• Predictive modeling for injury risk and performance analysis in collegiate and female basketball players 

  Dilakshigan, A.; Erandi, J.D.T; Chandana, A.W.S. (Faculty of Computing. Sabaragamuwa University of Sri Lanka., 2026-01-28)

  This paper examines a machine-learning model of injury prediction and performance assessment on female and collegiate-level basketball players through interpretable workload-based models. The dataset was gathered among ...
• Data-driven prediction of university admission cutoff marks in Sri Lanka using machine learning 

  Theeksha, J.R.N.; Kudagamage, U.P. (Faculty of Computing. Sabaragamuwa University of Sri Lanka., 2026-01-28)

  Admissions into universities in Sri Lanka are determined through the cutoff marks published annually in the University Grants Commission (UGC), although the procedure itself is not only unclear but opaque to students as ...
• AI-powered predictive modeling and comparative machine learning analysis for improving hospital operational efficiency 

  Rathnaweera, R.C.L.U.; Somaweera, W.T.S.; Sandaruwan, R.M.T. (Faculty of Computing. Sabaragamuwa University of Sri Lanka., 2026-01-28)

  The study addresses the critical problem that Sri Lankan state-run hospitals have no data-driven predictive tools of patient movement and resource allocation that have led to longer patients waiting and poor bed utilization. ...
• A machine learning-based evaluation of English-to-Sinhala translation: comparing Google Translate, large language models, and human translators 

  Jayathilaka, K.M.D.P.S.D.; Rubasinghe, T.D.; Kumara, B.T.G.S. (Faculty of Computing. Sabaragamuwa University of Sri Lanka., 2026-01-28)

  Reliable translation from English to Sinhala is still a great challenge for many sophisticated translation systems using Sinhala as a low-resource language. Although Google Translate is widely used for translationpurposes, ...
• A Multi-Dimensional Analysis of Infrastructure Considerations in Industrial Facility Placement Using Machine Learning 

  Dilanka, M.R.; Wasalthilaka, W.V.S.K. (Faculty of Computing. Sabaragamuwa University of Sri Lanka., 2026-01-28)

  Increasingly complex global economies are making the process of choosing factory locations much more difficult for policymakers and investors. In their traditional form, assessments of factory site locations no longer ...
• Hybrid Approach for Automated University Academic Timetable using Graph Coloring Techniques and Linear Programming Mathematical Resource Optimization Model 

  Gnanarathne, S.D.D.S; Kumara, P.G.P. (Faculty of Computing. Sabaragamuwa University of Sri Lanka., 2026-01-28)

  University course timetabling is a complex optimization problem that must satisfy multiple hard and soft constraints. These include avoiding clashes among courses and lecturers, allocating limited classroom and laboratory ...
• An innovative heuristic algorithm for multi-objective transportation problems using improved ant colony algorithm 

  Premathilaka, M.H.H.D.N.; Ekanayake, E.M.U.S.B. (Faculty of Computing. Sabaragamuwa University of Sri Lanka., 2026-01-28)

  The transportation problem is a well-known optimization challenge that aims at minimizing the total costs for distributing resources from different sources to numerous destinations. In complicated logistical situations, ...
• Five-color incidence coloring of the recursive modified claw graph 

  Rodrigo, P.G.N.; Perera, A.A.I; Mohommad, M.A.M. (Faculty of Computing. Sabaragamuwa University of Sri Lanka., 2026-01-28)

  Graph theory is a branch of mathematics that studies how objects are connected using vertices and edges. An important concept within this field is incidence coloring, where colors are assigned to vertex edge pairs, called ...
• An automated approach for selecting the most suitable AWS EC2 instance for software projects prior to deployment 

  Kumarage, K.S.D.; Lakshan, W.D.D.; Hewaratna, A.I. (Faculty of Computing. Sabaragamuwa University of Sri Lanka., 2026-01-28)

  Cloud computing is now a staple of a modern software development with provisioning of scalable and on-demand resources. Amazon Web Services (AWS), the cloud services leader, offers great variety of types of the Elastic ...
• Developing a privacy-preserving federated learning framework for intrusion detection in IoT networks using ethical hacking simulations 

  Raaziya, M.Z.H.F.; Abeythunga, W.M.L.S. (Faculty of Computing. Sabaragamuwa University of Sri Lanka., 2026-01-28)

  The Internet of Things has transformed modern systems by integrating artificial intelligence, cybersecurity, and real-time analytics into billions of interconnected devices. However, decentralization and resource constrained ...
• 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 ...

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