• Front Materials 

  Unknown author (Faculty of Computing, Sabaragamuwa University of Sri Lanka, 2025-02-19)
• Artificial Intelligence Adoption in the Apparel Supply Chain in Sri Lanka: Strategies for Small and Medium-sized Enterprises 

  Prabodhani, L.H.K.N.; Wijerathna, R.M.K.K.; Lekamge, L.S. (Faculty of Computing, Sabaragamuwa University of Sri Lanka, 2025-02-19)

  Artificial Intelligence (AI) is rapidly transforming supply chain operations across industries, driving efficiency, cost reduction, and sustainability improvements. In Sri Lanka, large-scale apparel companies have successfully ...
• Usage of Digital Twin Technology for Sustainable Development in Sri Lanka’s Construction Sector 

  Geekiyanage, C.L.; Wijerathna, R.M.K.K.; Lekamge, L.S. (Faculty of Computing, Sabaragamuwa University of Sri Lanka, 2025-02-19)

  Digital Twin (DT) technology is transforming the global construction industry, offering real-time monitoring, better decision-making, and enhanced project outcomes. However, DT is primarily used in the design and planning ...
• Enhancing User Engagement in Website Hero Sections: A Comparative Analysis of 2D and 3D Graphics Using Kansei Engineering 

  Sandaruwan R.M.T., Somaweera W.T.S. (Faculty of Computing, Sabaragamuwa University of Sri Lanka, 2025-02-19)

  Hero sections are a critical component of websites responsible for capturing user attention and shaping overall engagement. Despite the increasing adoption of advanced graphics in web design, the effectiveness of two-dimensional ...
• Deep Learning Approach for Classifying AI-generated and Human-written Sinhala Answers 

  Ranathunga, R.A.D.K; Rupasingha, R.A.H.M.; Kumara, B.T.G.S. (Faculty of Computing, Sabaragamuwa University of Sri Lanka, 2025-02-19)

  With increased use of AI on answering academic questions, a real concern arises on cases of cheating especially where languages such as Sinhala are hardly supported by effective detection systems. As a result, it becomes ...
• Influence of Demographic Factors on Emotion-Driven User-Centered Design in Mobile Applications 

  Dias, J.B.R.N.; Lekamge, L.S; Kaushalya, P.K.D.K. (Faculty of Computing, Sabaragamuwa University of Sri Lanka, 2025-02-19)

  This study explores the impact of demographic characteristics including age, gender and culture on affective user centered design of mobile applications. Emotion-based design seeks to elicit a particular emotion so as to ...
• Consumer Preferences of Gamification Elements in Sri Lankan E-Commerce Websites: A Study of Preferences and Effectiveness 

  Duleesha, G.R.; Kaushalya, P.K.D.K.; Lekamge, L.S. (Faculty of Computing, Sabaragamuwa University of Sri Lanka, 2025-02-19)

  Gamification has become a tool used by most e-commerce websites to enhance engagement, motivation, and satisfaction through game techniques, such as Points Systems, Badges/Achievements, Leaderboards, Spin the Wheel, ...
• Image-Based Skin Cancer Detection Using Machine Learning with Ayurvedic Treatment Recommendations 

  Abeygunawardhana, D.K.; Lekamge, L.S.; Wijerathna, R.M.K.K. (Faculty of Computing, Sabaragamuwa University of Sri Lanka, 2025-02-19)

  Early diagnosis and accurate identification of skin cancer together with dermatological diseases represent major worldwide health issues that require precise medical assessment for proper therapeutic interventions. A ...
• Analyzing the Impact of Audio Features on Popularity in Global Music Consumption using Machine Learning: A Spotify Case Study 

  Wanniarachchi, W.A.S.Y; Nirubikaa, R (Faculty of Computing, Sabaragamuwa University of Sri Lanka, 2025-02-19)

  The rapid growth of music streaming platforms such as Spotify has transformed how the audience consume music globally. This research analyses the influence of audio features on the song popularity in global music consumption ...
• Exploring the Correlation Between Social Media Activity & Anxiety Levels Among Students: A case study for undergraduates in Sabaragamuwa University of Sri Lanka 

  Udeshika, P.K.M.; Erandi, J.D.T. (Faculty of Computing, Sabaragamuwa University of Sri Lanka, 2025-02-19)

  Social media use by university students raises concerns about mental health, particularly anxiety. While few studies in South Asia address this issue comprehensively, behavioral aspects are often neglected. This study ...
• Identification of the Factors Affected to User Satisfaction in Sri Lankan E-commerce Websites 

  Ananda, K.V.A.I.; Chathumini, K.G.L.; Erandi, J.D.T. (Faculty of Computing, Sabaragamuwa University of Sri Lanka, 2025-02-19)

  The rapid expansion of e-commerce in Sri Lanka has transformed consumer behavior, yet many local platforms struggle to meet user expectations. Understanding the key factors influencing user satisfaction is crucial for ...
• Enhancing Financial Retrieval Augmented Generation with Knowledge Graphs for Better Contextual Insights 

  Ranasinghe, R.M.H.K.; Herath, G.A.C.A.; Kumara, B.T.G.S. (Faculty of Computing, Sabaragamuwa University of Sri Lanka, 2025-02-19)

  In today’s rapidly evolving financial domain, effective information retrieval and analysis are crucial for making well-informed decisions. This study focuses on constructing a domain-specific knowledge graph (KG) tailored ...
• Integrating Federated Learning with Blockchain for Secure and Efficient Vehicle-to-Vehicle (V2V) Communication 

  Kumara, A.V.A.N. P.; Vigneshwaran, P.; Jayasena, K.P.N. (Faculty of Computing, Sabaragamuwa University of Sri Lanka, 2025-02-19)

  The future of autonomous vehicles depends on secure, efficient, and trustworthy Vehicle-to-Vehicle (V2V) communication systems. Traditional centralized architectures face critical limitations, including cybersecurity risks, ...
• Prediction of Sprint Delivery Capability in Agile Software Development Using Machine Learning 

  Lorshan, N.; Wijerathna, P.M.A.K.; Kumara, B.T.G.S. (Faculty of Computing, Sabaragamuwa University of Sri Lanka, 2025-02-19)

  Scrum plays the dominant framework in agile software development. It delivers the project in an iterative and incremental manner under main concept called sprint. Tracking whether a sprint is capable of delivering its ...
• Evaluating Cost-Effective Consensus Algorithms to Enhance Blockchain Scalability in Low-Resource Education Systems 

  Udeshika, W.A.; Wasalthilaka, W.V.S.K. (Faculty of Computing, Sabaragamuwa University of Sri Lanka, 2025-02-19)

  The issues such as the fake credentials, delays in verification, and vulnerable centralized data have increased the demand for a safe and tamper-proof academic credentialing system. Blockchain is a great solution, but ...
• Machine learning based detection of software vulnerabilities in C code 

  Junoj, S.; Wijeratne, P.M.A.K.; Kumara, B.T.G.S. (Faculty of Computing, Sabaragamuwa University of Sri Lanka, 2025-02-19)

  Software security vulnerability detection is an integral part of creating secure and reliable software. C programming is used extensively in system-level and embedded applications for efficiency and direct control over ...
• Enhancing Software Quality through Comparative Analysis of Machine Learning Techniques for Test Case Prioritization using Object-Oriented Metrics 

  Kumari, M.K.M.N.; Wasalthilaka, W.V.S.K (Faculty of Computing, Sabaragamuwa University of Sri Lanka, 2025-02-19)

  Software quality plays an important role in software engineering by maintaining system reliability and ensuring efficiency. Achieving high-quality software mainly depends on software testing. Regression testing is important ...
• Classifying Code Quality in Java Open Source Software Projects using Machine Learning and Contribution Metrics. 

  Welagedara, H.T; Wasalthilaka, W.V.S.K. (Faculty of Computing, Sabaragamuwa University of Sri Lanka, 2025-02-19)

  Geographically dispersed volunteer teams can achieve collaborative and transparent processes with Open-Source Software Development (OSSD). While it outperforms traditional methodologies, challenges remain in preserving ...
• Emotion Driven Prediction of Conversational Thread Depth 

  Kumara, H.K.M.H.V.; Weerakkodi, S.; Kumara, B.T.G.S. (Faculty of Computing, Sabaragamuwa University of Sri Lanka, 2025-02-19)

  While chatbots have become enhanced in human-computer interaction, they hardly provide quality and interesting interactions. This study emphasizes on conversational thread depth prediction, which quantifies the ability of ...
• Software Defect Prediction in Agile Environments using Deep Learning 

  Pathirana, P.U.N.; Wasalthilaka, W.V.S.K. (Faculty of Computing, Sabaragamuwa University of Sri Lanka, 2025-02-19)

  Software defect prediction is a critical part of development, identifying mismatches between expected and actual outcomes as detected by developers or end users. The main purpose of agile defect prediction is identifying ...

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