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This two-volume set constitutes the refereed proceedings of the Third International Conference, ISDS 2025, held in Can Tho City, Vietnam, during October 18 19, 2025.
The 67 full papers and 2 Short papers included in this book were carefully reviewed and selected from 181 submissions. They focus on the development of innovative, interpretable, and explainable data science and artificial intelligence technologies. They were organized in topical sections as follows:
Part I: Intelligent Systems and Data Science (CCIS 2714).
Part II: Intelligent Systems and Data Science (CCIS 2716).
List of contents
Part-I.
AI in Agriculture, Aquaculture, and Environments
.- Evaluating Spatial Coverage in UAV-Based Rice Growth Stage Classification with Deep Learning Models.
.- Improving Rice Disease Segmentation via Iterative Pseudo-label Correction.
.- Explainable AI for Agriculture: Teacher Student Learning in Rice Pest Classification.
.- Optimizing EfficientNetV2 for Insect Classification.
AI in E-Commerce, Education, and Society
.- Semantic Similarity for User-based Collaborative Recommendation Systems.
.- Reforming Attention in Transformer-based Graph Neural Networks for Fashion Recommendation.
.- Decision Support System for Selecting Majors in IT Training Programs.
.- An Explainable Biased Multi-Relational Matrix Factorization Model using XAI for Recommendation Systems.
.- An Efficient Lightweight Multimodal Framework for Autism Behavior Recognition on the AV-ASD Dataset.
AI in Health Care Analytics
.- Painless and Accurate AI-driven Method for Personal Glucose Tracking based on Multi-Spectral Sensing.
.- MS-CXR: Improving Multi-label Chest X-ray Classification via a Multi-Architecture Soft Voting.
.- ESQ-YOLO: An efficient method for blood cell detection based on improved YOLOv8.
.- Breast Cancer Classification using Ensemble Deep Learning with RIDOPT-NET.
.- A Semi-automated MRI-Image Processing System for Exploratory Analysis of Radiomics Features Toward Clinical Prediction of Meningioma Growth.
.- A Meta-Classifier Built on Self-Supervised Models for Improving Chest X-ray Image Classification.
Big Data, IoT, and Cloud Computing
.- Secure Offloading for Terahertz-Band UAV-aided MEC Backscatter Communication Networks.
.- Enhancing Model Privacy and Security for Blockchain-based Federated Learning.
.- An Improved Low-Power Wearable Sensor for Dairy Cow Behavior Classification Using Deep Learning Algorithms.
.- A Time-Frequency Signal Analysis System for Drastic Improvement of Sensitivity and Detection Duration of Biosensors.
Intelligent Systems
.- Vibration-based Diagnosis and Monitoring of Bearing Degradation.
.- Random Forest with Z-score in Supervised Machine Learning.
.- Optimizing Image Colorization: Innovations with CVAE.
.- Ontology-Enhanced Semantic Image Search with Deep Learning and CLIP Embedding.
.- Deep Ant Colony Optimization for Electric Pickup and Delivery Problem.
.- Automatic 3D Space Reconstruction System From Video Using 3D Gaussian Splatting.
.- Automated Trace Clustering: Selecting Feature Encodings and Clustering Algorithms Based on Process Model Quality.
.- AI-Agent-Powered Video Object Contextualization & Retrieval System: Architecture and System.
.- AGSEU-Net: An Optimal Deep Learning Framework for Noise Filtering.
Natural Language Processing
.- Enhancing Vietnamese Hate Speech Detection with Multi-Agent Debate.
.- Enhanced Chart Detection in Document Images with Segmentation Backbone.
.- ChartLite: Simplified End-to-End Extraction of Chart Data for Enhanced Visual Understanding.
.- Applying Large Language Model in Survey Extraction.
.- AI-Powered Investment Advisor: Enhancing Financial Decisions with NLP and Predictive Analytics.
.- A Novel Pipeline for Automatic UML Sequence Diagram Synthesis and Multimodal Scoring.
Part-II.
AI in Agriculture, Aquaculture, and Environments
.- LAVA: Leveraging Self-Attention to Learn Video Features for Wastewater Pipe Anomaly Detection.
.- Tomato Leaf Classification Using GAN-Generated Images.
.- AquaNetCT: Detecting and Representing Urban Drainage Networks from Video Analysis.
.- A Portable Multi-spectral Sensor-Based System with Machine Learning Models for Non-Destructive Sweetness Assessment of Cherry Tomatoes.
AI in E-Commerce, Education, and Society
.- Student Engagement Estimation in Classroo
Summary
This two-volume set constitutes the refereed proceedings of the Third International Conference, ISDS 2025, held in Can Tho City, Vietnam, during October 18–19, 2025.
The 67 full papers and 2 Short papers included in this book were carefully reviewed and selected from 181 submissions. They focus on the development of innovative, interpretable, and explainable data science and artificial intelligence technologies. They were organized in topical sections as follows:
Part I: Intelligent Systems and Data Science (CCIS 2714).
Part II: Intelligent Systems and Data Science (CCIS 2716).
