- ホーム
- > 洋書
- > ドイツ書
- > Mathematics, Sciences & Technology
- > Computer & Internet
- > internet, data communication, networks
Full Description
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.
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.
