Browsing Faculty Annual Research Session by Title

Browsing Faculty Annual Research Session by Title

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  • Personalized Music Recommendation via Predictive Emotional Modeling for Individuals with Depression 
    Warakagoda, R.N.A.M.M.K.; Jayasinghe, J.K.C.S.; Kavishka, W.P.G.; Sakuntharaj (Faculty of Technological Studies, University of Vavuniya, 2025)
    According to the World Health Organization, more than 280 million people worldwide suffer from depression, underscoring the urgent need for accessible and effective support solutions. This study presents an AI-driven ...
  • Posture Flow: Extending Yoga Posture Tracking Using Artificial Intelligence and Ayurvedic Insights 
    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.; Sankeetha, V.; Venuja, N. (Faculty of Technological Studies, University of Vavuniya, 2025)
    Yoga offers profound benefits for physical, mental, and spiritual well-being, yet incorrect posture execution can cause injuries and diminish therapeutic value. To address this, we introduce Posture Flow, an Artificial ...
  • QUALITY PREDICTION OF WATERMELON USING RANKING FEATURE SELECTION METHODS AND MACHINE LEARNING ALGORITHMS 
    Pirunthavi, W.; Sharnitha, T.; Mayuran, P. (Faculty of Technological Studies, University of Vavuniya, 2022-10-04)
    This study was performed on the aim of detecting the quality of the watermelon with eight features; sound, color, root, belly button, texture, sugar rate, density, and touch which were obtained from the Kaggle website. Two ...
  • Real-Time Cattle Monitoring Using Low-Cost IoT Smart Collars with Lora Communication in Sri Lanka’s Dry Zones 
    Udapola, W.A.K.B.; Ravichandran, R.; Imalka Randev, K.T.; Shashika Theekshana, V.P.; Roshan, S.; Nanduni Sanjana Wanniarachchi, D.; Yohan Shanuka, J.A.D.; Silva, K.C.N.A.; Bandara, S.M.S.G.T.L. (Faculty of Technological Studies, University of Vavuniya, 2025)
    Effective free-range cattle management remains a critical challenge for smallholder farmers in the rural and dry zones of Sri Lanka due to crop damage, theft, and accidents caused by uncontrolled livestock roaming. This ...
  • Real-Time Elephant Movement Detection for Human Safety: An IoT-Integrated Smart Fence Approach 
    Budhdhika, W.G.T.M.; Pathiraja, S.P.M.C.P.; Kalubowila, K.D.K.A.; Vinoharan, V. (Faculty of Technological Studies, University of Vavuniya, 2025)
    The escalating Human-Elephant Conflict (HEC) in Sri Lanka has necessitated a transition from conventional mitigation methods to more sustainable and humane solutions. This study presents an Internet of Things (IoT)-based ...
  • A REVIEW ON ASSESSING STRESS METHODS USING MACHINE LEARNING AND WEARABLE SENSORS 
    Kasuni Piyumika, Y.A. (Faculty of Technological Studies, University of Vavuniya, 2022-10-04)
    Stress is one kind of response to pressure. It can be good according to the situation. Stress management is a very important criterion now because it keeps up one’s stress level low, and health at risk. There can have ...
  • SECURE LIGHTWEIGHT NFV ARCHITECTURE ANALYSIS FOR IOT EDGE COMPUTING 
    Raveenthiran, S. (Faculty of Technological Studies, University of Vavuniya, 2022-10-04)
    The IoT is a massive trend within an industry. Its exponential expansion in cloud computing creates new problems. NFV has solutions enabling service providers to scale the networks, integrate intelligence into those networks, ...
  • Sense Step: An Innovative Smart Cane for Visually Impaired Individuals 
    Tharsayani, M.; Thisakaran, R. (Faculty of Technological Studies, University of Vavuniya, 2025)
    Sense Step is an innovative smart cane designed to empower visually impaired individuals through advanced assistive technology. Traditional mobility aids lack critical features to ensure user safety and independence, leaving ...
  • Sinhala Sentiment Analysis Using Comments Review 
    Mohamed, M.U.R.; Bandara, S.M.N.D.; Lakmal, A.G.; Perera, W.A.S.C. (Faculty of Technological Studies, University of Vavuniya, 2025)
    Sinhala remains underrepresented in Natural Language Processing research, even though it is the primary language of more than 16 million people in Sri Lanka. To extract public opinion from the increasing amount of Sinhala ...
  • Smart Crop Recommendation System Using Machine Learning Models 
    Senevinayaka, R.K.S.D.C.; Amarakoon, B.M.P.P.; Tuvensha, J. (Faculty of Technological Studies, University of Vavuniya, 2025)
    Crop recommendation systems have become essential tools in modern agriculture, assisting farmers in selecting the most suitable crops based on a combination of environmental and soil factors to optimize yield and resource ...
  • Tomato Leaf Disease Classification Using Deep Learning Techniques 
    Prabhasha, S.M.U.N.; Wijesinghe, W.P.D.J.N.; Jayasinghe, B.N.D.; Tuvensha, J. (Faculty of Technological Studies, University of Vavuniya, 2025)
    Tomato leaf diseases pose a significant threat to crop yield and quality, necessitating accurate and timely detection methods. This study focuses on developing an automated tomato leaf disease classification system using ...
  • Underwater Rover using IoT to Track Objects and Organisms under the Water 
    Thivaharan, S.; Suparoopan, S.; Gopy Prasath, S.; Sanoj, S.; Dinojen, T.; Amrithaa, P.; Lojenaa, N.; Kartheeswaran, T. (Faculty of Technological Studies, University of Vavuniya, 2022-10-04)
    Since the underwater world is so complicated, monitoring the underwater has always been challenging. A successful underwater robotic technology could aid the discovery of many hidden insights. This may also facilitate the ...
  • University Student Performance Prediction Based on Student’s Habits Using Machine Learning Techniques 
    Lakmal, E.D.S.A.; Mihiran, R.I.B.N.; Wanninayaka, W.M.S.A.B. (Faculty of Technological Studies, University of Vavuniya, 2025)
    Student academic prediction has been the subject of growing research in higher education as a way of predicting students who are at risk and intervening to help them. Universities are constantly searching for evidence based ...

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