization..- Briefness-Oriented prompting elicits faithfulness in LVLM..- A Novel Group Block Attention Module for Lung CT Image Segmentation..- Layered Clothing Detection Based on Improved YOLOV9..- Strategic Medical Text Classification with Improved Blending Ensemble Learning..- HDCP: Hierarchical Dual Cross-modality Prompts Guided RGB-D Fusion for 6D Object Pose Estimation..- Dense Images Of Honey Bees..- Application of an Improved Residual Attention Neural Network in Mechanical Part Classification..- Genetic Algorithm-Optimized Random Forest for Grid Fault Prediction.

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Book SynopsisChapter 1: From Concept to Practice- How Managers are Integrating AI into Business Marketing.- Chapter 2: New Technologies in Casino Marketing.- Chapter 3: AI-Driven Facial Emotion Analysis for Customer Emotion Recognition - an explanatory study.- Chapter 4: Application of AI in E-Commerce Strategies: the Current State among Swiss E-Commerce Providers.- Chapter 5: Generative AI Adoption and Use by Micro-enterprises: Validation of the Measurement Instrument.- Chapter 6: Portuguese Perception about Artificial Intelligence: A Pilot Study.- Chapter 7: Robotic Process Automation - A Comparative Analysis of the Current Market Solutions.- Chapter 8: Hey Robot, Here's My Data: The Impact of AI on Joining Digital B2B Platforms.- Chapter 9: Evolutionary Scenario of Brand Management and Communication, Through the Integration of AI: A Bibliometric Analysis.- Chapter 10: The Role of AI in B2B E-business.- etc.

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Book SynopsisChapter 1: E-government business model based on blockchain: Examining citizens' readiness.- Chapter 2: Digital Transformation at Delta Cafés in Portugal: A case study.- Chapter 3: Cost-effective and operationally sustainable supply chain inventory planning: a mathematical programming approach.- Chapter 4: Business Intelligence and Operations Research in Supply Chain Management: A Systematic Review.- Chapter 5: Internal Connection Intensity as Logistic and Marketing Indicator of Museum Clusters Performance.- Chapter 6: Sustainable Supply Chain Strategies: A Review of EU Policies and Blockchain Implementations (2019-2024).- Chapter 7: Machine learning for cargo code prediction in port logistics.- Chapter 8: Integrating Artificial Intelligence and the Internet of Things for Environmental Monitoring in Seaports: A dynamic model for reducing CO2 emissions.- Chapter 9: Logistics 4.0 and Digital Supply Chain: A Systematic Review.- Chapter 10: Port-Centric Strategies for Optimizing Agro-Commodity Supply Chains: Insights from Soybean Flow Redesign.- etc.

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Book Synopsis.- Cognitive and Computational Foundations of Brain Science. .- Gossamer: Scaling Image Processing and Reconstruction to Whole Brains..- Comparison of Haloperidol- Versus Phenazepam-induced Anxiolytic Effect on Rodent Behavior..- Effect of Temporal Correlation on Motion Direction Flips in Bistable Stimuli..- Unveiling the Role of Memory in Shaping Visual Perception: Empirical Insights..- An Auxiliary Diagnosis Method for Mild Cognitive Impairment Based on Structural Magnetic Resonance Image..- The Role of Executive Functions in Emotional Coregulation: Insights from an Adaptive Network Model..- Identification and Evaluation of Multimodal Connectomics in Early Alzheimer's Dementia..- Investigations of Human Information Processing Systems. .- Multiscale Temporal-convolution and Attention improved Neural Network for Biased Mental State Recognition..- Sleep Apnea Detection from Single-lead ECG Signal using Hybrid Deep CNN..- When Sexy Avatars Get Weird: How Brain Asymmetry and Oculomotor Dynamics Navigate the Uncanny..- Developing a Multi-Site Hyperscanning Procedure for Investigating Interbrain Synchrony Underlying Remote Social Interaction..- Dual-Structural Representation Learning with Attention-Based Graph Fusion for Hierarchical MCI-AD Diagnosis..- Neurocomputational Modelling of EEG Connectivity: Links Between Depression, Inflammation, and Gut Microbiome..- Brain Big Data Analytics, Curation and Management. .- Design of an Iterative Method for Integrating Multi-Omic Data and Clinical Insights in Brain Disease Research..- Multimodal Physiological Signal Analysis using Attention-Based Feature and Model Fusion..- Topological and Graph Theoretical Analysis of Dynamic Functional Connectivity for Autism Spectrum Disorder..- Deep Learning Methods to Evaluate Privacy and Quality of Skull-Stripped Brain Image..- Topological Inference for Seizure Lateralization..- Explainable GRU with Hybrid Attention and Memory-Augmented Network (xGRAM) for Cell Types Classification in Alzheimer's Disease Using Single-Nucleus Transcriptomics..- BRAINEX: A Systematic Framework for CNN Models Evaluation and XAI Methods Comparison in Brain Age Prediction..- Replication of the Hermann Grid Illusion By U-Net Deep Learning Architecture Performing Deblurring: A Low-Level Visual Task..- SmartStitcher: A Terabyte-level 3D Microscopic Image Stitching Tool Based on Mixed-Max-Resolution..- Informatics Paradigms for Brain and Mental Health Research. .- A Comparison of ANN-Optimization and Logistic Regression? An Example of the Acceptance of EEG Devices..- The Dynamics of Epigenetic Influence in Insomnia: A Higher-Order Adaptive Modeling Perspective..- Higher-order Adaptive Dynamical System Modeling for the Role of Environmental Neurotoxic Pesticide Paraquat on the Epigenetics of Neurodegeneration in N27 Dopaminergic Cells..- Advancing Mental Health Problems with Machine Learning and Genetic Algorithms for Anxiety Classification in Bangladeshi University Students..- Empirical Insights into the Value of a Novel Compositional Data Approach for Analyzing Bipolar Likert Scale Data..- From Alzheimer's Disease to Frontotemporal Dementia: Transfer Learning in EEG-based Diagnosis of Dementia..- Brain-Machine Intelligence and Brain-Inspired Computing. .- A Novel Class Incremental Learning Method via Multi-granularity Balance Inspired by Human Granular Cognition Mechanism..- A Computational Model for Estimating NMDA Properties from Local Field Potential Spectra..- Modelleyen: Continual Learning and Planning via Structured Modelling of Environment Dynamics..- Evaluating the Potential of Low-Cost BCI Devices for Online Classification of Four-Class Motor Imagery States..- Gradient Ascent Activity-based Credit Assignment with History-dependent Reward..- EEG Biomarkers based on Microstates and RQA..- Evaluating Feature Importance in the Context of Simulation-Based Inference for Cortical Circuit Parameter Estimation.

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Book Synopsis.- The International Workshop on Generative AI Empowers Brain Signal Processing..- Brain Causality Modeling using Structure-guided Spatiotemporal Diffusion Model for MCI Analysis..- Spatiotemporal Feature Extraction and Fusion for Longitudinal Alzheimer's Disease Diagnosis..- Intelligent Diagnosis Platform for Alzheimer's Disease Based on Multimodal Knowledge Graph..- Federated Multi-source Domain Adaptation via Vision Transformer for Multi-site Alzheimer's Diagnosis..- Comparative Analysis of Channel Selection Methods for EEG-Based Emotion Recognition Balancing Accuracy and Efficiency..- DoA Assessment based on EEG DFA and Entropy Features..- The International Workshop on Web Intelligence meets Brain Informatics. .- A Multi-loop Reveals Different Neural Mechanisms of Inductive Reasoning in DLPFC and SPL..- The 4th Workshop on Environmental Adaptation and Mental Health (EAMH 2024). .- The Role of Episode Simulation in Influencing Junior Middle School Students' Future Time Insight and Subjective Well-being..- Self-determined or Non-self-determined? Research on the Influence of Internal and External Motivations on Fund Investment Decisions..- The International Workshop on Application of Artificial Intelligence and Innovative Technologies in Brain Informatics and Health (AAIITBIH 2024). .- A VRBCI System to Support Rehabilitation for Stroke Patients..- Integrating Multimodal Spatiotemporal Brain Data with Spiking Neural Networks..- The International Workshop on Reconstruction and Modeling of the Brain at the Single-Cell Level (RMBSCL 2024). .- High Throughput Training Label Generation from Whole Brain Images..- The International Workshop on Mesoscopic Brain-wide Connectivity Atlas in Brainsmatics (MBCAB2024). .- Sex Differences in Brain Information Processing: Insights from Specific Brain Regions and Hemispheric Connectivity..- The 4th Special Session on Explainable Artificial Intelligence for Unveiling the Brain: From the Black-Box to the Glass-Box (XAIB 2024). .- Probing Temporal Filters of Vision via a Falsifiable Model of Flicker Fusion..- A Convolutional Neural Network with Feature Selection for Generating Explainable 1D Image Information for Brain Disease Diagnosis..- The International Workshop on Elucidation of Mechanistic Information using Neuroimaging for Psychiatric Disorders (EMINPD 2024). .- White Matter Integrity in Youth with Suicide Ideation/Suicide Attempt, Major Depressive Disorder, and Comorbidities: A Diffusion Tensor Imaging Study..- Imaging Analysis of Calcium Activities in Brain Organoid Model of Neuropsychiatric Disorder.

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Book Synopsis.- Algorithm analysis..- Visual Explanations of Some Problematic Search Behaviors of Frequently Used EMO Algorithms..- Numerical Analysis of Pareto Set Modeling..- When Is Non-deteriorating Population Update in MOEAs Beneficial?..- Analysis of Merge Non-dominated Sorting Algorithm..- Comparative Analysis of Indicators for Multi-objective Diversity Optimization..- Performance Analysis of Constrained Evolutionary Multi-Objective Optimization Algorithms on Artificial and Real-World Problems..- On the Approximation of the Entire Pareto Front of a Constrained Multi objective Optimization Problem..- Small Population Size is Enough in Many Cases with External Archives..- Surrogates and machine learning..- Knowledge Gradient for Multi-Objective Bayesian Optimization with Decoupled Evaluations..- Surrogate Strategies for Scalarisation-based Multi-objective Bayesian Optimizers..- A Mixed-Fidelity Evaluation Algorithm for Efficient Constrained Multi- and Many-Objective Optimization: First Results..- Efficient and Accurate Surrogate-Assisted Approach to Multi-Objective Optimization Using Deep Neural Networks..- Large Language Model for Multiobjective Evolutionary Optimization..- Multi-Objective Multi-Agent Reinforcement Learning for Autonomous Driving in Mixed-Traffic Environments..- Parallel TD3 for Policy Gradient-based Multi-Condition Multi-Objective Optimisation..- Multi-criteria decision support..- Reliability-based MCDM Using Objective Preferences Under Variable Uncertainty..- An Efficient Iterative Approach for Uniformly Representing Pareto Fronts..- Preference Learning for Multi-objective Reinforcement Learning by Means of Supervised Learning..- Bayesian preference elicitation for decision support in multi-objective optimization.

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Book SynopsisIntroduction.- Building Blocks of Sharding Blockchain Systems.- Shard Reconfiguration Protocol Realizing Fairness.- Shard Reconfiguration Protocol Against Proof-of-Work Solution Withhold Attack.- Secure and Scalable Sharding Blockchain Utilizing Aggregation-Supported Multi-Signature.- Secure and Scalable Sharding Blockchain with a Formal Security Framework.- Secure and Scalable Sharding Blockchain Based on Cross-Shard Byzantine Fault Tolerance.- Sharding Blockchain Application in Cross-Domain Data Sharing Under Zero-Trust Cloud-Edge-End Environments.- Sharding Blockchain Application in Cross-Domain Authentication Management System.- Sharding Blockchain Application in Consensus Control and Formation Flying of Intelligent Systems.

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Book Synopsis.- AI for Brain Science..- Comparision of Brain Visual Cortex and CNN Under Continuous Object Property Space..- CoCoG-2: Controllable Generation of Visual Stimuli for Understanding Human Concept Representation..- Uncovering Cognitive Taskonomy Through Transfer Learning in Masked Autoencoder-based fMRI Reconstruction..- Interpersonal Relationship Analysis with Dyadic EEG Signals via Learning Spatial-Temporal Patterns..- Effect of Music Training in Neural Responses to Emotional Speech Prosody:  Insights from EEG and Brain Network Analysis..- Potential Indicator for Continuous Emotion Arousal by Dynamic Neural Synchrony..- Exploring EEG-Based Neural Correlates of Multivariate Ordinal Emotion Representations..- The Co-varying Multimodal Pattern in Treatment-resistant and Non-treatment-resistant Schizophrenia..- Investigating the Dynamics of Seizure Neuroactivities Using Hidden Markov Model..- Suppressing Seizure via Optimal Electrical Stimulation to The Hub of Epileptic Brain Network..- AI for Brain Technology..- SVFormer: A Direct Training Spiking Transformer for Efficient Video Action Recognition..- BL-BERT: Extracting Body Language from Behavior Sequences in Freely Moving Mice..- Benchmarking Neural Decoding Backbones towards Enhanced On-edge iBCI Applications..- Enhanced Local Attention with Deep Neural Networks for EEG Decoding..- Mirror Contrastive Loss Based Sliding Window Transformer for Subject-independent Motor Imagery Based EEG Signal Recognition. .- Active Urinary Detection using EEG Based on FBCNet..- D2CAN: Domain-guided Contrastive Adversarial Network for EEG-based Cross-subject Cognitive Workload Decoding..- Group-specific Fusion Model and its Application in Identifying Multimodal Co-varying Diagnostic Patterns for Psychiatric Disorders..- Multi-category Brain Tumor Segmentation via Multi-scale and Cross-category Relation Modeling..- Consistent Brain Age Difference in Childhood Autism Spectrum Disorder and its Subtypes..- Brain-Aware Readout Layers in GNNs: Advancing Alzheimer's early Detection and Neuroimaging..- TSICNet: Importance of Connectome Information for Epilepsy Classification..- Brain-inspired AI..- A Brain-Inspired Distributed Long-Term Memory Guided Online Continual Learning Method..- Memory Sequence Length of Data Sampling Impacts the Adaptation of Meta-Reinforcement Learning Agents..- Parameter-Efficient Fine-Tuning of ChatGLM to Mitigate Hallucinations in Chinese Abstractive Summarization..- TUN-GCA: A Novel Approach for Organ Segmentation in Nasopharyngeal Carcinoma CT Images..- Convolutional Neural Networks Based on Axial Counting Attention for Deburring Cross-sectional Images of Aluminum Profiles..- Assessing the Feasibility of using AI Models to Simplify Brain Imaging Reports for Patients: A Comparative Analysis of Four Large Language Models..- How Do Transformers Integrate Meanings? An Investigation Using Interpretable Brain-Based Componential Semantics in Two-Word Phrases.

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Book SynopsisPart 1. Blockchain with Machine Learning.- Chapter 1. Blockchain Analytics for Big Data.- Chapter 2. Machine Learning for Blockchain.- Part 2. Fostering Machine Learning and IoT for Blockchain to Develop Smart Cities Applications.- Chapter 3. Blockchain Application in Healthcare.- Chapter 4. Blockchain Application in Supply chain Management (SCM).- Chapter 5. Blockchain Application in Finance/Banking.- Chapter 6. Blockchain Application in Insurance.- Chapter 7. Blockchain Application in Real-State.- Chapter 8. Blockchain Application in Smart Energy-efficient Communications in Smart Cities.- Chapter 9. Blockchain Application in Smart Reinventing food and agriculture.- Chapter 10. Blockchain Application in Smart Water, Waste Water Management.- Chapter 11. Blockchain Application in Smart Cities Cyber-Physical Infrastructures.- Chapter 12. Blockchain Application in Smart Education.

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Book SynopsisPart 1. Blockchain Technology.- Chapter 1. Introduction to Blockchain Technology.- Chapter 2. Consensus Protocols.- Chapter 3. Blockchain Architecture and Development Process.- Chapter 4. Hyperledger Fabric.- Chapter 5. Private and Consortium Blockchain.- Part 2.- Blockchain with IoT.- Chapter 6. Introduction to IoT and Security Issues.- Chapter 7. Emergence of Blockchain in IoT.- Chapter 8. Blockchain and IoT the Broader Future with Hands-on Approach.

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Book Synopsis.- Simulation Theory and Methodology..- State of Health Estimation for Lithium-ion Batteries withan Attention-Integrated BiLSTM-MLP Hybrid Model..- A mapping method from experimental scenario to experimental system scheme..- A Toolbox for Simulation and Analysis ofStructured Light 3D Reconstruction Systems..- A deep reinforcement learning algorithm to bring about stabilization of Hindmarsh-Rose neural model..- Synchronization between two Hindmarsh-Rose neural models via deep reinforcement learning methodl..- EmuGuard: An Active Defense System For ICS Emulation..- Distributed Deep Reinforcement Learning Based Deterministic Task Offloading in End-Edge-Cloud Collaborative Computing Networks..- Survey of Ubiquitous Cyberspace Visualization Based on Ontology Engineering..- Simulation for CI scenario..- Towards Secure Multilayer Networks: Modeling and Robustness Analysis of 3IOTs..- Efficient Cross-domain Energy Sharing with lattice-based Aggregated Signature for Blockchain-enabled Smart Grid..- Comprehensive Analysis of Scenario Matching Techniques in Cyberspace Security..- A Lightweight DTLS Mechanism for New Power Systems Based on Edge Computing..- Adaptive Frequency and Delay Compensation in MultiAgent Systems: Enhancing Communication Efficiency and  Robustness..- An efficient switching mechanism of satellite and  terrestrial links for satellite internet and  simulation evaluation..- MSCVP: Multiscale Network Emulation Based on the  Integration of Modeling, Simulation, Container,  Virtualization, and Physical Networks..- Defense Methodology in the Evaluation..- Distributed Fiber Acoustic Sensing Home Anomaly Detection Technology Based on Lightweight YOLO..- MTMixAD: Metric-Trace Mixed Anomaly Detection Framework for Microservice Systems with Limited and Mislabeled Data..- HTTP DDoS Attack Detection Technology Based on PF-RING and Gaussian Naive Bayes in Containerized Environment..- A Novel Approach for Advanced Persistent Threats Detection via Graph Transformer..- Optimization Framework for Malware Detection Based on Adversarial Networks and Gradient Reversal..- LIDS: Enhancing Industrial IoT Network Security  through Lightweight Machine Learning-Powered Intrusion Detection System..- Efficient Intrusion Detection in Edge Computing with eBPF and Lightweight Networks..- Zypkro: A Node-Level Anomaly Detector for Provenance  Graphs Based on Nonlinear Interaction and Adaptive  Domain Techniques..- A Double-Shell Structured Ransomware Defense Method  Tailored for the RaaS Model..- Simulation for IoT scenario..- I-GATEPi: An adaptive and interpretable monitoring framework for complex industrial processes..- DSA-Former: Dual-Stage Attention for Soft Sensing in  Blast Furnace Ironmaking Process..- Power Prediction Model Based on CNN-LSTM with Dual- Stream Attention..- Modeling and prediction of gas consumption for  slab heating in steel rolling reheating furnace  based on gradient boosting decision tree with Bayesian optimization..- Adaptive Particle Swarm Optimization-Simulated Annealing for Complex Workshop Task Scheduling..- Self-Tuning Ensemble Empirical Mode Decomposition for  Industrial Oscillation Extraction..- Recovery of Control-loop Oscillations in Industrial Time Series with Missing Values.

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Book Synopsis.- Attack Methodology in the Evaluation ..- Directed Symbolic Execution Tool Based on Clang Static Analyzer: Efficient and Accurate Verification of Static Analysis Results..- A Survey on Covert Network Attack..- Review of Path Planning and Decision-Making in Automated Penetration Testing..- Dynamic Analysis of Attack Paths Based on Bayesian Attack Graph..- A Self-evolution Attack Tree Method Based on the MDATA Model for Attack Tactics Recommendation..- WFSCK: An Intelligent File System Check Recovery and Task Management Framework..- Power Analysis Attack Based on Chosen-plaintext..- Modeling and Assessing The Attack Behaviour of Weak Passwords Based on Attack Graph..- Other Simulation and Evaluation methods..- A Multispectral Pedestrian Detection Method Based on Feature Fusion..- Localization of small targets in smart grain warehouse based on VAE-LSTM..- Hybrid Indexing for Label-Constrained Reachability on Temporal Property Graphs..- Reverse Method for DGA Based on Generative BiLSTM  Model..- Enhancing Cross-Domain Data Analytics through MultiSource Transfer Learning..- A novel image encryption algorithm based on chaotic   tent mapping..- A Comparative Testing of Object Detection Model based on Adversarial Examples..- Exploring Occupational Gender Bias in Large Language Models of High-Resource Language..- FEDGA:FL with Dynamic Gradient and Group Normalization..- Evaluation Theory and Methodology..- Review of Fuzz Testing Techniques for Database Management Systems..- Correlation Analysis of Tor Traffic Based on RAINBOW Scheme in Cloud Computing Environment..- A hybrid framework for effective and efficient machine unlearning..- Enhancing Mixnets Security: Detecting and Isolating Malicious Nodes While Forcing Adversaries into Strategic Trade-offs..- Adaptive Web Crawling for Threat Intelligence Using a  Reinforcement Learning-Enhanced Large Language  Model..- Enhancing Continuous Cognitive Diagnosis with Fuzzy Strategy-Based Hybrid Genetic Algorithm..- An Attention-Based Fuzzy Logic Method for Enhancing Node Aggregations in Graph Neural Network..- Defense Methodology in the Evaluation I..- Privacy-preserving recommendation algorithm based on Federated Learning..- YOLOv8-MING: Research on privacy fall detection algorithm based on improved YOLOv8..- NetTrans: Robust Encrypted Network Traffic Analysis with Multi-modal Pre-training..- Language Game for Evading Privacy Disclosure Risks via LLM-based Multi-agent Simulation..- A Password Generation Scheme Excluding Personal Privacy Information.

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Book Synopsis.- Defense Methodology in the Evaluation ..- An improved DPoS consensus mechanism in blockchain based on PDHLTS..- A Novel Network Security Situation Prediction Scheme for  IIoT by Using LGF-Net..- Credit Card Fraud Detection with Imbalanced Small Data Using TabTransformer and Cost-Sensitive Learning..- Design and Cybersecurity for AIoT Systems..- A Research Survey on Network Intrusion Detection for AIoT..- A Retrieval-Augmented Framework Based on Knowledge Graphs and Vector Databases for Enhancing Large Language Model Performance..- Formal Modeling and Priority Handling Verification of Interrupt Injection in a Hypervisor..- Framework for Efficient Automated Alarm Analysis in Intelligent Connected Vehicles..- Metaverse and Simulation..- SG-LSBA: Semantic Latent Space Backdoor Attack on Stable Diffusion..- DLNN for E-commerce Recommendations: Time-Series Behavior Modeling..- An online predictive model for the caustic ratio in low-temperature alumina dissolution process..- Design and Implementation of Distributed Digital Twin Network based on Software-Defined Networks..- The Iterative Completion Mechanism for Entity Alignment Between Temporal Knowledge Graphs..- Secure loT and Blockchain -Enabled Solutions..- A Method for Internet Group User Behavior Simulation Based on Bidirectional Integrity Verification..- Mobile AI-Generated Content Data Sharing PrivacyPreserving Scheme for Logistics IoT in 6G Era-V3..- A traceable Threshold Signature Scheme in the Internet of Medical Things..- Real-Time Modeling and Simulation of Communication Environments Based on The Improved DGTD Method..- Research on One-Class Few-Shot Text Classification Method Based on Entailment..- CGP-Mamba: An Intrusion Detection Method Based on State Space Model..-  A Malicious Encrypted Traffic Detection Method Based on Hybrid CNN and Swin Transformer..- Software and Protocols Security Analysis..- An efficient and secure Authentication Protocol for Distributed Internet of Vehicle in Smart City..- A Secure and Efficient Multi-factor User Authentication Protocol..- A Novel High-performance Random Number Generation Algorithm..- A Lightweight Authentication Protocol for Smart Grids..- Research on Intelligent Traffic Orchestration Methods Based on SaaSification of Security Software..- Test and Evaluation for Cybersecurity..- A Robust Anti-Tamper Database Watermarking Technique Independent of Primary Keys..- Knowledge-Guided Reasoning Chain of Pre-trained LLM in Industrial Domain..- A Technical Overview of Docker Container Security Threats..- Exploration Study about LLM with Proper Prompt in Automated Program Repair..- Information Security Test and Evaluation of Intelligent and Connected Vehicles Based on Attack Technique and Tactics..- Construction and application of attack tactics and tactics system for intelligent connected vehicles.

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Book Synopsis.- Data Robustness..- A Study on Synthesizing Expressive Violin Performances: Approaches and Comparisons..- Towards User Autonomy in Electricity Market by Evaluating Incentive Sufficiency for Demand Response Participation..- Graph-Based Syntactic Analysis for Cross-Domain Fraud Messages Detection..- Image Analysis..- Dynamically searching and classifying images by using neural networks and reinforcement learning with the grid table..- MLDN-Net: Multi-level denoising neural network for wet fingerprint via cyclic multivariate function..- Training-free Zero-shot Composed Image Retrieval via Weighted Modality Fusion and Similarity..- Uncertainty-Error correlations in Evidential Deep Learning Models for Biomedical Segmentation..- Knowledge Representation and Management..- Causality-Driven Patent Valuation: Integrating Domain Knowledge and Language Models in a Structured Interview-Like Selection Process..- Rationale-Driven Predictions for Stock Movements: A Multi-Model Integration and Stack Generalization Approach..- An Adaptive Sample Selection Approach for Learning with Noisy Labels..- Games..- R-CoT: Reinforcement Chain of Thought Prompting for Task Specific Training..- A Lookup Table for Deficiency Number Calculation in Mahjong..- Player Models of Go Historical Master Figures..- Machine Learning and Applications..- An Intrusion Detection System for Heterogeneous OT- enabled Networks Using Hybrid Deep Learning Mode..- Ranking Comments for Bug Reports using Deep Learning..- Hand Gesture Recognition from sEMG Signals through Quantum Support Vector Machine..- AI Studies..- Enhancing Literature Reviews in Human-Machine Collaboration: A Comparative Analysis of Topic Modeling Methods in Computer Science..- Metal Price Prediction by Encoding Daily Insights of Sparse Macroeconomic Factors and Integrating Dynamic Asset Correlations..- Smart lighting control built on AI architecture..- Predicting 24-Hour Emergency Room Revisits: A Concept Bottleneck Approach..- JSAI Special Session 1..- Proposal on Dashboard Generation Support Using Knowledge Graphs and Association Rules..- Synthetic Data Generation for Book Recommendation Using Knowledge Graph Embedding..- Proposal on Dashboard Creation for Understanding Users from Rating Matrix..- Estimation of Confidence Level Based on Eye Movement and Temporal Self-Evaluations Using CNN with Data Augmentation..- Persuasion Process from the Perspective of Decision-Making Model in Werewolf Games.

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Book Synopsis.- JSAI Special Session 2..- A Study on the Application of Speech Processing for Evaluating Engagement in Game Streaming..- High-context intention within one-word speech: an extreme challenge for paralanguage recognition..- Spectator Support Systems for Mahjong Novices by Displaying Candidate Tiles for Winning..- Effects of online news comments on Attitude Formation of Readers..- Japan Special Session 3..- QCI Robot with Generative AI Knowledge Graph for Taiwanese/Japanese Co-Learning Model Application..- Optimal Assignment of Immediate Tasks in Multi-Agent Pickup and Delivery..- Enhancement of the Speech Ability of an Intelligent Dialogue Agent by Distributed Text Representation and Sentiment Analysis..- ComicFaves: organizing shelves for favorite comics based on user's affection..- Procedurally Generating Natural-Looking Villages in Minecraft with Ant Colony Optimization Algorithms..- Proposal of Modeling Personal Values Using Large Language Models for Extracting Mentions of Item Attributes and Evaluation Polarity from Review Texts..- An Eye Pupil Detection-Based Review Support System for Online Video-based Learning..- A Study of LLM Generated Pseudo-Data for Improving Small-Scale Models in Human Values Estimation..- Exploring Optimal Color Filter Array Patterns for Demosaicing with SwinIR..- Proposal for a New Evaluation Index for Human Fallibility in Shogi..- Systematic Selection of N-Tuples for Game 2048 using Neural-Network Function Approximator..- A User Interactive Shift Scheduling and Timetabling System Based on Evolutionary Computation for Private Tutoring Schools..- International Track Special Session..- Fish robot locomotion control using central pattern generator based on Kuramoto oscillator model..- A Crow Search Algorithm for Solving Virus Disease Transmission..- Physics-Informed Neural Network for Shock Absorber Design..- Exploring Compromised Accounts in Social Media by Change Point Detection..- A comparison of deep learning methods for multi-class classification of bloodstain patterns..- Genetic Algorithms for Variational Quantum Eigensolvers with Non-Orthogonal Quantum State Encoding..- AI-based Microsection Measurement Framework Using ComfyUI Workflow for Flexible Printed Circuit Board..- Detecting Unknown Attacks: Transformer-based Image Classifiers with an Out-of-Distribution Detector.

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Book Synopsis.- Uncertainty Management and Decision Making..- Rough Sets Consisting of Valued Objects in Data Tables with Missing Values..- Modifying Submodels in Estimation Methods Using Minimum Possible Ranges for Interval Priority Weights under a Crisp Pairwise Comparison Matrix..- Effective Pair’s Collaboration by Improving Efficiency Intervals..- All-Time WTA Leaders Ranking Using Incomplete Interval-Valued Fuzzy Preference Relations..- Distance Between m-Functions in Dempster-Shafer Theory..- Novel Distances for Fermatean Fuzzy Sets in Multi-Attribute Decision-Making Using Covering-Based Rough Sets..- What Is Optimal Granularity When Estimating Reliability of a Complex Engineering Systems..- How Shapley Value and Its Generalizations Can Help in the Analysis of Complex Engineering Systems and What Next..- Optimization and Statistical Methods..- A Fuzzy Goal Programming Approach for Production Planning in Packaging Industry..- Parameter Adjustment for Unbounded Best Case of Interval Linear Program..- Twin-Based Reinforcement Learning for Solving Multi-Period Portfolio Optimization Problem..- Application of Modified Rule Table Method to Classification Problems and Comparisons with Neural Network Method..- Confidence Intervals for Percentile of Inverse Gaussian Distribution with Application to Pm2.5 in Bangkok, Thailand..- Estimation Methods for the Percentile of Weibull Distribution and Its Application to Wind Speed Data in Southern Thailand..- Dependence Analysis of Indian Energy Sector Using Regular Vine Copula and Information Transfer Entropy..- Weight Matrix Variation and Performance Improvement of Regression Analysis..- Applications..- Earnings Management, Investment Efficiency, and High Information Uncertainty: Evidence from Vietnam..- An Integration of OEE and OLE Based on Total Productive Maintenance to Reduce System Losses in Semi-Automated Production..- The Differential Impacts of Climate Change and Renewable Energy on Income Inequality: A Panel Lasso Analysis of High-Income and Middle-Income Countries..- Assessing the Financial Impact of Natural Disasters on Global Stock Markets: Evidence from the Five Large Economies..- Optimizing Public Health: A Nationwide Vaccine Distribution Management System..- Developing a Customer Churn Prediction Framework Using LFMCP Value Segmentation: Insights from the Thai Insurance Sector..- The Relationship among Foreign Aid, Poverty Reduction and Economic Growth in CLMV..- A Method for Classifying Fabricated Responses due to Psychological Biases Using Brain Activity Networks Based on Granger Causality in EEG Responses to the NEO-FFI..- Clustering Corporate Risk Descriptions through Exploring their Correlations with Management Indicators..- Data-Driven Validation of Self-Assessment and Peer Reviews in Team-Based Application Development Projects..- Comparative Effectiveness of Carbon Pricing and Green Finance in Promoting Carbon Mitigation in the Eurozone..- Impacting Factors on Social Entrepreneurship Education in Universities:Evidence from Vietnam.

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Book Synopsis.- Invited Talks..- On Conditional Event Algebra for Probability Reasoning in System Design..- Information Fusion as a Useful Tool to Estimate Parameters fromImprecise Data?..- Machine Learning..- Robust Classification in Bayesian Neural Networks..- Nonparametric Estimation using Kolmogorov-Arnold Network ..- A Local PCA Model Induced from Linear Fuzzy Clustering With Cluster Separation..- A Revised Method on Judging Abstract Shape of a Curve on a Two-Dimensional Plane..- SMC-PATE: A Secure Enhanced Private Aggregation of Teacher Ensembles with Secure Multiparty Computation..- Self-Explaining Neural Network for Multi-Criteria Sentiment Analysis..- A Multimodal Deep Ensemble Framework for Skin Lesion Classification..- Pattern Recognition and Data Analysis..- Fourier-Enhanced Student-Teacher Distillation for Semi-Supervised Medical Image Segmentation..- Real-Time Monitoring and Anomaly Detection in Server Lab Environments Using ESP32 DevKit and VAE-Bi-LSTM Hybrid Model..- Onboarding Process from Power-Up to Motion Detection Using ESP32-EYE: A Quick and Comprehensive Approach..- Enhancing Iris Verification through Multiple Distance Measurement Fusion and Enrollment Screening Mechanism..- Enhance Biometric Authentication: Integrating Iris and Periocular Verification through Support Vector Classification..- Lite-SCMamba: A Lightweight Model Applying Spatial and Channel Attention with Mamba Framework for Medical Image Segmentation..- Classification of Breast Cancer for Mammography Using High Resolution Network..- Improving Brain Disease Classification Accuracy using Ensemble Learning..- Lung Cancer Detection Using Deep Neural Networks And Radiological Imaging..- Integration Vision-Language Models for Feature Extraction in Multi-Camera Multi-Object Tracking..- Applications..- Enhance Air Quality Index Prediction with Inception Time - BiLSTM Model and Huber Loss..- Enhancing Pose Adaptability in Virtual Try-On Systems..- MiniMedMind: Small-Scale LLM for High-Performance Medical VQA on Chest X-ray..- Enhanced Human Action Recognition from Synthetic UAVs Data Using Landmark Extraction and Mamba-based Model..- Anti-spoofing Using ResNet50 with Linear Discriminant Analysis for Automatic Speaker Verification..- Vietnamese Receipt Information Extraction Using OCR and Deep Learning: A Hybrid Approach with Fuzzy CMeans and PhoBERTv2..- Enhancing Vietnamese Mental Health Question-Answering Systems: Adaptive Retrieval Augmented Generation Pipeline and Data Augmentation for Large Language Models..- Real-time Wildfire-prone Area Monitoring and Early Warning System Based on Two-stage YOLO-based Smoke Detection Model..- Water Surface Level Estimation Based on the Fast Segment Anything Model for Coastal Monitoring Systems.

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Book SynopsisFoundations of Representation Theory in Transformers.-  Word Embeddings and Positional Encoding.- Attention Mechanisms.- Transformer Architecture: Encoder and Decoder.- Transformers in Natural Language Processing.- Transformers in Computer Vision.- Time Series Forecasting with Transformers.- Signal Analysis and Transformers.- Advanced Topics and Future Directions.- Convergence of Transformer Models: A Dynamical Systems Perspective.

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Book Synopsis.- Gaussian and Non Gaussian Noise Effects on Data Driven Modeling: A Comparative Investigation..- Fuzzy Based Head Attitude Estimation for Improved Students’ Concentration Evaluation..- Quantitative Calculation Method for Growth Status of Chinese Cabbage based on YOLOv5 Network with Multivariate Linear Fitting..- Lightweight underwater target detection algorithm based on improved yolov8..- Research on Temperature Error Calibration Method of Fluxgate Sensor..- IMDRSN BiLSTM for Rolling Bearing Fault Diagnosis..- Dynamic Optimization of CHP Unit Variable Load Process Based on Hybrid of Gauss Pseudospectral Method and Direct Shooting Method..- A Multi stage Noise Suppression Network for Segmenting Polyp Images Containing Noise Interference..- Research of Sequential Recommendation Algorithm Based on Contrastive Learning and Causal Learning..- Psychological Crisis Detection in Crisis Hotline Chats Based on Weighted Bidirectional Long Short Term Neural Network..- Load Prediction Model of Gas Boiler Generator Set Based on CNN LSTM..- Multi objective Task Allocation Algorithm for Medical Scenarios Based on MOIACO..- Feasibility Analysis of Optimization Models for Natural Gas Distribution Networks Using Machine Learning..- Identification of Luggage Stacked Disorderly Based on Image Analysis..- An Embedded System of the Measurement Instrument Applied in Aluminum Electrolytic Cells...- Proposal on Virtual User Profile Generation for Explainable Recommendation..- Agent based Modeling and Cultural Integration after Mergers and Acquisitions in State Owned Enterprise..- Finite Element Simulation of TFY YH Anti-slip Device..- A Numerical Study of Solar Pumped Lasers with Multiple Compound Parabolic Concentrator with Length Extension..- Graph Attention Convolutional Neural Network combined with Transformer Classification Method for Small Sample Datasets..- State of Health Estimation of Lithium ion Batteries Based on LLM BiLSTM Model..- Research on Heterogeneous Multi Agent Coalition Formation Method Based on Auction Algorithm..- Environment Integrated Adaptive Cognitive Training System Based on AugmentedReality and Intelligence..- Heterogeneous Map Fusion Method of Generalized Voronoi Diagram (GVD) and OctoMap Based on Point Cloud..- Multi objective evolutionary algorithm based graph neural network architecture search..- Performance Evaluation of a Combined Convolutional AutoEncoder and Image Recognition Model for Large Scale Images..- A pose estimation method for fisheye cameras based on the EPnP algorithm..- ISAE GZSL: Interpolated Incomplete Semantic Attribute Enhancement for Generalized Zero Shot Learning..- Posture Detection for Enhancing Elderly Daily Exercise via Reclining Chair..- Novel least mean square based adaptive estimator for unknown periodic disturbances.

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Book Synopsis.- Analysis of Machine Learning Models for Stroke Prediction with Emphasis on Hyperparameter Tuning Techniques..- Feasibility study of classification for music preference level based on galvanic skin response (GSR) and photoplethysmogram (PPG) sensor data with machine learning method..- Development of a Measurement System based on Level of Interest for Providing Human-friendly Services..- LCFP-RRT : A Robot Exploration Algorithm Based on Local Constrained Sampling and Frontier Prioritization Classification..- Research on the Optimization of Pathological Section Slide-stainer Machine Layout Model..- Evaluation of Session Segmentation Methods Using Behavior and Text Embeddings..- Multi-Agent Reinforcement Learning for Sparse Reward Tasks using Incremental Goal Enhanced Method..- Research on Sensor Fault Diagnosis Method Based on KPCA-AE Algorithm..- Microwave Imaging Fusion for Brain Tumours Detection..- Development an Active-Caster with Differential Mechanism Utilizing a Twisted-Timing-Belt..- Reconstruction of Missing Data Completely at Random for Trains Based on Improved GAN..- Speaker Age Recognition based on Convolution and Transformer Fusion Framework..- TS-VAT: Efficient Deployment of Teacher-Student Framework in Visual Active Tracking..- A Preliminary Study of Indicator-based Genetic Programming for Multi-objective Dynamic Flexible Scheduling..- Cooperative Agentic Framework for Enhanced Function Calling..- Explainability of CNN Classification Models Using CycleGAN and Their Application to Medical Imaging..- Designing Message Exchange Limits in Distributed Ship Collision Avoidance Systems..- Mixture of Experts based Scenario Prediction for Motion Forecasting..- Vulnerability Verification in Robot Control Using Decision Transformer..- Robustness Verification of Decision Transformer with Varying Noise-Augmented Data Ratios in Atari Games..- Solving the Stochastic Resource Allocation Problem through an Adaptive Variable Neighborhood Search Algorithm..- Research on rice grain detection method based on MATLAB image processing..- Two Time Scale Partial Unknown Dynamics System Tracking Control Based On Off-policy Inverse Reinforcement Learning..- MFTCP: Multiple Factors based Test Case Prioritization..- Efficient and Accurate Point Cloud Registration with Sparsepoint Transformer for Landslide Detection.

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Book SynopsisChapter 1: Introduction to Deep Learning based Image Augmentation.- Chapter 2: Generative Adversarial Networks (GANs).- Chapter 3: Autoencoders.- Chapter 4: Applications of Deep Learning Based Image Augmentation.- Chapter 5: Evaluating and Optimizing Deep Learning Image Augmentation Strategies.- Chapter 6: The Future of Deep Learning Image Augmentation.

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Book SynopsisChapter 1. Business Model Analysis for AI Platform Firms.- Chapter 2. Implementation of Cutting-Edge keyword Extraction Techniques.- Chapter 3. A Comprehensive Literature Review and Implementation of Kalman Filter for Concept Drift Detection in Autonomous Vehicles.- Chapter 4. ACBAM: Adaptive Convolutional Block Attention Module for Object Detection.-  Chapter 5. A Mobile Marker-Less Augmented Reality System for Dental Simulation and Training.- Chapter 6. Enhancing Image Reconstruction Fidelity in Low-Dose CT Scans: A Comprehensive MPS-U-Net Framework.- Chapter 7. Developments of AI Models from 1995 to 2024.- Chapter 8. Prototype of Point cloud-Captioning Model for Jomon Pottery.- chapter 9. Image Conversion of Oyu Stone Circles using CycleGAN.- Chapter 10. MaskedCycleGAN for Image Transformation of Oyu Stone Circles: A Comparison between U-Net and ResNet.- etc...

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Book SynopsisPart I. Background.- Chapter 1. Embodied Intelligence.- Chapter 2. Embodied Multi-agent System.- Part II. Theory and Methods.- Chapter 3. Perception-Action Loop in Embodied Multi-agent System.- Chapter 4. Embodied Cooperation in Multi-agent System.- Chapter 5. Competitive Learning in Embodied Multi-agent System.- Chapter 6. Large Language Model for Embodied Multi-agent System.- Part III. Applications.- Chapter 7. Simulation Platform for Embodied Collaboration between Human and Robots.- Chapter 8. Application of Embodied Multi-agent System.- Part IV. Conlusions.- Chapter 9. Conclusions and Future Directions.

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Book Synopsis.- Data Analysis and Signal Processing..- Periodic Spatio-Temporal Colored Hotspot Detection in Azure Traffic Data..- Clustering Analysis and Time Series Approaches for Effective Resource Allocation and Route Planning in Managing Confirmed Cases..- Boosting K-means for Big Data by Fusing Data Streaming with Global Optimization..- Concept Drift Scoring and Visualization..- Building a Data Trust: Fine(r)-Grained Attribute-Based Policy Machine..- Detection of Epileptic Seizures in EEG Multi-Channel Signals..- Testing the effectiveness of classifying physical exercise types using a combination of features calculated from generalised shapes..- A Comparative Analysis of Tabular Generative Models on Gene-Expression Data..- Satellite Data Based One-Class Classifier Models with Augmentation for Efficient Mineral Exploration..- Deep Learning for Rhythm Recognition in Piano Compositions..- Integrating Behavioral Code Metrics and Sentiment Code Review Analysis for Efficient .Defects Discovery.- Personalization of Affective State Recognition from Physiological Signals: A Review..- Development and Application of Large Language Models..- Knowledge Graph-based Legal Query System with LLM and Retrieval Augmented Generation..- Simulating Human Communication Games: Transactional Analysis in LLM Agent Interactions..- LawMate: Leveraging Domain-Specific LLMs for the Indian Legal Ecosystem..- Options Pricing Platform with Neural Networks, LLMs and Reinforcement Learning..- Dumbing Down or Transforming The World: Architecting GenAI Solutions for Adaptive Lifelong Sustained Learning..- Speech and Natural Language Processing..- Kazakh Abstractive Summarization: Dataset, Model Evaluation, and Applications in Automated SEO Metadata Generation..- Developing Advanced Question-Answering Models for Legal Kazakh Texts: A Comparative Study of Modern Approaches..- Collecting, Processing and Evaluating the Performance of Kazakh Automatic Speech Recognition..- Study of Kyrgyz-Kazakh Neural Machine Translation..- RE-VC: Robust zero-shot voice conversion model for realistic environments..- Enriching information for speech emotion feature using polynomial chirplet transform and density-based clustering algorithm..- On the Responsible Use of Automation in Systematic Reviews..- Disease Diagnosis through Patient-Reported Symptoms Narratives using Multinomial Naive Bayes..- E2v-PhoBERT: A Fine-tuned PhoBERT Model with Enhanced Accuracy for High-Performance Vietnamese Sentiment Analysis.

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Book Synopsis.- Artificial Intelligence in Multimedia Technologies..- Drawing Strategies Analysis for the Embedded Figure Tests..- VietHarmony: Borda-Based Ensemble with Ontology-Driven Insights..- Music Assistant - A Method for Music Recommendation using Sensor Data from Wear OS system..- Study of players’ user experience during gameplay using different types of soundtracks. .- Image and Video Processing..- Vital-Net: Vision Integrated Transformer and Attention Network for Lung Nodule Segmentation on Full-Scale Images..- Direct detection of elongated objects geometry via a centerline-based representation..- Improved Skin Classification Performance based on Hybrid Models..- PIU-FR: Personal Identity Unlearning for Facial Recognition..- Enhancing Action Recognition Using 3D Skeleton Re-construction: Integrating MotioNet with AcTv2..- Elucidation facet in evolutionary art evaluation..- An Approach for the Identification of Pollen Grains Extracted from Digital Microscopic Images by means of the Centroid - Point Distance Histogram..- Detection of anatomical structures relevant for explaining predictions of classification models for child sexual abuse materials..- Investigating Grad-CAM Interpretability Through Expert Assessment..- Mononucleosis oral disease detection with the help of GANNs..- Image Quality Assessment for Facial Image Authenticity Verication (FIAV) ..- A lightweight transformer model for real-time object detection on edge devices in surveillance camera systems..- Automated Label Quality Control in Industry 4.0..- Vision-Based Malware Detection: Integrating CNN and MobileNetV2 for Dynamic Cybersecurity Challenges..- Toward exploiting perceptual image similarity for multi-frame super-resolution..- A Combined Model Based on Deep Learning for Littering Detection..- A Hybrid Neural Network for Single Image Super Resolution..- Explainable AI for Date Leaves Disease Detection Using Vision Transformers ..- Human action recognition using a feed-forward neural network and hand-crafted shape features..- Lightweight 3D Hand Pose Estimation using Knowledge Distillation with Hand Kinematics..- ClearOcean: Enhancing Underwater Images via Pyramid Difussion Models..- Enhancing PM2.5 Forecasting Using Video-Based Spatiotemporal Models and Cyclical Encoding..- A new CNN architecture for Alzheimer’s disease diagnosis and multi-class classification..- BirdyAI - Bird Identification and Classification model with DenseNet and StableDiffusion on Limited Hybrid, Natural and Synthetic Datasets.

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Book Synopsis.- Machine Learning and Artificial Intelligence Applications..- Enhance Exploration in Safe Reinforcement Learning with Contrastive Representation Learning..- Earthquake Response Analysis with AI..- Streaming Counterfactual Subset Selection with Bias Awareness..- An Advanced Neural Network Architecture Combining CNN, Bi-LSTM and CamemBERT for Sentiment Analysis in French..- On Comparing LLM-Generated Causal Networks with a Rule-Based Approach..- Unveiling Parkinson’s Disease Severity Using EEG-Driven Deep CNN Model..- Counteracting temporal attacks in Video Copy Detection..- Cross-Domain Transfer Learning for Semantic Segmentation of Seismic Facies..- Maximization of Communication Network Throughput using Dynamic Traffic Allocation Scheme..- Hierarchical Attention For Violence Detection..- Real-Time Facial Attribute Classifier using Streamlined Feature Re-calibration Module..- Real-Time Online Training Framework with Lesson-Based Curriculum for Minecraft Battle Bots..- A new application of reinforcement learning algorithm..- Ubervvald: Advanced Object Detection Library for Optimizing Complex Convolutional Neural Networks (CNNs) ..- Optimizing Recovery Debt Collection Process by using Machine Learning and Operation Research ..- Statistical Machine Learning Techniques for Wave Spectre Estimation in Coastal Seas..- Advancing Manufacturing Intelligence: Decisional DNA-based Methodology for Semi-Automatic Manufacturing Environment..- Comparative Analysis of Convolutional Neural Network Architectures for Emotion Recognition in Facial Images..- Speaker Change Detection with Pre-tranied Large Audio Model..- Multimodal Machine Learning Analysis of fNIRS Signals using LSTM and KNN Models for .- Cognitive States and Brain Activation Patterns Prediction..- Intelligent Information Systems and Advanced Problem-Solving Algorithms..- INVEST quality criteria in Agile Software Development - Do they come by nature or is it nurture?..- Limiting Energy Costs with the Two-step Heating Control of Natural Gas Boilers..- A novel parameter-free clustering algorithm for linear sum assignment problems..- Exploration in Case-Based Reasoning for Improved Problem-Solving..- Hybrid Quantum-Classical Algorithms for Explainable and Scalable Predictive Models in Binary Disease Classification..- Advanced Optimization Techniques for a Delivery Scheduling Problem by Using Genetic and Evolutionary Algorithms.

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Book SynopsisChapter 1 :A Comprehensive Study Exploring Probabilistic Fully Degenerate Bell Polynomials Linked to Random Variables.-Chapter 2 :Artificial Neural Network based Prediction of the Atmospheric attenuation and Scattering Coefficient at 1550 nm for Optical Wireless System in Foggy Atmosphere.-Chapter 3 :Early Detection of Alzheimer’s Using Customised Lightweight 3D CNN Architecture.-Chapter 4 :Optimizing Fraud Detection by Integrating Ensemble Methods and Neural Networks.-Chapter 5 :Bus Arrival Time Prediction with LSTM Networks and CTGAN-Augmented Data.-Chapter 6 :A Hybrid Improved Particle swarm optimization and Genetic algorithm for energy efficient task offloading in Industrial IoT.-Chapter 7 :Sign Spotting for Indian Sign Language.-Chapter 8 :A Crowdsourced Localization and Deep Learning-based Visual Fingerprint Update Algorithm of Smart Internet of Vehicles (IoV).-Chapter 9 :Dropout and its role in Neural Networking.-Chapter 10 :An adaptive Statistical Sugeno-Takagi Fuzzy Logic System For Damage.-Chapter 11 :Identification In Structural Elements.-Chapter 12 :E-Commerce Fake Review Detection using Natural Language Processing.-Chapter 13 :A Novel Deep Learning Framework with Global Attention Mechanism for Enhanced Heart Disease Detection and Prediction.-Chapter 14 :Multivariate Data Analysis to Classify Blood Donors Utilizing Supervised Learning Models.-Chapter 15 :Type 2 Diabetes Detection Using a Bio-Inspired Machine Learning Approach.-Chapter 16:Deep Learning Neural Network-Based Evaluation of Neuroimages for Alzheimer's Disease Diagnosis.-Chapter 17 :Machine Learning-Based Analysis and Detection of Autism Spectrum Disorder.-Chapter 18 :Smart Traffic Control System Leveraging YOLOv8 and OCR for Improved Urban Mobility3902619266.

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Book Synopsis.- Games and Decision Theories..- Deterministic and Nondeterministic Decision Trees for Recognition ofAll Realizable Decision Rules..- Billiards-based Generation of Multi-task, Dense Subitizing DetectionDiagrams..- GAMER-Pong: Game Adjustment by Monitoring Emotional Response..- Image Processing and Computer Vision..- Machine Learning Algorithms for Hand sEMG-recorded Movements..- Boosting Face Super-Resolution and Identification with KnowledgeDistillation and Frequency Domain Loss.Improving Efficiency Image Captioning by using Attention Mechanismcombined with Knowledge Graph..- An approach of fuzzy-enhanced multi-viewed image em-bedding fusionfor spinal disease detection..- Boosting Lightweight Multi-Branch Network by Integrating Segment,Skeleton, and Attribute Information..- Continuous Recognition of Mouth Patterns in Japanese Sign Languagefor Visual Communication..- Towards an UAV Visual Navigation System Based on Map Processingand Spatial Matching Techniques: a Literature Review..- Image enhancement with Boosted Schr¨odinger Bridge..- Intelligent Techniques in Optimization..- Kernel-Level Energy-Efficient Neural Architecture Search for TabularDataset..- Estimation of Distribution Algorithms with Overlapped Populations..- Energy-Efficient Edge Query Processing for Smart City using QueryPrediction..- Influence Maximization with Fairness Cost on Groups in Online SocialNetworks..- TMMP: Efficient Continual Learning via Mixture of LoRA Expertsand Top Maximum Magnitude Parameter Fusion..- ADMEdge: Accelerating Edge Computing through Co-Design forEnhanced Data Mobility..- Machine Learning Techniques and Applications..- The recursive scheme of clustering..- TOPSIS-inspired Socio-cognitive Mutation Operator for Metaheuristics..- Feature-Based Drift Detection in Non-Stationary Data Streams UsingMultiple Classifiers: A Comprehensive Analysis..- A Feature Transformation Technique for Improving Ensemble LearningSystems..- Explainable Artificial Intelligence to Improve Interpretability inPredictive Mutation Testing..- An Analysis of Class Imbalance Challenges in Predictive Mutation Testing..- Efficient Vietnamese Name Detection using Highly DiscriminativeN-Grams..- Evaluation of the effectiveness of ranking methods in detecting featuredrift in artificial and real data..- Using Artificial Neural Networks for Automated Lithologic Mappingand Mineral Exploration in Mayantoc, Tarlac, and San Juan, Batangas..- Enhancing Accuracy and Stability in XAI for Context-specific Applications..- Integration of Dynamic Window Sizing with Neural NetworkArchitectures for Real-Time Cryptocurrency Predictions..- Domain-oriented GCN method for Sentiment Analysis.

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Book SynopsisRisk Management for Distributed Arbitrage Systems Integrating Artificial Intelligence.- Analysis of Influencing Factors of Regional Economic Stability Development Combined with Data Mining Technology.- Using Big Data to Optimize Financial Resource Allocation Strategies in Economic Growth.- Analysis of the Effects of China's Economic Policies on the Fluctuations of the Economic Cycle.- Analysis of the Influence of Uncertainty on the Operation and Management of Chinese Commercial.- Research on the Selection of Credit Risk Assessment Indicators for Small Loan Companies Based on Analytic Hierarchy Process.- Dynamic Analysis of the Impact of Digital Currency on the Velocity of Money Circulate.- A Study on the Impact of Big Data-Driven Price Discrimination on Customer Citizenship Behavior Evidence from Ctrip Users.- A Machine Learning-based Model for Credit Risk Prediction in Banking Customers.- New Quality Productivity Enables Digital Financial Development Empirical Evidence.

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Book SynopsisCognitive Computing And Information Processing.- Iris Recognition Based on Asynchronous Genetic Particle Swarm Optimization.- Joint Torque Sensor-Based Distributed Coordinated Control of Dual-Arm Reconfigurable Manipulators.- MAMF-ResNet: Multi-Attention Mechanisms Fusion Network for Brain Tumor Classification.- Noise Sensitive Relation Aware Cross-Lingual Entity Alignment.- Origin Classification of Rice Wine Based on an Electronic Nose and Convolutional Neural Network.- Parking Lot Obstacle Detection System Using Infrastructure-Based Cameras.- Self-Tuning Control of Manipulator Based on Fuzzy Linear Active Disturbance Rejection Control and Particle Swarm Optimization Algorithm.- The Neural Network of College Students Research on the Intelligent Scoring System.- Uniform Light Field Control System Based on IoT Technology - Solving Eye Discomfort Caused by Changes in Light Intensity.- Intelligent Cooperative Control.- Attention-Fused Vision Mamba Model for Remote Sensing Image Detection and Segmentation.- Control Allocation Based Fault-Tolerant Attitude Control of Hypersonic Reentry Vehicle.- Cooperative Multi-Target Enclosing Control of Multi-Robots Based on Virtual Target Points*.- Event-Triggered Secure Consensus Control of Nonlinear Multiagent Systems with Hybrid DoS Attacks.- FastLSLO: An Efficient LiDAR Odometry Based on Improved Lie Group B-Splines.- Improved BP Neural Network Based Deck Motion Prediction and Landing Control for Carrier-Based Aircrafts.- Joint Sequencing and Merging Optimization for Airplanes and Helicopters.- Research on UAV SINS/GNSS Integrated Navigation Error Model for Transpolar Flight.- Technical Research on Helicopter Blind Landing Under Degraded Visual Environments (DVE).- Learning and Systems.- A Contactless Demonstration Learning Method for Robotic Systems Based on Dynamic Parametric Regression Modeling.- A Multi-Scale Fusion and Dynamic Upsampling Model for Road Surface Snow Detection.- A Scoring System for Single and Parallel Bars Actions Based on Multi-View 3D Pose Estimation.- Adaptive PID Controller for Industrial Process Based on Reinforcement Learning.- Computational Analysis of Synaptic Plasticity in Echo State Network.- LEHR: LLM-Driven Evolutionary Hybrid Rewards for Multi-Agent Reinforcement Learning.- Magnetic Core Loss Prediction: A Data-Driven NGO-GRU Model.- Research on Method of Control Surface Jamming Fault Injection in Fly Test of Fly-By-Wire Aircraft Based on Multiple Control.- Tactile-Based Manipulation for Wire Following.

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Book SynopsisCognitive Computing And Information Processing.- A Colour Secret Image Sharing Scheme Based on the Theory of Prime Number Distribution.- A Novel Design of Radial Basis Function Neural Network Integrating Markov Chain Monte Carlo Clustering Algorithm.- A Synthesis of Techniques for Feature Downgrading Processing in IoT Security.- Anomaly Data Identification and Reconstruction in Wind Power Forecasting Based on MLOF-iForest and RF.- Broad Learning System-Enhanced Fuzzy Inference Framework for High-Efficiency Classification.- Design of Radial Basis Function Neural Network with Neural Gas Network Clustering for Classification of Logistics Black Plastics.- Enhanced Group Method of Data Handling with Roulette Neuron Selection for Time Series Forecasting.- FE-ResNet50: Frequency Enhanced Attention Network for sEMG Gesture Recognition.- Huber Correntropy Kalman Filter.- Intelligent Cooperative Control.- A Framework for Visual Target Navigation for Quadcopter Based on Large Language Models in Unknown Environment.- Adaptive Output Feedback Control for Nonlinear Time-Delay Systems with Neural Network and Static Gains.- Automatic Ground Collision Avoidance for Aircraft in Uncertain Environments.- .- Investigations Into the Existing State of Distribution Network Security Using Dispersed Generators.- Parking lot Obstacle Detection System using Infrastructure-based Cameras.- Predefined-Time Consensus for First-Order Heterogeneous Nonlinear Multi-Agent Systems.- Research on Automatic Throttle Speed Stability System Based on Magic Carpet Landing Technology.- The Decentralized Trusted Identity Management in the Collaboration of Supply Chain and Logistics Operations.- Unify the Research and Design of Power Quality Regulators.- Learning and Systems.- A Zero Trust Continuous Authentication Scheme Based on Keystroke Dynamics.- Cognitive-Based Autonomous Orbit of Non-Cooperative Targets.- Finite-Time Stabilizing Control of Furuta Pendulum System Based on Disturbance Observer and Integral Sliding Mode Method.- Method of Heading Estimation Based on Underwater Acoustic Sensors.- Optimal Cooperative Control for Constrained Multi-Agent Systems Using Adaptive Dynamic Programming Method.- Pareto-Wise Ranking Generator for Multi-Objective Coevolutionary Generative Adversarial Networks.- Research Progress on Control Technology of Tiltrotor Aircraft.- Robust and Non-Fragile Control for Non-Uniform Sampled-Data Systems Under Try-Once-Discard Protocol.- Tracking Control of -DOF Continuum Manipulator Using Fuzzy PID Method.

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Book SynopsisAn Investigative study of Machine Learning Methods for Lung Cancer Detection: Trends, Challenges, and Future Directions.- A Learning Model on Customer Churn Forecasting for Telecom Providers.- Image Captioning using ViT and BERT Models.- Optimizing the Implementation of Business Analytics and Intelligence by Fostering a Culture Centered on Sustainable Organization.- Knowledge Based Recommendation System to Enhance the Cognitive Intelligence of Undergraduate Students.

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Book Synopsis.- Interpretable Biomedical Named Entity Recognition via BLSTM with Talmudic Public Announcement Logic..- Each of those eight coalition logics is also determined by four other kinds of models..- Incomplete Higher-Order Abstract Argumentation Frameworks..- Modal Equivalence, n-Bisimulation and Model Comparison Game for Basic Neighbourhood Logic..- Preference-based extension enforcement in argumentation..- Argumentation Framework with Attitude Classification: A New Approach to Handle Controversial Arguments, Defeat Cycles and Self-defeating Arguments..- Ontology of Autonomous Driving as a tool for argumentation on responsibility..- A Proposal for the Reconstruction and Evaluation of Multimodal Argumentation in Print Advertisements..- Validity of attacks related to argument set in higher-order argumentation frameworks..- Deontic Sufficiency in Dyadic Deontic Logic..- Reasoning in Coalition Planning..- The Surprise Exam in Full Modal Fixed-Point Logic..- Which One Takes Priority?—Reflections on the Concept of Argument..- Argument-Based Belief and the Evidence Topology..- On Pluralistic Methods for Explaining Argument Acceptance in Abstract Argumentation..- Proportional Acceptability of Arguments..- Towards Assumption-based Argumentation Mining in Hotel Reviews..- A dialogical interpretation of cut-elimination and its application to argumentation theory..- On SCC-recursiveness in Quantitative Argumentation..- Six Faces of Or-to-If..- Relevance for Stability of Verification Status of a Set of Arguments in Incomplete Argumentation Frameworks..- The A-BDI Metamodel for Human-Level AI: Argumentation as Balancing, Dialogue and Inference.

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Book Synopsis

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Book SynopsisArtificial Intelligence Large Models for Scientific Research Developments Challenges and Paths.- The Transformation of Network Architecture in the Era of Artificial Intelligence.

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Book Synopsis.- Survey Track..- Large Language Models for Cybersecurity Education: A Survey of Current Practices and Future Directions..- A Comprehensive Survey on Deep Learning Solutions for 3D Flood Mapping..- A Survey of Foundation Models for Environmental Science..- A Survey on Efficient Graph Reachability Queries..- Machine Learning..- Disentangled Representation Learning for Geospatial-temporal Data Modeling..- Treatment Effect Estimation for Graph-Structured Targets..- Dynamic DropConnect: Enhancing Neural Network Robustness through Adaptive Edge Dropping Strategies..- The Brownian Integral Kernel: A New Kernel for Modeling Integrated Brownian Motions..- Fed-ARIMA-OPARBFN: An Ensemble Model for Cross-Domain Crop Yield Time Series Prediction Based on Federated Learning..- S-CPD: Topological Smoothing-Based Change Point Detection..- VDASI: VAE-Enhanced Degradation-Aware System Identification Using Constrained Latent Spaces..- Disentangled Mode-Specific Representations for Tensor Time Series via Contrastive Learning..- PFformer: A Position-Free Transformer Variant for Extreme-Adaptive Multivariate Time Series Forecasting..- Advancing Long-Term High-Frequency Dissolved Oxygen Forecasting for Australian Rivers..- CNO-former: Chaotic Neural Oscillatory Transformer for Social Media Text Generation..- Multilingual Non-Factoid Question Answering with Answer Paragraph Selection.- Turning Uncertainty to Information by Intervals in Ensemble Classifiers..- Determining the Need for Multi-Label Classifiers by Measuring Unexplained Covariance..- Evaluating Generative Vehicle Trajectory Models for Traffic Intersection Dynamics..- Trustworthiness..- Inversion Triplet - A Contrastive Backdoor Mitigation Method for Self-Supervised Vision Encoders..- Beyond Uniformity: Robust Backdoor Attacks on Deep Neural Networks with Trigger Selection..- Defence Against Multi-target Multi-trigger Backdoor Attack..- How to Backdoor Consistency Models?..- Multi-granularity Policy Explanation of Deep Reinforcement Learning Based on Saliency Map Clustering..- FACROC: A Fairness Measure for Fair Clustering Through ROC Curves..- Learning on Complex Data..- Action Sequence Analysis Using Temporal Commonsense Knowledge..- Foundation Model for Lossy Compression of Spatiotemporal Scientific Data..- CANTER: A Novel Causal Model for Tourism Demand Forecasting..- Time-Aware Complex Attention Space for Temporal Knowledge Graph Completion..- Adaptive Extraction of Variable-Length Subsequence Patterns in Noisy Time Series..- Hunting Inside N-Quantiles of Outliers (Hino)..- Fast Approximation Algorithm for Euclidean Minimum Spanning Tree Building in High Dimensions..- ShuttleSHAP: A Turn-Based Feature Attribution Approach for Analyzing Forecasting Models in Badminton..- Offline Map Matching Based on Localization Error Distribution Modeling.

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Book Synopsis.- Reinforcement Learning..- An Enhanced Preference-Based Reinforcement Learning Framework for Autonomous System..- Reinforcement Learning based Iterated Greedy for Parallel Machine Scheduling with Weighted Earliness Tardiness..- VMD-IMF Enhanced Hyper Graph Attention Module Based Reinforcement Learning For Portfolio Optimization..- A reinforcement learning based framework to the facility layout problem..- Optimization..- Bayesian Optimization for Fine-Tuning an AI Solver: Application to Preventive Maintenance Scheduling Problems..- Domain Generalization through Domain-Expert Risk Assessment..- Enhanced Optimization Space Learning: Towards Real-Time Compiler Optimization..- Optimizing Feature Selection Binary Peacock Algorithm with improved movement strategy..- Natural Language Processing..- Apply TF-IDF and LDA to Explore Topics and Related Trends in Electric Vehicle Reviews..- Identifying Fake Reviews and Their Implications Using BERT and LDA: A Case Study of Online Shopping Website Reviews..- A Lightweight and Efficient Punctuation and Word Casing Prediction Model for On Device Streaming ASR..- SYNCAD: Synchronised Yields from Narrative Cross Modal Audio and Data..- MultiGAU: Real Time Sign Language Generation using Multimodal Gated Attention..- Classification of Approval Desires and Analysis of Emotional and Linguistic Features in SNS Posts Using Generative AI..- Multi-Agent..- Hierarchical Multi-Agent Reinforcement Learning with Epistemic Priors for Scalable Communicationless Coordination of Teamable Agents..- DynaMIX: Sample-Efficient Multi Agent Reinforcement Learning with Multi-Step Temporal Forward Dynamics Modeling..- Automated Issue Hierarchy Generation for Improved Automated Negotiation Outcomes..- Machine Learning and Decision Making..- Distribution Variance for Surrogate Weights in Multi-Criteria Decision Analysis..- Bridging the Trust Gap: Leveraging Explainable AI for Personalized E-Commerce Recommendations..- A clustering method based on hesitant difference granularity..- Evaluation of Efficient AI for the Edge: Insights from Deep Neural Networks Model Compression Techniques Applied to Occupancy Detection..- LSTM-based Proactive Scheduling of Stream Applications in Edge/Cloud Environments..- Uncertainty Quantification Of Multimodal Models..- Knowledge Representation..- Automating OntoClean Ontology Verification..- Automating OntoClean - Subsumption Hierarchy Construction..- Possibilistic Reasoning with Fuzzy Formal Contexts: An Extended Abstract..- A Strategy for Implementing Garbage Detection in Ontology Completion using Description Logics..- Data Engineering..- Uncertainty-based Instance-Dependent Noisy Label Datasets Generation..- Guided by Uncertainty: Semi-supervised Domain Adaptation with Curriculum and Contrastive Learning..- Linking Data Meaningfully: Identifying Meaningful Keys and Foreign Keys from Data..- CAMI: A missing value imputation method based on causal discovery and self-attention..- MDR: An Ontology Vocabulary and Registry Service for Dataset Catalogs..- A-REACT: Adaptive Resampling and Active Classification for Thresholded Anomalies..- DistResampleR-Lite: Light Distributed Resampler for Imbalanced Regression Problems..- Fast HSIC-based tests for random processes..- Large Language Model..- Exploring the Efficacy of Large Language Models in Predicting Chemical Toxicity..- Towards Predicting Complex Carpooling Trajectories with Context-Augmented BERT LLM in Chaotic Environments..- LLM-base MaSE, A Software Development Framework for Developing Multi-Agent Systems..- Computer Vision..- WeldViT: A Lightweight Network for Online Identification of Multi-Label Welding Defects..- Impact of Replay Ratios on Performance and Efficiency in Continual Learning for Skeleton-based Action Recognition..- Extending YOLO for Feature-Based Classification Through Numerical-to-Image Transformation..- Lost in the Noise: Evading and Detecting Backdoors in Conditional Diffusion Models.. SkinPalNet: An Advanced Ensemble Model for Skin Cancer Diagnosis with Computer Vision Approach..- Enhancing Minimarket Customer Experience through YOLOv8-Powered Checkout Systems..- Brain Tumor MRI Interpretation: Towards a Benchmark for Medical Visual Question Answering.

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