Abstracts of the graduate colloquium

 

E-mail : gcchair@icarc.sab.ac.lk Cover design by : Mr. JGPN Ranasinghe Compile by : Ms. KT Dananjali Published by Faculty of Computing, Sabaragamuwa University of Sri Lanka, P.O. Box 02, Belihuloya, 70140, Sri Lanka.

News

Disclaimer: The materials in this publication have been supplied by authors, and the views expressed remain the responsibility of the named authors. The statements and opinions stated in this publication do not necessarily represent the views of the Faculty of Computing. No responsibility is accepted by the Faculty of Computing for the accuracy of information contained in the text and illustrations.

Copyright and reprint permissions: Copyright © 2025. Faculty of Computing, Sabaragamuwa University of Sri Lanka, Sri Lanka. All rights reserved according to the Code of Intellectual Property Act of Sri Lanka, 2003. No part of this publication may be reproduced, stored, transmitted, or disseminated, for educational or other noncommercial purposes in any form, or by any means without prior written permission from Faculty of Computing provided the source is fully acknowledged. Reproduction of this publication for resale or other commercial purposes is prohibited without prior written permission from Faculty of Computing. CC-BY-ND-NC

Collections in this community

Recent Submissions

  • Title page 
    Unknown author (Faculty of Computing, Sabaragamuwa University of Sri Lanka, P.O. Box 02, Belihuloya, 70140, Sri Lanka., 2025-02-19)
  • Front materials 
    Unknown author (Faculty of Computing, Sabaragamuwa University of Sri Lanka, P.O. Box 02, Belihuloya, 70140, Sri Lanka., 2025-02-19)
  • A Comparative Analysis of Deep Learning Algorithms for Formality Classification in Texts Using Linguistic Features 
    Karunarathna, K.M.G.S.; Rupasingha, R.A.H.M.; Kumara, B.T.G.S. (Faculty of Computing, Sabaragamuwa University of Sri Lanka, P.O. Box 02, Belihuloya, 70140, Sri Lanka., 2025-02-19)
    Because of the wide variety of formal and informal writing styles brought about by the rapid growth of digital communication, the classification of documents based on it becomes a challenging task. Using a variety of ...
  • Towards Ethical Inference in Language Models: Integrating Religious Data and Enhancing Responsible LLM Development 
    Ranasinghe, K.S.; Paik, I. (Faculty of Computing, Sabaragamuwa University of Sri Lanka, P.O. Box 02, Belihuloya, 70140, Sri Lanka., 2025-02-19)
    Large Language Models (LLM) have emerged as the most powerful tools to perform various aspects in daily life. These models are capable of diverse tasks including text understanding and generating, image generation, ...
  • Advanced Hate Speech Detection in Social Media Content Using LSTM and CNN 
    Varatharaj, A.; Ahangama, S. (Faculty of Computing, Sabaragamuwa University of Sri Lanka, P.O. Box 02, Belihuloya, 70140, Sri Lanka., 2025-02-19)
    Hate speech is an offensive communication aimed at a certain group. It refers to online mass media in which people communicate information, ideas, messages, and other stuff. Social media platforms and online forums ...
  • Annotate Ease: PDF Metadata Extraction Application Specializing in Research Publications 
    Nivetha, K. K.; Priyasadini, Samanthi (Faculty of Computing, Sabaragamuwa University of Sri Lanka, P.O. Box 02, Belihuloya, 70140, Sri Lanka., 2025-02-19)
    Annotate Ease is an innovative software application designed to address the challenges of extracting metadata from research publications, predominantly in Portable Document Format (PDF). Utilizing advanced artificial ...
  • Analyzing Public Sentiment and Engagement Dynamics Across Global Protests 
    Nanayakkara, A.C. (Faculty of Computing, Sabaragamuwa University of Sri Lanka, P.O. Box 02, Belihuloya, 70140, Sri Lanka., 2025-02-19)
    This study explored the temporal dynamics, public engagement, and sentiment patterns on social media during three major global protests: The Black Lives Matter Movement (BLMM), the South African Unrest (SAU), and the ...
  • AI-Powered Automated Fashion Design System: Revolutionizing Creativity and Sustainability in Fashion 
    Srithar, K.; Priyasadini, Samanthi (Faculty of Computing, Sabaragamuwa University of Sri Lanka, P.O. Box 02, Belihuloya, 70140, Sri Lanka., 2025-02-19)
    The integration of Artificial Intelligence (AI) into the fashion industry is reshaping traditional design processes, addressing challenges such as high costs, inefficiency, and environmental impact. This research ...
  • Predicting the Severity of Liver Cirrhosis with Image Processing Based Machine Learning Models 
    Prabazhini, K.; Jayakody, J.A.U.S.; Sivatharshan, M. (Faculty of Computing, Sabaragamuwa University of Sri Lanka, P.O. Box 02, Belihuloya, 70140, Sri Lanka., 2025-02-19)
    Liver Cirrhosis (LC) is a significant global health concern characterized by a range of liver conditions resulting from chronic alcohol consumption. Over recent decades, LC has contributed to a significant increase in ...
  • Privacy-Protected Iris Recognition Using Block-Feature Fusion 
    Wickramaarachchi, W.A.W.U.; Zhao, D.; Zhou, J.; Xiang, J. (Faculty of Computing, Sabaragamuwa University of Sri Lanka, P.O. Box 02, Belihuloya, 70140, Sri Lanka., 2025-02-19)
    There is a strong correlation between individuals and their iris patterns and those patterns are unchanged throughout human life. Therefore, the iris biometric is regarded as a distinct, reliable biometric that can be ...
  • Machine Learning Approach to Predict University Students’ Not Completing Degree on the First Attempt based on Influential Factors 
    Kudagamage, U.P.; Karunanayaka, K.T. (Faculty of Computing, Sabaragamuwa University of Sri Lanka, P.O. Box 02, Belihuloya, 70140, Sri Lanka., 2025-02-19)
    There are various types of factors that influence the university students’ not completing the degree on the first attempt such as financial, health or stress, academic/institutional, social and personal, economical, ...