Advances in Computational Collective Intelligence: 17th International Conference, ICCCI 2025, Ho Chi Minh City, Vietnam, November 12–15, 2025, Proceedings, Part I(2747 Communications in Computer and Information Science)

This 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. The 67 full papers included in this book were carefully reviewed and selected from 290 submissions. The papers are organized in the following topical sections: Part 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. Part 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.

Table of Contents:
.- Collective Intelligence and Collective Decision-Making .- Multi-Agents UAV Coordination for Evacuation Support in Disaster-Affected Areas. .- A Multi-Agent Model of Knowledge Acquisition. .- A General Framework for Collective Recommendation System using Dynamic Users Clustering. .- Which motivation strategy impacts game player the most?. .- Multidimensional vector ranking algorithm for the group recommendation system. .- Cooperative Strategies for Decision Making and Optimization .- Multi Objective Optimization of the Home HealthCare Optimization Problem using Machine Learning and Tabu Search. .- Parallel Memetic Differential Evolution for Minimum Sum-of-Squares Clustering. .- Performance Analysis and Optimization for a Multi-tasking Federated Learning Framework. .- Generating All Connected and Non-Isomorphic Regular Graphs Using a Constraint-Based Approach. .- Stock Price Prediction with PSO-LSTM: A Case Study on Global Corporations. .- Computational Intelligence for Digital Content Understanding .- Classification of Violent Scenes in Cartoon Videos Using Deep Learning Techniques. .- Real-Time Automated Detection of Violent Content in Animated Cartoons Using YOLO. .- RAViS: Region-Aware Video Style Transfer with Prompt-Based Attention. .- Chat2Edit: A Prompt-based Image Editor with Live Feedback and Parameter Recommendation. .- Integrating Local Features into Vision Transformer Architecture for Vietnamese Visual Question Answering. .- Vision Transformer explainability: Enhancing class activation map of every heads using confidence scores with perturbation. .- Enhancing Visual Question Answering with Semantic-Preserving Image Generation. .- Smart Handwritten Notes Recognition: AI-Powered Solutions for Learning Beyond. .- Data Fusion and Application for Industry 4.0 .- Chart VQA: A Step Towards Visual Understanding. .- Mind Sparks: Detecting Aha Moments for Personalized Learning with EEG, .- BiComplex Multimodal Fusion with Entity Attention. .- Advancing Multimodal Knowledge Graph Completion with KAN Fusion and Quaternion Fourier Transform Filtering. .- Topological Framework for Exploring Imbalanced Time Series. .- Enhancing Class Incremental Learning with Fisher-Weighted Parameter Fusion and Feature Alignment. .- Predicting Thesis Orientation for Student Based on Academic Performance. .- Natural Language Processing .- How Good is BLI as an Alignment Measure: A Study in Word Embedding Paradigm. .- Augmenting Classical Chinese - Modern Vietnamese Couplet Parallel Corpus using LLM-assisted methods. .- Enhancing Embedding Representations for Large Language Models: A Comparative Study of the Hashing Trick and One-Hot Encoding. .- Summarizing Vietnamese Books Using a Multi-stage Hybrid Pipeline. .- Parallel speech corpus of Kazakh and Turkish languages: methodology of creation and application prospects. .- Vietnamese Question Answering on Tabular Data via Large Language Models. .- Leveraging GPT-4 for Cryptocurrency News Sentiment Detection: A Multi-Model Benchmarking. .- A Benchmark Dataset and Evaluation Framework for Vietnamese Large Language Models in Customer Support.