Advances and Trends in Artificial Intelligence. Theory and Applications
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Home > Computing and Information Technology Books > Computer Science Books > Artificial intelligence > Advances and Trends in Artificial Intelligence. Theory and Applications: 39th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2026, Kuala Lumpur, Malaysia(16616 Lecture Notes in Computer Science)
Advances and Trends in Artificial Intelligence. Theory and Applications: 39th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2026, Kuala Lumpur, Malaysia(16616 Lecture Notes in Computer Science)

Advances and Trends in Artificial Intelligence. Theory and Applications: 39th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2026, Kuala Lumpur, Malaysia(16616 Lecture Notes in Computer Science)


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About the Book

This book constitutes the refereed proceedings of the 39th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems on Advances and Trends in Artificial Intelligence, IEA/AIE 2026, held in Kuala Lumpur, Malaysia, July 6–8, 2026.

The 99 full papers and 8 short papers included in this book were carefully reviewed and selected from 210 submissions. They focus on the following topical sections: Industry, Manufacturing and Fault Diagnosis; Security, Privacy and Trustworthy AI; Reinforcement and Multi-Agent Learning; Machine Learning Methods and Evaluation; Adaptive Learning and Contrastive/Energy-Based Methods; Fuzzy Systems, Optimization and Emerging Applications.



Table of Contents:

.- Industry, Manufacturing and Fault Diagnosis
.- Empirical Evaluation of Rule-Based and Machine Learning Approaches for Fault Detection in Building HVAC Systems.
.- Saving Energy with Compiler Autotuning.
.- Self-Supervised Magnetic Fault Diagnosis in PMSMs Using Self2Self+ and FEM-Based Flux Maps.
.- A New Approach to Transformer-based State Encoding for Deep Reinforcement Learning Scheduling in Sustainable HPC Systems.
.- Performance Evaluation of Deep Learning Models for Counting Bus Passengers on Low-energy Edge Devices.
.- Adaptive Coordination in Multi-Agent Systems Inspired by Reinforcement Learning and Couzin-Leader Models.
.- Spectral Fault Receptive Fields: A MATLAB Toolbox for Health Monitoring of Rotating Machinery.
.- Q-Fidelity: Hybrid Quantum–Classical Anomaly Detection with Illumination-Conditioned Noise on MVTec AD 2.
.- Industrial Visual Anomaly Detection in Robotics: Methods, Datasets, and Deployable System Architectures.
.- Security, Privacy and Trustworthy AI
.- A FAIR-Aligned Data Engineering Architecture Enabling Machine Learning-Ready Cancer Mortality Surveillance in Brazil.
.- A Security Intelligence Model for Collaborative Cloud–IoT Environments Using Multi-Client Federated LSTM Learning.
.- Unsupervised SEC Form 4 Footnote Change Detection using Fine-Tuned Sentence Transformer and Multi-Task LSTM Networks.
.- SaltGuard: A Reproducible Data-to-Model System for Enhancing Salinity Intrusion Analysis in the Mekong Delta.
.- AN AI-Powered Exoskeleton for Upper-Limb Rehabilitation.
.- XC-IDS: Concept-Based Explainable Intrusion Detection via TCAV and MITRE ATT&CK.
.- MAHAN: A Memory-Aware Hybrid Attention Network for Obfuscated Malware Detection in Volatile Memory Forensics.
.- Multimodal Feature Fusion for Portable Executable Malware Detection and Classification.
.- Enhanced Inclusive Cybersecurity and Safety Risk Assessment (E-ICSRA) Framework for Industrial Control Systems.
.- Reinforcement and Multi-Agent Learning
.- A Multi-Agent Reinforcement Learning Approach with Self-Attention for Multi-Stock Portfolio Trading.
.- MOD my Catalog: Adopting the MOD-API in TOOL.
.- Adaptive Heterogeneous Soft Island Models for Population-Based Optimization.
.- Rapid Robot Deployment through One-Shot Learning from Demonstration.
.- From Assistant to Agent: A State-Aware VLM Framework for Intelligent Human-Robot Collaboration System.
.- Enhancing Stability and Convergence in Graph-Based Chess Reinforcement Learning Using Adaptive Optimization Strategies.
.- Testing Reinforcement Learning Applications with Test Suites Generated from Ontologies.
.- An Agentic RAG-Based LLM System for Medicine Recommendation.
.- A Deep Reinforcement Learning Approach for the Hoist Scheduling Problem in Electroplating Lines: A Proof of Concept.
.- Machine Learning Methods and Evaluation
.- Comparative Analysis of Deep Convolutional Neural Networks for Rice Disease Identification in Precision Agriculture.
.- Comparing Weight Aggregation Strategies in Group Decision Analysis.
.- An Adaptive and Uncertainty-Aware Ensemble Learning Model for Predicting IT Graduates’ GPA Using Socio-Economic, Academic, and Demographic Data.
.- Extracting Travel Time Information from Raw GPS Data for Public Bus Transportation: A Case Study in Ho Chi Minh City, Vietnam.
.- A Scalable Framework for Entity Resolution and Corporate Network Inference in Large Business Data.
.- Adaptive Temporally-Aware Action Quality Assessment: A Prototype Learning Framework.
.- Shape-Aware Compression of Streaming Data: An Online Dynamic Polynomial Selection Approach.
.- Context- and Exposure-Conditioned User-State Signals in Desktop 3D Learning Simulations.
.- A Performance Study of Online Missing Value Imputation Techniques.
.- Adaptive Learning and Contrastive/Energy-Based Methods
.- New Score Function to Ranking Interval-Valued Intuitionistic Fuzzy Values.
.- Adaptive Conditional-Residual Deep Video Coding with Pixel-wise Motion-Aware Masks.
.- Improving ASD Gait Recognition by Combining Normalized Skeleton Data with Dynamic Motion Features.
.- Mitigating the Long-Context Bottleneck: Prompt Compression Techniques for Real-Time Vietnamese Human-Robot Interaction.
.- Energy-Based Fair Recommendations: Unifying Contrastive Learning and Energy Statistics for Bias Mitigation.
.- Discourse Modeling and Corpus Compliance Analysis for Drone-ATC Interactions.
.- An Architecture for Triadic Empathic Social Agents with the Integration of the Theory of Mind.
.- Fuzzy Systems, Optimization and Emerging Applications
.- Fuzzy-DJSF: DJSF Optimization Method with Adaptive Scheduling Algorithm for Handling Uncertainty in Hadoop YARN Clusters.
.- AI-Based System for Automatic Backlog Generation and Preliminary Estimation from Requirement Documents.
.- RAMR: A Reliability-Aware Multimodal Framework for Image-Based Recommendation with Adaptive Fusion and Graph Reliability Propagation.
.- Computing the Distribution of the Traces of a Business Process by their Lengths.
.- Application of Machine Learning in Predicting and Optimizing the Adsorption of Ciprofloxacin Using the Biochar-Fe3O4-Chitosan Material.
.- Physical Layer Security of NOMA Networks with Energy Harvesting and Intelligent Reflective Surfaces.
.- A New Blockchain Framework For A Fall Detection System.
.- Research on CAD Agent Construction Framework Driven by Geometric Constraint Chains.
.- Formation Over Retrieval: The Living Reference as a Condition of Persistent Presence in Human–AI Systems.


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Product Details
  • ISBN-13: 9789819228874
  • Publisher: Springer Verlag, Singapore
  • Publisher Imprint: Springer Nature
  • Height: 235 mm
  • No of Pages: 612
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Series Title: 16616 Lecture Notes in Computer Science
  • Width: 155 mm
  • ISBN-10: 9819228875
  • Publisher Date: 05 Aug 2026
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Sub Title: 39th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2026, Kuala Lumpur, Malaysia


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Advances and Trends in Artificial Intelligence. Theory and Applications: 39th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2026, Kuala Lumpur, Malaysia(16616 Lecture Notes in Computer Science)
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Advances and Trends in Artificial Intelligence. Theory and Applications: 39th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2026, Kuala Lumpur, Malaysia(16616 Lecture Notes in Computer Science)
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