Artificial intelligence (AI) Books

Book Synopsis.- Evolutionary Computation and Learning..- Multilevel memetic community detection algorithm based on Jaccard mutation and multi neighbor search: MMCD-JM..- Contribution Based Adaptive Multi-Population Artificial Bee Colony Algorithm for Feature Interaction Selection on High-Dimensional Data..- A Multi-Phase Hybrid Optimization Framework Integrating Active Subspace PSO and Periodic Pattern Search for 3D Path Planning..- Fusion of ECA-Net with Hamiltonian Deep Neural Networks and Dynamic Step Size Optimization..- An Unsupervised CLIP-Based Hashing Framework with Distribution Optimization..- Optimization of Marine Meteorological Prediction Accuracy via Multi Parameter Fusion..- An improved contribution based cooperative co-evolution with adaptive computational resource allocation..- Surrogate-Assisted Stochastic Programming with Collective Perception for VR Task Offloading..- Improved BPSO for TDMA Scheduling in Ad hoc..- Multi-Task Allocation and Path Planning for AUV in Seabed Harvesting Operations within Marine Ranching..- Signal Processing..- MedMEN: Multi-granularity Encoding Network for Medical Visual Question Answering..- SimAM-UNet: A High-Fidelity Music Denoising Model in Complex Environments..- CB-PSR: Adaptive Contextual Biasing for Prompt-driven Speech Recognition..- Epileptic Seizure Detection Using Deep Adversarial Metric Learning..- RCDS: High-Precision Displacement Measurement Based on RFID Mutual Coupling Signal Feature Analysis..- Swarm Intelligence and Optimization..- ALMBO: An Effective Multi-Fidelity Bayesian Optimization Method for Mixed-Variable Hyperparameter Optimization..- A Discrete Mayfly Optimization Algorithm for the Traveling Salesman Problem and Its Application in Automated Guided Vehicle Routing Optimization..- A Dynamically Enhanced Grey Wolf Optimizer for Real-Time Error Compensation in Logistics Sorting Encoders..- Advanced Multi-space Evolutionary Search for Solving Large-scale Optimization Problems..- An Adaptive Gradient-directed Differential Evolution Algorithm for Training Neural Networks..- GAPSO-ACO: Graph Attention-PSO Enhanced Ant Colony Optimization for Capacitated Vehicle Routing Problems..- Dynamic multi-objective optimization algorithm based on individual transfer and diversity maintenance..- A Hybrid Reinforcement Learning Method for Mixed Flow Chemical Production Scheduling Problem with Material Distribution..- Multi-Directional Yielding Snake Optimizer with Pull-Push Optimization for Engineering Design Problem..- A Q-learning Hyper-Heuristic for Energy-Efficient Integrated Distributed Hybrid Flow Shop Scheduling..- A Two-stage Q-learning-based Hyper-heuristic Evolutionary Algorithm for the Distributed Hybrid Flow Shop Scheduling Problem with Heterogeneous Factories..- LLM-PSO: A Semantically Enhanced UAV Path Planning Algorithm Based on DeepSeek..- An Approach to Develop Assurance Models toward Safety of the Intended Functionality..- FDBSCAN: A Dynamic Fairness Optimization Approach for Density-Based Clustering..- A Dual-Indicator Guided Multi-Objective and Many-Objective Particle Swarm Algorithm Applied to Neural Network Architecture Search..- An Improved CBBA Algorithm for Multi-UAV Multi-Task Allocation in Dynamic Scenarios..- Personalized Federated Learning with Adaptive Regularization..- A Cooperative Optimization Framework for Semi-Supervised Military Object Detection in Complex Environments..- Memristive Binary Firefly Algorithm with Cosine Similarity..- A Novel UAV Path Planning Approach: DE-SPSO ..- The Feature Selection Algorithm based on Cockroach Swarm Optimization Integrating Mutual Information and Granular Balls..- Virtual Reality and Human-Computer Interaction..- CSFA-PMCCNN: a Parallel Multiscale Convolutional Capsule Neural Network Based on Channel-Space-Frequency Attention Mechanism for Speech Imagery EEG Signals Classification..- CPR-KANsformer: An Adaptive Multi-dimensional CSI Feature Extraction Model for Human Activity Recognition..- Masked Appearance Restoration for High Resolution Talking Face Generation..- A Virtual Reality-based Platform for Cross-language Conferences..- MPC-augmented Reinforcement Learning for Motion Cueing Algorithms in Driving Simulators..- A Phoneme-Aware Multi-Task Learning Framework with Dynamic Prioritization for Speech Emotion Recognition..- Lightweight Multimodal Physiological Signal Fusion for Motion Sickness Detection and Prediction in VR.

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Book SynopsisLeveraging Meta-Learning for Dynamic Anomaly Detection in Zero Trust Clouds.- Prediction of Mental Health Issues and Challenges Using Hybrid Machine and Deep Learning Techniques.- Deep Learning Based Differential Distinguishers for NIST Standard Authenticated Encryption and Permutations.- ChiBa - A Chirrup and Bark detection Solving of Assignment Problem by Pythagorean Octagonal Neutrosophic Fuzzy Number system for Urban Environment.- FFT based image registration using Stationary Wavelet Transform and edge features.- Analysis of Blood Transfusion Dataset using Data Mining Techniques.- ResNet-CPDS: Colonoscopy Polyp Detection and Segmentation Using Modi?ed ResNet101V2.- Properties of m-bonacci words.- Robust Numerical technique for a class of singularly perturbed nonlinear system of n-dierential equations with Robin boundary conditions.- Key Dependent Dynamic Sbox for KASUMI Block Cipher.- Fuzzy MCDM techniques for analysing the risk factors of COVID-19 and FLU.- Concentric Ellipse Fitt

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Book SynopsisIoT based Portable Solar Suitcase for EV Battery Charging Application.- Development of Low Cost and Automation of Various Classroom Accessories.- Segmentation of plant leaf diseases using a ResNet based algorithm.- Rehabilitation System Using Virtual Gaming For Spinal Cord Injury (SCI) Patients To Activate Sensorimotor Areas.- Exploring the Synergy of Machine Learning Algorithms in Wireless Sensor Networks: A Comprehensive Survey.- The application of various energy Storage Technologies in Modern Smart Grid with comparative study.- Artificial Intelligence-Based Virtual Dressing Room In the Modern Fashion Industry.- Design and Development of Compliant Robotic Gripper by 3D Printing Technology.- AutoCleanAI: A Deep Learning-Enabled Autonomous Surface Cleaning Bot Integrated with IoT Technology.- Leveraging Artificial Intelligence for Enhanced Stock Market Trading Strategy.- Design of a Context-Aware Healthcare Business Process Model Offering an Extension Strategy in BPMN.- Smart Charging Scheduling Management for Suitable Al-location of EV under uncertain Spatiotemporal Environment.- Optimizing Wireless Data Transfer with Neural Network-Based Dynamic Channel Allocation.- Tourist Delight in Smart City: Unveiling the Impact of Smart Tourism Technologies on Satisfaction.- Intelligent Bug Management: Hyper-Tuned Supervised Classi cation for Automatic Bug Report Prioritization.- Mobile Choice System.- A Novel control technique for Performance Improvement of a Ship.- Development of an AI-Integrated Health Cloud for Widespread Musculoskeletal Pain: An Overview.- Efficient Deep Learning Unleashed: the EDUS-Net Revolution in Medical Plant Species Identification using Deep Learning.- Pelios - Emotion Detection using Machine Learning in Real Time.- The Utilization of Blockchain Technology in the Healthcare System.- Implementing Internet of Things (IoT) Solutions for Smart Homes.- VR Arena:Virtual Reality-based Entertainment for Society.

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Book Synopsis.- Neural network (NN) theory, NN-based control systems, neuro-system integration and engineering applications..- WPG-CAM: A novel weighted feature fusion CAM method based on information entropy using pooling and Gaussian upsampling..- Radical Basis Neural Network Based Anti-sway Control for 5-DOF Ship-mounted Crane..- Online Car-hailing Order Matching Method Based on Demand Clustering and Reinforcement Learning..- Multi-objective optimization of antenna based on improved WOA-BP neural network..- A multi-mechanism collaborative seagull optimization algorithm for optimizing BP neural network classification model..- An Analysis on Balance Model of Exploration and Exploitation Under Decoupled-Learning Pattern for Large-Scale Particle Swarm Optimizers..- Marine Ship Detection Under Fog Conditions Based on an Improved Deep-Learning Approach..- Skeleton-Based Point Cloud Sampling and its Facilitation to Classification..- Multi-agent reinforcement learning for taxi-fleet cruising strategy in ride-hailing services..- A new indoor occupancy detection model by integrating the efficient multi-scale attention mechanism into the EfficientDet model..- A Novel Automatic Generation Method for Neural Network by Using Iterative Function System..- A Predictive Maintenance Platform for a Conveyor Motor Sensor System Using Recurrent Neural Networks..- A deep learning-based method facilitates scRNA-seq cell type identification..- Adaptive Hierarchical Clustering based Student Group Exercise Recommendation via Multi-Objective Evolutionary Method..- Quantile Regression and GCN Ensembled Hybrid Interval Forecasting Model for Wind Power Generation..- Efficient Path Planning for Large-Scale Vehicular Networks via Multi-Agent Mean Field Reinforcement Learning..- A fast and accurate reconstruction method for boiler temperature field based on inverse distance weight and long short-term memory..- RoBERTa-WWM-CBA:A Mental Disease Identification Model Based on RoBERTa-WWM and Hybrid Neural Networks..- Computer vision, and their engineering applications..- A 3D Pose Estimation Method based on Deep Learning for Markerless Fish..- Safety Helmet-wearing Detection Method Fusing Pose Estimation..- Clothes Image Retrieval via Learnable FashionCLIP..- Mannequin2Real+: A Two-Stage Framework for Generating Photorealistic Model Images from Mannequins with Specified Identities for Clothing Display..- A MSARM-based EIT Image Reconstruction Method..- A Survey on Deep Learning-Based Medical Image Registration..- Design and Development of Wearable Knee Rehabilitation System based on Motor Imagery Brain Computer Interface..- SHGNN: Substructure-Aware and High Expressive Graph Neural Networks for Graph Classification..- Sensor Embedding and Variant Transformer Graph Networks for Multi-Source Data Anomaly Detection..- A Method for Sleep Staging Using Single-Channel EEG Signals Based on Horizontal Visibility Graph and Graph Isomorphism Network..- GT-ACGAN : Graph Topology-based Auxiliary Classifier GAN for graph long-tailed classification..- SNN-CPG Hierarchical Control Enhanced Motion Performance of Robotic Fish Based on STDP..- Pedestrian Fall Detection Algorithm Based on Improved YOLOv7..- A Study on Image Reconstruction Based on Decoding fMRI Through Extracting Image Depth Features.

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Book Synopsis.- Computational intelligence, nature-inspired optimizers, their engineering applications, and benchmarks..- Path planning of mobile robot with improved RRT algorithm..- Adaptive allocation method of terminal container parameters based on evolutionary game..- Unmanned Combat Aerial Vehicle Air Combat Decision-Making Method Based on Trust Region-based Proximal Policy Optimization with Rollback..- Anomaly Detection of Residential Electricity Consumption Based on Ensemble Model of PSO-AE-XGBOOST..- Hybrid neuro-fuzzy modeling for electricity consump-tion Prediction in middle-income Gauteng, South Afri-ca: utilizing fuzzy c-means method..- Differential Evolution Algorithm Based on Staged Adaptive Mutation Strategy Selection..- Dual-Population Adaptive Strategy Comprehensive Learning Particle Swarm Optimization..- Many-objective artificial bee colony algorithm based on dual indicators..- Towards Efficient Federated Learning via Vehicle Selection and Resource Optimization in IoV..- Application of machine learning in enterprise financial risk assessment: A study about China's A-share listed manufacturing companies..- A Decision Method Combining Multi granularity Rough Set and VIKOR Method..- A method for identifying fraudulent behavior in electricity bill collection based on nearest neighbor metric matching..- Fuzzy PID-Based Control Method for Thickness Uniformity in Blown Film..- Many-objective Artificial Bee Colony Algorithm Based on Decision Variable Grouping..- A NOVEL ELM OPTIMIZATION AND ITS APPLICATION IN IoT INTRUSION DETECTION..- Optimization of Rural Integrated Energy System with Shared Energy Storage on Multiple-timescales..- Synergistic Integration of Renewable Energy and HVDC Technology for Enhanced Multi-objective Economic Emission Dispatch using the Salp Swarm Algorithm..- Switched Data-Driven Model based Precise Forecasting of Photovoltaic Energy Generation..- Carbon Emission Efficiency Analysis of Pearl River Delta Ports Based on the Super-SBM-GML Index Model..- MWOA-SVM Based Algorithm in Tumor Cell Detection Research..- Rapid Detection of Formaldehyde Emission from Wood-based Panels Based on the IPOA-XGBoost..- Enhancing Rural Electrification: Delivering Affordable and Clean Electricity through Mobile Battery Solutions..- A novel electricity measurement system based on electricity usage identification..- Shared Task on NCAA 2024: Chinese Diabetes Question Classification.

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Book Synopsis.- Natural language processing, knowledge graphs, recommender systems, multimodal Deep Learning, and their applications..- A Similarity Index Time-effect Collaborative Filtering Algorithm Based on Attentional Double BP Network..- ESert: An Enhanced Span-based Model for Measurable Quantitative Information Extraction from Medical Texts..- Temporal Knowledge Graph Link Prediction using Synergized Large Language Models and Temporal Knowledge Graphs..- A New Multi-Level Knowledge Retrieval Model for Task-Oriented Dialogue..- FPLGen:A Personalized Dialogue System Based on Feature Prompt Learning..- Ensemble learning with feature fusion for well-overflow detection..- CE-DSLAM:A Dynamic SLAM Framework Based on Human Contact Experience for Escort Robots..- EmoBART: A Multi-label Emotion Classification Method Based on Pre-Trained Label Sequence Generation Model..- Improving Dialogue State Tracking with Interactive Acts Attention and Attention Divergence Loss Function..- Psychological Consultation Dialogue Generation Based on Multi-label Classification Model and GPT..- DRLN: Disentangled Representation Learning Network for Multimodal Sentiment Analysis..- Trilinear Distillation Learning and Question Feature Capturing for Medical Visual Question Answering..- Multi-modal Mood Reader: Pre-trained Model Empowers Cross-Subject Emotion Recognition..- Rehabilitation training program recommendation system based on ALBERT-LDA model..- Named entity recognition of belt conveyor faults based on ALBERT-BiLSTM-SAM-CRF..- Explicit Facial Attribute Disentanglement for Hierarchical Relationships Detection..- Fault diagnosis and forecasting, prognostic management, Time-series analysis, and cyber-physical system security..- A Federated Learning Method for Non-Intrusive Load Monitoring Based on Fed-Prox and Bi-GRU..- An Interior Illuminance Prediction Model based on Differential Evolution-Gaussian Fitting..- Mitigating Dimensional Collapse and Model Drift in Non-IID Data of Federated Learning..- Wire Rope Damage Detection Method Based on Support Vector Machine Wavelet Kernel Function Algorithm..- Ensemble Tidal Prediction Scheme by Combining Harmonic Analysis and Meteorological Predictive Module..- Privacy Preserving Average Consensus via Integrable Function Based Masking..- Fault diagnosis of photovoltaic modules based on feature extraction..- A multi-scale feature adaptation ConvNeXt for cross-domain fault diagnosis..- Transmission Line Equipment Defect Detection Based on Improved YOLO Network..- A Road Defect Detection Algorithm based on Improved YOLOv8..- Improved road defect detection model based on RT-DETR for UAV images..- Blockchain-based Multi-target Distributed Passive Localization..- Research on Monthly Precipitation Prediction in Guangxi Based on EVO-CNN-LSTM -Attention Model..- Exploiting Fourier Transform for Multi-Scale Electric Load Forecasting..- ASTGCN for Traffic Flow Prediction Based on Weather Influence..- PF-BiCGAN: An Abnormal Values Replacement Approach for Port Electrical Load Forecasting..- Short-term load forecasting of secondary CEEMDAN-SE-Transformer BiLSTM combined with error correction.

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Book SynopsisChapter 1: A Tensorial Perspective to Deep Learning.- Chapter 2: The Algebra and Geometry of Deep Learning.- Chapter 3: Building Blocks.- Chapter 4: Journey into Convolutions.- Chapter 5: Modeling Temporal Data.- Chapter 6: Transformer Architectures.- Chapter 7: Attention Mechanisms Beyond Transformers.- Chapter 8: Graph Neural Networks: Extending Deep Learning to Graphs.- Chapter 9: Self-Supervised and Unsupervised Learning in Deep Learning.- Chapter 10: Learning Representations via Autoencoders and Generative Models.- Chapter 11: Recent Advances and Future Perspectives.

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Book Synopsis.- Information Retrieval, Text Classification and QA..- Enhancing Free-Form Table Question Answering Models by Distilling Relevant-Cell-Based Rationales..- Enhangcing Sequence Representation for Personalized Search..- Joint Similarity Guidance Hash Coding Based on Adaptive Weight Mixing Strategy For Cross-Modal Retrieval..- Text Generation, Dialogue and Summarization..- Generate-then-Revise: An Effective Synthetic Training Data Generation framework for Event Detection..- Machine Translation and Multilingual Information Processing..- E: Optimizing Language Model Training for Translation via Enhancing Efficiency and Effectiveness..- Multi-features Enhanced Multi-task Learning for Vietnamese Treebank Conversion..- SimCLNMT: A Simple Contrastive Learning Method for Enhancing Neural Machine Translation Quality..- Translate-and-Revise: Boosting Large Language Models for Constrained Translation..- Knowledge Graph and Information Extraction..- A Multi-Task Biomedical Named Entity Recognition Method Based on Data Augmentation..- Biomedical Event Causal Relation Extraction by Reasoning Optimal Entity Relation Path..- Joint Entity and Relation Extraction Based on Bidirectional Update and Long-Term Memory Gate Mechanism..- MFE-NER:Multi-feature Fusion Embedding for Chinese Named Entity Recognition..- UDAA: An Unsupervised Domain Adaptation Adversarial Learning Framework for Zero-Resource Cross-Domain Named Entity Recognition..- Social Computing and Sentiment Analysis..- Triple-view Event Hierarchy Model for Biomedical Event Representation..- NLP Applications..- DialectMoE: An End-to-End Multi-Dialect Speech Recognition Model with Mixture-of-Experts..- Distinguishing Neural Speech Synthesis Models Through Fingerprints in Speech Waveforms..- Knowledge Graph-Enhanced Recommendation with Box Embeddings..- Readability-guided Idiom-aware Sentence Simplification(RISS) for Chinese..- Fundamental Theory and Method of Language Computing and Cognition..- A Tone-based Hierarchical Structure of Chinese Prosody..- Linguistic Guidance for Sequence-to-Sequence AMR Parsing..- Language Resource and Evaluation..- Automatic Construction of the English Sentence Pattern Structure Treebank for Chinese ESL learners..- Cost-efficient Crowdsourcing for Span-based Sequence Labeling:Worker Selection and Data Augmentation..- DLUE: Benchmarking Document Language Understanding..- Do Large Language Models Understand Conversational Implicature- A case study with a Chinese sitcom..- EmoFake: An Initial Dataset for Emotion Fake Audio Detection..- Going Beyond Passages:Readability Assessment for Book-level Long Texts..- Mitigating the Bias of Large Language Model Evaluation..- PPDAC: A Plug-and -Play Data Augmentation Component for Few-shot Extractive Question Answering..- Sentence-Space Metrics (SSM) for the Evaluation of Sentence Comprehension..- Large Language Models..- AuditWen: An Open-Source Large Language Model for Audit..- Chinese Grammatical Error Correction via Large Language Model Guided Optimization Training..- Pattern Shifting or Knowledge Losing? A Forgetting Perspective for Understanding the Effect of Instruction Fine-Tuning..- Prior Constrains-based Reward Model Training for Aligning Large Language Models..- Prompt Engineering 101 Prompt Engineering Guidelines from a Linguistic Perspective.

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Book Synopsis.- 1 Bipartite Consensus of Privacy-Preserving Multi-agent Systems under Adaptive Policy Control..- 2 Time-varying Constrained Consensus of Asynchronous Discrete-time Multi-agent System..- 3 Fusion of channel spatial attention enhances span-boundary awareness for nested named entity recognition..- 4 Denoising of cable  signpartial dischargeals based on IACEEMDN and improved wavelet thresholding..- 5 Efficiency Evaluation of Deep Sea Operations Based ADC Model and Analytic Hierarchy Process..- 6 Design and Implementation of a Ceramic Pressure Sensor for Marine Applications..- 7 A Knowledge Graph Construction Method for Legal Documents..- 8 A Metal Grain Boundary Extraction Algorithm Based on Improved U-Net and Grain Boundary Repair..- 9 A Method of Feed-forward Control Command Calculation Based on Unscented Kalman Filter..- 10 Improved SLTV-MPC for Epidemic Prevention Robots based on Artificial Potential Field, etc.

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Book Synopsis.- 1 Design of IIR fractional order digital differentiators using Iterative Convex Optimization algorithm..- 2 Online Learning Algorithm for Multi-agent Noncooperative Games..- 3 Knowledge Graph Construction for Patent Information in Offshore Wind Power Field..- 4 Modeling of Interval Type-2 Fuzzy Logic System by Semi-Tensor Product..- 5 Robust Adaptive Control of Missiles Based on Fuzzy RBF Neural Network..- 6 Deep Reinforcement Learning of Physically Simulated Character Control..- 7 The Game of Degree of Target-Attacker-Defender Game With Non-zero Capture Radius..- 8 Visual inertial 3D reconstruction system based on KLT optical flow and voxel hash..- 9 Analysis of students' class status based on deep learning, etc.

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Book Synopsis.- Anomaly Detection with Foundation Models..- GPT-4V-AD: Exploring Grounding Potential of VQA-oriented GPT-4V for Zero-shot Anomaly Detection..- CLIP-AD: A Language-Guided Staged Dual-Path Model for Zero-shot Anomaly Detection..- DDPM-MoCo: Advancing Industrial Surface Defect Generation and Detection with Generative and Contrastive Learning..- Dual Memory-guided Probabilistic Model for Weakly-supervised Anomaly Detection..- Deep Learning for Human Activity Recognition..- Real-Time Human Action Prediction via Pose Kinematics..- Uncertainty Awareness for Unsupervised Domain Adaptation on Human Activity Recognition..- Deep Interaction Feature Fusion for Robust Human Activity Recognition..- How effective are Self-Supervised models for Contact Identification in Videos..- A Wearable Multi-Modal Edge-Computing System for Real-Time Kitchen Activity Recognition.

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Book SynopsisChapter 1: Hybrid CNN and XGBoost Model Tuned by Metaheuristics for DC Motor Failure Prediction using Mel Spectograms.- Chapter 2: Improvements of Workflow-Based Mechanism for ERP System User Interface Adaptation.- Chapter 3: Doubt Solver Chatbot using Speech-to-Text in Whisper and Few-Shot Learning in LangChain.- Chapter 4: A Piezoelectric Based Platform for Energy Harvesting.- Chapter 5: Limitations of Existing Deep Learning Models for Cultural Image Data: A Case Study of Indian Petroglyphs.- Chapter 6: Enhancing Human Diseases Prediction with Nail Images using VGG16.- Chapter 7: Computational Intelligence in Smart Farming: Vision and Trials.- Chapter 8: Advancements in Spoof Attack Detection for Iris Recognition Systems: A Review.- Chapter 9: Proposing Novel Mathematical Models of Question Difficulty and User Ability for Adaptive Testing System.- Chapter 10: Strategic Network Intervention: Simulating and Blocking Contagion Spread using Dominating Sets. etc.

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Book SynopsisPart I. Theoretical Aspects of Spiking Neural P Systems.- Chapter 1. Fundamentals of Spiking Neural P Systems.- Chapter 2. Computational Power of Spiking Neural P Systems.- Chapter 3. Computational Complexity of Spiking Neural P Systems.- Chapter 4. Variants of Spiking Neural P Systems.- Chapter 5. Automatic Design of Spiking Neural P Systems.- Part II. Real-world Applications of Spiking Neural P Systems.- Chapter 6. Complex Optimization with Spiking Neural P Systems.- Chapter 7. Classification with Spiking Neural P Systems.- Chapter 8. Fault Diagnosis with Spiking Neural P Systems.- Chapter 9. Medical Image Processing with Spiking Neural P Systems.- Chapter 10. More Applications of Spiking Neural P Systems.- Part III. Implementations of Spiking Neural P Systems.- Chapter 11. Software Simulations of Spiking Neural P Systems.- Chapter 12. Hardware Simulations of Spiking Neural P Systems.

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Book SynopsisPattern Recognition & Machine Learning.- YOLOv5s Multimode Sensing Based Pipe Network Detection and Inspection Method.- Automatic Analysis Framework for Campus Wireless Network Performance Based on Web Services and Supervised Learning Methods.- Learning to Score Sign Language with Two Stage Method.- A Lightweight Dual Path Conformer Network for Speech Separation.- SLPNet Student Learning Performance Prediction During the COVID19 Pandemic Via a Deep Neural Network.- A Rapid Finger Vein Recognition Approach Based on UNet.- A Surface Defect Detection Method Based on Domain Correlation.- FDA UNet Frequency Domain Dual Attention Based on UNet for Stain Normalization.- A DQN Based Resource Adaptation Strategy for In Network Computing Based Holographic Type Communication.- Local Multiscale Aggregation with a Global Attention Super Resolution Network.- An Adaptive Capsule Network Based on 3D Convolution Based Attention.- A Comprehensive Attention Scoring Model for Collaborative Learning.- Network Communication and Security.- Analysis of the Influence of Multi Point Pumping on the Gain in an Optical Fiber Amplifier.- Exploring the Feasibility of Raspberry Pi 4 Model B Clusters as an Alternative to Advanced Process Chip Computers.- Internal Task Offloading Deployment Mechanism of In Network Computing Devices for Holographic Type Communication.- A Review of Research on Vehicle CAN Network Intrusion Detection via Artificial Intelligence.- IEN NFT A Naming Based Novel Semantic NFT Architeture with Intrinsic Binding and Flexible Interoperability.- Frontier and Comprehensive Applications.- From DPI Data to Warning Real Time Risk Assessment in the Fight Against Internet Fraud.- Information Propagation Model Based on 2 Dimensional Simplicial Complexes.- Quantitative Evaluation of the Whitening Effects of Facial Masks via EfficientNet and the Wavelet Transform.- Data Science and Technology.- FabricDG A Transaction Conflict Optimization Solution for the Consortium Blockchain.- Multivariate Time Series Forecasting of Integrated Energy Systems Based on Fast Fourier Transform Fully Connected Space Time Graph.- Automobile Parts Detection and Traceability Based on Blockchain and Federated Learning.- Research on Traceability Encryption of Auto Parts Based on Blockchain and IBE.- An Efficient Method for Encrypting and Protecting Electricity Usage Privacy Data.

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Book Synopsis.- Keynote Presentations..- Towards Automated Artificial Intelligence via Automated Algorithm Selection (Keynote talk). .- Recent Advances in Graph Neural Networks: Concepts, Applications, and Future Directions (Keynote talk)..- Empowering Proactive Data Mining Strategies through Generative AI (Invited talk)..- Natural and Sign Language Processing..- An Automatic Document Validation System in the Platform Merdeka Mengajar by using Word Embeddings and Supervised Classification Models..- Dysarthric Speech Recognition System with Life-Long Learning Technique in Taiwanese Mandarin..- Multi-document Summarization in Medical Literature using PICO-Masking Approach..- Performance of the Sign Language Recognition System Using the Long Short-Term Memory Network Algorithm..- Applications of Data Science and Artificial Intelligence..- Navigating Free Online IT Courses: A Study of Completion in open.uom.lk. .- AI-Driven Prompt Templates for User Acceptance Test Case Generation..- Assessing the Efficiency of Collective Decisions in Corporate Context..- Scalable Procedural Content Generation via Transfer Reinforcement Learning..- Affective Computing and AI Games..- Challenges of Open World Games for AI: Insights from Human Gameplay..- The Impact of AI Avatar Appearance and Disclosure on User Motivation..- Cost-Sensitive Ensemble Learning Framework for EEG based Emotion Recognition..- Embedded AI and Applications..- Decentor: The Rise of Intelligent Edge Devices..- IA&AI: Analysis of CPU Cache-Interference in embedded AI Applications..- Enhancing Automotive Products with TinyML and MEMS Sensors: a Preliminary Approach..- Data Science..- Strategic Impression Management: Pre-Announcement Social Media Discourse and Market Reactions to Data Breach Announcements..- Enhancing Classification Accuracy on Sparse Datasets Using a Modified Hybrid RBF-BP Network Classifier and the Sample Generation Method ..- AI and Healthcare..-  Comparative Analysis of Liver Disease Classification using Ensemble Learning and Feature Selection..- Unveiling Societal Health Patterns: A Study of Physical Activity, Chronic Diseases, and Depression Symptoms in Europe..- A Comparative Analysis of Machine Learning Algorithms to Predict Dengue Shock Syndrome..- The Role of Machine Learning in Obesity Prediction: A Study on the Effectiveness of Different Approaches.

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Book SynopsisIntroduction.- Scene understanding.- Graph neural network basics.- Graph convolutional network for scene parsing.- Graph neural network for human parsing.- Dynamic graph neural networks for human parsing.- Graph neural networks for video object segmentation.- Conclusion and future work.

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