Data Science and Artificial Intelligence (eBook, PDF)

Third International Conference, DSAI 2025, Peradeniya, Sri Lanka, November 19-21, 2025, Proceedings
Redaktion: Anutariya, Chutiporn; Usoof, Hakim; Pinidiyaarachchi, Amalka; Bonsangue, Marcello

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 332
• Erscheinungstermin: 10. November 2025
• Englisch
• ISBN-13: 9789819544097
• Artikelnr.: 75857903

Inhaltsangabe

.- 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.