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[null,"1.","Record Nr.",null,"UNINA9911047809003321"]
[null,null,"Autore",null,"Fujita Hamido"]
[null,null,"Titolo",null,"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 / / edited by Hamido Fujita, Yutaka Watanobe, Moonis Ali, Yinglin Wang"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2026"]
[null,null,"ISBN",null,"981-9688-89-2"]
[null,null,"Edizione",null,"[1st ed. 2026.]"]
[null,null,"Descrizione fisica",null,"1 online resource (811 pages)"]
[null,null,"Collana",null,"Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 15706"]
[null,null,"Disciplina",null,"006.3"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[{"$nulls":4},"Artificial Intelligence"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"-- Reinforcement Learning.  -- An Enhanced Preference-Based Reinforcement Learning Framework for Autonomous System.  -- Reinforcement Learning based Iterated Greedy for Parallel Machine Scheduling with Weighted Earliness Tardiness.  -- VMD-IMF Enhanced Hyper Graph Attention Module Based Reinforcement Learning For Portfolio Optimization.  -- A reinforcement learning based framework to the facility layout problem.  -- Optimization.  -- Bayesian Optimization for Fine-Tuning an AI Solver: Application to Preventive Maintenance Scheduling Problems.  -- Domain Generalization through Domain-Expert Risk Assessment.  -- Enhanced Optimization Space Learning: Towards Real-Time Compiler Optimization.  -- Optimizing Feature Selection Binary Peacock Algorithm with improved movement strategy.  -- Natural Language Processing.  -- Apply TF-IDF and LDA to Explore Topics and Related Trends in Electric Vehicle Reviews.  -- Identifying Fake Reviews and Their Implications Using BERT and LDA: A Case Study of Online Shopping Website Reviews.  -- A Lightweight and Efficient Punctuation and Word Casing Prediction Model for On Device Streaming ASR.  -- SYNCAD: Synchronised Yields from Narrative Cross Modal Audio and Data.  -- MultiGAU: Real Time Sign Language Generation using Multimodal Gated Attention.  -- Classification of Approval Desires and Analysis of Emotional and Linguistic Features in SNS Posts Using Generative AI.  -- Multi-Agent.  -- Hierarchical Multi-Agent Reinforcement Learning with Epistemic Priors for Scalable "]
[{"$nulls":4},"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."]
[null,null,null,"Sommario/riassunto","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."]