Advances in Computational Collective Intelligence: 17th International Conference, ICCCI 2025, Ho Chi Minh City, Vietnam, November 12–15, 2025, Proceedings, Part II(2748 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:
.- Deep Learning Techniques. .- AERNN4RP: An Attention-Enriched Recurrent Neural Network for Rainfall Prediction. .- Drone-based Autonomous Navigation and Victim Detection Using Deep Learning Technique for Non-GPS In-Building Environments. .- Defensive Strategy for Explainability in Deep Neural Networks Under Adversarial Attacks. .- Balancing Water Quality using Efficient Deep Learning Configuration for Aquaponics Application. .- Comparative Analysis of CNN Architectures for Boxing Punch Detection. .- ResNet-Based Pandemic Keyword Spotting in Continuous Multilingual Speech: A Study in UNESCO’s Audio Messages for Rapid Health Response. .- SignBart – New approach with the skeleton sequence for Isolated Sign language Recognition. .- Semantic Communication with Transformer and Knowledge Distillation for Language Translation. .- Social Networks and Intelligent Systems. .- Will they spread it or unmask it? Designing a method for questionnaire specific data characterisation - study case on users’ reactance to fake news. .- Temporal Dynamic Networks in Infectious Disease Modeling: A review of Methods and Applications. .- GeeSanBhava: Sentiment Tagged Sinhala Music Video Comment Data Set. .- Natural Language Processing with Disaster Tweets: Predicting Crisis Events with Social Media Using Machine Learning. .- Large Language Model-Driven Approach for Automated Competency Knowledge Graph Construction in IT Domain. .- Computational Intelligence in Medical Applications. .- An Efficient Deep Learning-Based Pneumonia Detection Using Chest X-Ray Image Augmentation. .- Deep Neural Network for Early Parkinson’s Disease Detection from Offline Hand-drawing. .- Pathomic Signature for Stratification of Metastasis Risk in Colon Cancer. .- A Novel Hybrid Deep Learning Framework for Automated Malaria Parasite Detection in Microscopic Blood Smear Images. .- An Explainable AI-Based Breast Cancer Classification Combining Rule Sets and Deep Neural Networks. .- Data Mining and Machine Learning. .- Prediction of Real Estate Prices in 15 Largest Polish Cities Using Machine Learning. .- Automated Stock Trading With Q-Learning Algorithm. .- EpiPredict: A Smart Solution for Real-Time Epileptic Seizure Prediction and Alerts based on Machine Learning Models. .- Using Closed Frequent Itemsets To Explain Classification Tasks. .- Measuring Causal Effects of Online Medical Records on Medical Decision Making Using Causal Machine Learning. .- Machine learning-based Chat Bot for Diagnosing Depression: A Mental Disorder Illness. .- LogiDRS: Logical Reasoning using Discourse Relation Sense. .- From Networks to Circuits: A Structured Approach to AI Interpretability. .- Cybersecurity, Blockchain Technology and Internet of Things .- IVFDT: An Improved Very Fast Decision Tree Approach for Blockchain Data Stream Classification. .- HEMA – IDS: A Hybrid Multi Architecture Ensemble IDS for prediction of malicious network traffic. .- Secure IoT Healthcare: Federated Learning and Blockchain for Privacy-Preserving AI. .- Payload Image-Based Model for Automotive Intrusion Detection on STM32 Platform. .- WleAtNet: A Lightweight Deep Learning Model and Data Framework for Wireless Link Estimation in Resource-Constrained Internet of Things. .- Assessing the Performance Overhead of Firewall-based Intrusion Detection Systems on Home Computers. .- Stylometric and Embedding Synergy for Smishing Detection. .- Anomaly Detection in Industrial Ovens Using XGBoost and IoT Data.