{"product_id":"9783032102010","title":"Advances in Computational Collective Intelligence : 17th International Conference, ICCCI 2025, Ho Chi Minh City, Vietnam, November 12-15, 2025, Proceedings, Part I (Communications in Computer and Information Science 2747) (2025. xxiv, 499 S. XXIV, 499 p.","description":"\u003cp\u003eThis two-volume set CCIS 2747-2748 constitutes the refereed proceedings of the 17th International Conference on Computational Collective Intelligence, ICCCI 2025, held in Ho Chi Minh City, Vietnam, during November 12 15, 2025.\u003c\/p\u003e\u003cp\u003eThe 67 full papers included in this book were carefully reviewed and selected from 290 submissions. The papers are organized in the following topical sections:\u003c\/p\u003e\u003cp\u003ePart I: Collective Intelligence and Collective Decision-Making; Cooperative Strategies for Decision Making and Optimization; Computational Intelligence for Digital Content Understanding; Data Fusion and Application for Industry 4.0; and Natural Language Processing.\u003c\/p\u003e\u003cp\u003ePart II: Deep Learning Techniques; Social Networks and Intelligent Systems; Computational Intelligence in Medical Applications; Data Mining and Machine Learning; and Cybersecurity, Blockchain Technology and Internet of Things.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003e.- Collective Intelligence and Collective Decision-Making\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Multi-Agents UAV Coordination for Evacuation Support in Disaster-Affected Areas.\n.- A Multi-Agent Model of Knowledge Acquisition.\n.- A General Framework for Collective Recommendation System using Dynamic Users Clustering.\n.- Which motivation strategy impacts game player the most?.\n.- Multidimensional vector ranking algorithm for the group recommendation system.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- Cooperative Strategies for Decision Making and Optimization\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Multi Objective Optimization of the Home HealthCare Optimization Problem using Machine Learning and Tabu Search.\n.- Parallel Memetic Differential Evolution for Minimum Sum-of-Squares Clustering.\n.- Performance Analysis and Optimization for a Multi-tasking Federated Learning Framework.\n.- Generating All Connected and Non-Isomorphic Regular Graphs Using a Constraint-Based Approach.\n.- Stock Price Prediction with PSO-LSTM: A Case Study on Global Corporations.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- Computational Intelligence for Digital Content Understanding\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Classification of Violent Scenes in Cartoon Videos Using Deep Learning Techniques.\n.- Real-Time Automated Detection of Violent Content in Animated Cartoons Using YOLO.\n.- RAViS: Region-Aware Video Style Transfer with Prompt-Based Attention.\n.- Chat2Edit: A Prompt-based Image Editor with Live Feedback and Parameter Recommendation.\n.- Integrating Local Features into Vision Transformer Architecture for Vietnamese Visual Question Answering.\n.- Vision Transformer explainability: Enhancing class activation map of every heads using confidence scores with perturbation.\n.- Enhancing Visual Question Answering with Semantic-Preserving Image Generation.\n.- Smart Handwritten Notes Recognition: AI-Powered Solutions for Learning Beyond.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- Data Fusion and Application for Industry 4.0\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Chart VQA: A Step Towards Visual Understanding.\n.- Mind Sparks: Detecting Aha Moments for Personalized Learning with EEG,\n.- BiComplex Multimodal Fusion with Entity Attention.\n.- Advancing Multimodal Knowledge Graph Completion with KAN Fusion and Quaternion Fourier Transform Filtering.\n.- Topological Framework for Exploring Imbalanced Time Series.\n.- Enhancing Class Incremental Learning with Fisher-Weighted Parameter Fusion and Feature Alignment.\n.- Predicting Thesis Orientation for Student Based on Academic Performance.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- Natural Language Processing\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- How Good is BLI as an Alignment Measure: A Study in Word Embedding Paradigm.\n.- Augmenting Classical Chinese - Modern Vietnamese Couplet Parallel Corpus using LLM-assisted methods.\n.- Enhancing Embedding Representations for Large Language Models: A Comparative Study of the Hashing Trick and One-Hot Encoding.\n.- Summarizing Vietnamese Books Using a Multi-stage Hybrid Pipeline.\n.- Parallel speech corpus of Kazakh and Turkish languages: methodology of creation and application prospects.\n.- Vietnamese Question Answering on Tabular Data via Large Language Models.\n.- Leveraging GPT-4 for Cryptocurrency News Sentiment Detection: A Multi-Model Benchmarking.\n.- A Benchmark Dataset and Evaluation Framework for Vietnamese Large Language Models in Customer Support.\u003c\/p\u003e","brand":"SPRINGER, BERLIN; SPRINGER","offers":[{"title":"Default Title","offer_id":48870724894955,"sku":"00000_00000_00000_00000","price":219.72,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0758\/4484\/5803\/files\/9783032102010-1.jpg?v=1781718068","url":"https:\/\/kinokuniya.com.sg\/zh\/products\/9783032102010","provider":"Books Kinokuniya Singapore","version":"1.0","type":"link"}