Data Science and Artificial Intelligence: Third International Conference, DSAI 2025, Peradeniya, Sri Lanka, November 19–21, 2025, Proceedings(2726 Communications in Computer and Information Science)

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.

Table of Contents:
.- 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.