Advances and Trends in Artificial Intelligence. Theory and Applications

38th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2025, Kitakyushu, Japan, July 1–4, 2025, Proceedings, Part I

AvHamido Fujita,Yutaka Watanobe

Häftad, Engelska, 2025

Del 15706 i serien Lecture Notes in Computer Science

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Beskrivning

This book constitutes the refereed proceedings of the 38th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems on Advances and Trends in Artificial Intelligence, IEA/AIE 2025, held in Kitakyushu, Japan, in July 1–4, 2025.The 80 full papers and 9 short papers included in this book were carefully reviewed and selected from 130 submissions. They focus on the following topical sections:Part I: Reinforcement Learning; Optimization; Natural Language Processing; Multi-Agent; Machine Learning and Decision Making; Knowledge Representation; Data Engineering; Large Language Model; Computer Vision.Part II: Robotics; Education; Cyber Security; Healthcare and Medical Applications; Advanced Applied Intelligence Methodologies and Applications; Intelligent Systems and e-Applications; Industrial and Engineering Applications.

Produktinformation

Utgivningsdatum:2025-07-01
Mått:155 x 235 x 31 mm
Vikt:844 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:534
Förlag:Springer Nature Switzerland AG
ISBN:9789819688883

Utforska kategorier

Artificiell intelligens inom Data och IT

Innehållsförteckning

.- 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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