This two-volume set constitutes the refereed proceedings of the Third International Conference, ISDS 2025, held in Can Tho City, Vietnam, during October 1819, 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).

Inhalt

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: TeacherStudent 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 Classroom Videos Using Video Swin Transformer.
.- ROPEVISION: A Computer Vision-Based System for Jump Rope Technique Recognition and Counting.
.- CAHIM: Contructing Auto-generated HIstorical Mindmaps based on Clustering and Ontology Structuring.
.- Applying the Temporal Fusion Transformer Model in Stock Price Forecasting: The Cases of VIC, VRE, and VHM.
.- A Dual-Stage AI Model for Personalized Major Advising.

AI in Health Care Analytics
.- SAM Meets U²-Net: Minimal-Supervision Skin Lesion Segmentation.
.- Retrospective Contribution Analysis of Intrinsic 3D Breast Features for Esthetic Outcome Evaluation of Breast Reconstruction Surgery.
.- Gestational Diabetes Prediction using Classification Methods.
.- GeKAN: Enhancing High-Dimensional Gene Expression Classification with Feature-Selected Kolmogorov-Arnold Networks.
.- Fuzzy-EDTrans: A Fuzzy Ensemble Learning Approach for Brain Tumor Classification.
.- A Machine Learning-Based Tool for Autism Screening Using Psychological Medical Records.
.- A Deep Learning Framework with Squeeze-and-Excitation Attention for Guava Disease Classification.

Big Data, IoT, and Cloud Computing
.- Towards End-to-End Traffic Congestion Estimation Using Learned ROI and Vehicle Object Dynamics.
.- Simultaneous Low-light Image Enhancement and Deblurring for Surveillance Systems using Intelligent Cameras.
.- Design of a Solar-Powered AIoT System for Safety Corridor Violation Detection in High-Voltage Power Transmission Networks.
.- A Real-time Adaptive Traffic Signal Control Framework Using Graph Neural Networks and Multi-Agent Reinforcement Learning with Crowdsourced Event Integration.

Intelligent Systems
.- Towards Local Learning Algorithm on Apache Spark for Large Datasets.
.- PM2.5 prediction model using CNN with Depthwise Separable Convolution and Bi-LSTM.
.- Improving Data Quality Post-Anonymization in K-Anonymity Models Using a Hybrid Artificial Rabbit and Arctic Puffin Optimization.
.- FMN-OE: Evaluation And Elimination Of Hyperbox Overlap.
.- Enhancing Cryptocurrency Forecasting Using Temporal Features On High-Frequency Data.
.- Edge-Optimized CNN Accelerator: A Flexible and Lightweight Architecture.
.- DWACE: Enhancing Graph Clustering via Autoencoder and Contrastive Learning Refinement of DeepWalk Embeddings.
.- Defective and Non-defective Printed Lot Information Classification based on Optical Character Recognition.
.- A Method for Enhancing Images Quality based on Machine Learning.

Natural Language Processing
.- Vietnamese Certificate Analysis: Addressing Hybrid Document Challenges through Multimodal Layout-Text Fusion.
.- Reflective Thought and Code for Solving Numerical Problems with Large Language Models.
.- RCM-MSA: Robust Contextual Modeling for Multi-modal Sentiment Analysis Using Transformer and Attention Mechanism.
.- Integrating Information Retrieval and LLMs: A Document Retrieval Chatbot in Education Settings.
.- GraphBeam Retriever: A Lightweight Framework for Evidence Selection in Vietnamese Fact Verification.
.- Benchmarking Conventional, Deep, and Large Language Models on Vietnamese Clickbait Detection.