• An Ensemble Method for Fatigue Detection based on Multiple Facial Expressions 

  Venuja, N.; Nadarajah, S.; Thavayoganathan, A.; Senthooran, V. (Sabaragamuwa University of SriLanka, 2023)

  People who spend a lot of time staring at screens need to be aware of their own level of fatigue because it can lower productivity and increase the risk of accidents. In this research work, we suggest a novel method for ...
• Banana Classification using Deep Learning Techniques in the Sri Lankan Context 

  Kumara, D.; Sonali, H.G.M.; Lakmini, W.; Lakshan, R.M.M.; Mayumika, P.; Athukorala, A.; Fernando, W.S.S.D.; Nadarajah, S.; Suthaharan, S. S. (TASME 2025, 2025)

  Bananas are one of the most widely consumed fruits worldwide, and they come in various shapes, sizes, and colors. Bananas are one of the few tropical crops that have not been bred successfully, and all presently ...
• A Generative Adversarial Network and Feed-Forward Neural Network Approach to Predict Health of Electric Vehicle Lithium-Ion Batteries in Extreme Temperature 

  Pirunthavi, W.; Ray, B.; Jahan, H.; Emami, K.; Vithusha, B. (IEEE, 2025)

  he growing adoption of electric vehicles (EVs) has intensified the need for better battery management systems (BMS) to ensure the longevity, efficiency, and safety of lithium-ion batteries (LiBs). Temperature fluctuations ...
• Posture flow: A hybrid deep learning and OpenPose framework for yoga posture tracking with Ayurvedic alignment feedback 

  Nandasena, P.G.M.K.; Weerakkodi, Y.S.; Doshanthan, K.; Perera, K.D.N.N.; Perera, P.E.I.; Srimal, S.J.M.N.S.; Vithusha, B.; Venuja, N. (Sabaragamuwa University of Sri Lanka, 2025)

  Yoga provides an encompassing way to well-being, promoting body strength, mental health, emotional balance, and spiritual belief. However, traditional video tutorials or group classes often fail to provide individual ...
• Prediction of depression in social network posts using machine learning algorithms 

  Vithusha, B.; Akmal Jahan, M.A.C. (South Eastern University of Sri Lanka Oluvil, Sri Lanka, 2023)

  Depression is a serious mental disorder and its extreme or worst condition can lead to suicidal action. The number people who suffer from depression is drastically increasing day by day, particularly in teenagers who express ...
• HOG and Dimensional Feature based Vehicle Classification for Parking Slot Allocation 

  Akmal-Jahan, M.A.C.; Niranjana, J.; Vithusa, B.; Jumani, S.F.; Zulfa, R.F. (IEEE, 2021)

  The utilization of vehicles increases with the increased number of populations. Unplanned parking strategies causes additional traffic problems, waste of time, unwanted conflicts among drivers, damages etc. Vehicles need ...
• Effectiveness of 2D animated storytelling in drug awareness among upcountry Sri Lankan students 

  Ravichandran, R. (Centre for Gender Studies, University of Kelaniya, Sri Lanka, 2025)

  In upcountry Sri Lanka, a region where the infrastructure for health education is limited and adolescent drug use is a growing concern, traditional lecture-based drug awareness methods have not effectively engaged students ...
• Classification of Alzheimer’s Disease Stages using Weighted Brain Connectivity based Graph Convolutional Neural Network 

  Janany, S.; Logiraj, K.; Srivishagan, S.; Tuvensha, J.; Kokul, T.; Nagulan, R. (IEEE, 2025)

  Alzheimer’s disease (AD) is a progressive neurode-generative disorder that manifests in distinct stages, including cognitively normal (CN), mild cognitive impairment (MCI), and severe AD. An early and precise classification ...
• Functional Biomarkers of Alzheimer’s Disease: Explainable AI using Resting-State fMRI 

  Sivasothy, P.; Kumaralingam, L.; Tuvensha, J.; Srivishagan, S.; Thanikasalam, K.; Nagulan, R. (IEEE, 2025)

  Alzheimer’s disease (AD) is a progressive neurodegenerative disorder affecting millions worldwide, highlighting the urgent need for early and reliable diagnostic tools. Biomarkers, measurable indicators of disease presence ...
• Explainable Graph Attention Networks for Identifying Structural Brain Connectivity Changes Across Normal Aging 

  Vaitheeswaran, T.; Nagulan, R.; Srivishagan, S.; Pavithira, K.; Logiraj, I.; Hariharan, I.; Varatharasa, V. (IEEE, 2026)

  Normal brain aging refers to the gradual and natural changes in brain structure and function that occur as individuals grow older, in the absence of neurodegenerative diseases such as Alzheimer’s disease. Identifying ...
• Classification of Sri Lankan Skin Diseases Using Ensemble Deep Learning Models 

  Thapalingasivam, K.; Vinoharan, V.; Sivanesan, P. (IEEE, 2024)

  Skin disease detection is a critical component of dermatological healthcare, traditionally dependent on dermatologists’ expertise for accurate diagnosis. However, manual diagnosis can be time-consuming and prone to errors, ...
• Deep-Machine Learning Integration for Enhanced Pest Detection in Mangifera indica (Mango) 

  Sankeetha, V.; Vinoharan, A.; Vinoharan, V. (IEEE, 2026)

  Mango (Mangifera indica), the third most widely consumed fruit in Sri Lanka after banana and papaya, has experienced steady growth in cultivation and yield; however, pest and disease infestations still cause substantial ...
• Machine Learning for Effective Pest Detection in Mangifera indica (Mango) Crop Protection 

  Sankeetha, V.; Vinoharan, A.; Vinoharan, V. (IEEE, 2025)

  Mangifera indica, a key fruit crop in Sri Lanka, supports both agriculture and rural livelihoods but suffers significant losses from pest infestations. Early pest detection is crucial to reduce damage, yet manual inspection ...
• Adapting Prompt-Driven Approach for Diabetic Foot Ulcer Segmentation: A Sri Lankan Patient Study 

  Herath, W. R. G. A. D. P.; Vinoharan, V.; Kumaralingam, L.; Nagulan, R.; Bramya, S. (IEEE, 2024)

  Diabetes, a widespread metabolic disorder affecting millions globally, including many in Sri Lanka, often results in diabetic foot ulcers (DFUs). Accurate wound measurement is vital for diagnosing and monitoring DFUs, ...
• Sinhala-English Code-Mixed Corpus for Sentiment Analysis: Development and Baseline Evaluation 

  Perera, W.A.S.C.; Caldera, H.A. (IEEE, 2026)

  Language mixing and informal usage in code-mixed text make sentiment analysis a challenging task. Although a large number of linguistic resources are available for monolingual languages, lexicon and dataset resources are ...
• An Efficient Hybrid Model for Early Detection of Mango Leaf Pests 

  Sankeetha, V.; Agalya, V.; Vinoharan, V. (CSC-University of Jaffna, 2025)

  Mango is a vital cash crop widely cultivated across tropical and subtropical regions, including Sri Lanka, where it contributes significantly to agricultural income and rural livelihoods. However, mango cultivation is often ...
• Assessing Integration of Environmental Literacy Competencies in Sri Lankan Junior Secondary Science Syllabi: A Quantitative Content Analysis 

  Agalya, V.; Vinoharan, V. (Ministry of education, 2024)

  Sri Lanka, despite its extensive history of environmental policy and legislation, experiences significant environmental challenges as a developing nation due to rapid urbanization and population concentration in urban ...
• A Content Analysis of Textbook: Investigating the Environmental Literacy Skill in Sri Lankan Grade 6 Science Textbooks 

  Agalya, V.; Vinoharan, V. (Trincomalee Campus - Eastern University Sri Lanka, 2024)

  In Sri Lankan general education, textbooks play a pivotal role in the teaching-learning process. Grade 6 marks the commencement of science education as a distinct subject, introducing students to fundamental scientific ...
• Environmental Literacy of Junior Secondary Students in Sri Lanka 

  Vinoharan, A.; Vinoharan, V. (SLIIT, 2024)

  Human development without considering the impact on the environment has created numerous global issues, prompting policymakers to prioritise environmental protection. As environmental issues became pressing concerns, the ...
• Impact of Bilingual Education on General Certificate of Education (GCE), ordinary Level (O/L) English Results, Sri Lanka 

  Vinoharan, A.; Vinoharan, V. (University of Jaffna, 2024)

  Sri Lanka, despite its relatively high literacy rate compared to other South Asian nations, faces challenges in developing a workforce proficient in English, aligning with labor market demands. To address this, Bilingual ...

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