This book constitutes the refereed proceedings of the Third International Conference on Data Science and Artificial Intelligence, DSAI 2025, held in Peradeniya, Sri Lanka, during November 19-21,2025.

The 22 full papers and 4 invited talks were included in this book were carefully reviewed and selected from 92 submissions.They were organized in topical sections as follows: Large Language Models and Advanced NLP, Computer Vision and Deep Learning for Image/Video Analysis, Healthcare, Medicine, and Survival Analysis, Time Series Forecasting and Predictive Modeling, Explainable AI and Bias Detection, Optimization, Efficiency, and Edge Computing, Domain-Specific Applications and Case Studies.

Inhalt

.- Invited Talks.

.- Machine Learning in Bio-Medical Problems.

.- Towards Verifiable and Trustable AI from Multiple Perspectives.

.- When Data Meets Story: Human-Centered Pathways for AI and Machine Learning.

.- Beyond the hype: creating impact with AI.

.- Large Language Models and Advanced NLP.

.- Enhancing large language model collaboration using multi-agent framework with uncertainty quantification.

.- Introducing a Scale for AI's Artistic Autonomy.

.- Find a Contrary in Hotel Reviews Booking.com: A Corpus Creation for Contrary Mining Task of Assumption-based Argument Mining.

.- Steering LLMs Towards Safer Shores.

.- Computer Vision and Deep Learning for Image/Video Analysis.

.- Texture-Driven Siamese Networks with Vision Transformers for Offline Writer Verification.

.- Enhancing Sign Language Recognition with Video Swin Transformer and Keypoint-Based Frame Selection.

.- Advanced Data Preprocessing Pipeline for Pulmonary Embolism Detection: RSNA Challenge Dataset with Deep Learning-Based Lung Localization and Image Registration.

.- Healthcare, Medicine, and Survival Analysis.

.- A Comparative Study on the Use of the Machine Learning Models and Traditional Survival Models for the Analysis of Pediatric Acute Lymphocytic Leukemia Data.

.- Advanced Analysis On The Application Of Artificial Intelligence Via Machine Learning In Predicting Preterm Human Births.

.- Smart Diagnosis of Anemia Subtypes Using CBC and Deep Learning.

.- Predictive Modeling of ICU Mortality Using Supervised Machine Learning Algorithms.

.- Time Series Forecasting and Predictive Modeling.

.- Spatio-Temporal Patterns of Grave Crime in Sri Lanka: A Comprehensive Analysis.

.- Short-term Solar Irradiance Forecasting Using Machine Learning: A Comprehensive Study for Sri Lanka's Tropical Climate.

.- Deep Learning Models for Multimodal Demand Forecasting in Retail: A Comparative Case Study of Long Short-Term Memory and Temporal Fusion Transformers.

.- Explainable AI and Bias Detection.

.- Explainable AI for Chronic Kidney Disease Progression: Integrating Domain-Specific Cox Survival Analysis with Clinical Decision Thresholds.

.- Enhancing Isolation Forest with Rule Based Knowledge from Association Rule Mining.

.- Optimization, Efficiency, and Edge Computing.

.- Enhanced Adaptive Smell Agent Optimization: Leveraging Fusion Besiege Attack and Probabilistic Switching Mechanism for Constrained Optimization Tasks.

.- Decentor-V: Lightweight ML Training on Low-Power RISC-V Edge Devices.

.- Task-Specific Knowledge Distillation for Scalable Sentiment Classification in Low-Resource Settings.

.- Domain-Specific Applications and Case Studies.

.- Analyzing Online User Feedback on Digital Wallets & Buy-Now-Pay Later Services: Assessing Customer Sentiments of FinTech Solutions in Sri Lanka.

.- Cultural-Contextual Soulmate Prediction using a Multi Task Neural Network Approach for Sri Lankan Compatibility Modeling.

.- Extending a Geodatabase Framework for AI-Based Analysis of Digital Elevation Models to Support Earth Observation Applications.