Browsing Faculty Annual Research Session by Title

Browsing Faculty Annual Research Session by Title

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  • E-Document Classification Using Deep Learning 
    Wijesuriya, M.W.A.S.P.; Sakuntharaj, R. (Faculty of Technological Studies, University of Vavuniya, 2025)
    The proliferation of digital content in the form of electronic documents necessitates efficient classification methods to manage and analyze this growing body of information. This research explores the application of ...
  • THE EFFECT OF FEATURE SELECTION TECHNIQUES ON THE ACCURACY OF HEART DISEASE PREDICTION USING MACHINE LEARNING 
    Lojana, J. (Faculty of Technological Studies, University of Vavuniya, 2022-10-04)
    Artificial intelligence has recently had a significant impact, particularly on the healthcare sector. The use of machine learning has made it possible to predict a number of serious diseases that are now difficult to ...
  • Enhancing Flow Rule Eviction Policy in Software Defined Network 
    Vithuckshiha, P.; Shriparen, S. (Faculty of Technological Studies, University of Vavuniya, 2025)
    Traditional network architectures struggle under high-volume, real-time traffic. Software Defined Networking (SDN) separates control and data planes to enable centralized control, but switch flow-table capacity remains a ...
  • Explainable Machine Learning-Based Fake News Detection Using NLP Techniques 
    Nawodi, N.A.R.; Wijegunasinghe, U.S.; Lakshan, W.K.; Vithuckshiha, P. (Faculty of Technological Studies, University of Vavuniya, 2025)
    The rapid spread of misinformation on social media poses significant societal risks. This study develops an interpretable and accurate fake-news detection system that combines traditional supervised learning with Explainable ...
  • Exploring the Biometric Potential of Fingerprints for Blood Group Identification: A Survey 
    Weerasinghe, W.D.; Banu, N.F.N.; Sewmini, A.R.M.N.; Venuja, N.; Saliny, N. (Faculty of Technological Studies, University of Vavuniya, 2025)
    Successful identification of a blood type quickly and correctly is essential for patient centered care and emergency settings. Traditional methods could include technically invasive blood collection (e.g., fingerstick), ...
  • A Framework for Offline Screen Time Control Inchildren: Focus on TV, Gaming Behaviour Studies 
    Asana Sajahan, F. (Faculty of Technological Studies, University of Vavuniya, 2025)
    Effective management of children’s screen time has become a significant concern for parents, particularly working parents, as excessive exposure to digital devices can adversely affect children’s psychological and developmental ...
  • HANDWRITTEN CHARACTER RECOGNITION USING CONVOLUTIONAL NEURAL NETWORK IN THE CONTEXT OF TAMIL LANGUAGE 
    Mariyathas, Janotheepan (Faculty of Technological Studies, University of Vavuniya, 2022-10-04)
    English language is having a high impact on handwritten character recognition. It is a difficult task to generate a model for character recognition especially for south Asian languages while they are having curves and dots ...
  • Harvest Guardian: A Mobile Toolkit for AI-Based Crop Disease Diagnosis and Farmer Decision Support 
    Thivakaran, V.; Thisakaran, R. (Faculty of Technological Studies, University of Vavuniya, 2025)
    Agriculture in Sri Lanka is predominantly driven by smallholder farmers who face challenges in timely disease detection, access to localized expert advice, and planning around weather conditions. These issues contribute ...
  • HYPER PARAMETER TUNED ENSEMBLE APPROACH FOR HEART DISEASE PREDICTION 
    Premananthan, P.; Prasanth, S.; Mauran, K. (Faculty of Technological Studies, University of Vavuniya, 2022-10-04)
    Heart disease is the one of the leading causes of death globally. Despite the fact that the causes of heart disease varied from nation to nation. However, the risk variables would be practically the same. Heart disease ...
  • IDENTIFICATION OF EXTENSION NEEDS IN TEA PROCESSING: CASE OF LOW COUNTRY TEA FACTORIES 
    Samaraweera, M.K.; Wijeratne, M. (Faculty of Technological Studies, University of Vavuniya, 2022-10-04)
    Sri Lankan tea industry plays a major role in the Sri Lankan economy being one of the important sectors as a foreign exchange earner (SLRs. 240.6 billion in 2019) while providing employment opportunities for 400,000 families. ...
  • Image-Based Recognition for Sri Lankan Traffic Signs 
    Dhilakshan, T.; Disne, K.; Thadchanamoorthy, S. (Faculty of Technological Studies, University of Vavuniya, 2025)
    This research describes the development of an image-based traffic sign recognition system specifically designed for Sri Lankan road environments. The objective is to enhance road safety by accurately identifying local ...
  • Intelligent Handwriting Recognition for Preschool Children Using Convolutional Neural Networks (CNNs) 
    Abirami, S.; Jayarathna, J.H.S.S.M.; Abeysinghe, A.K.U.S.; Sakuntharaj, R. (Faculty of Technological Studies, University of Vavuniya, 2025)
    This study addresses the challenge of recognizing handwritten numbers and alphabetic letters produced by preschool children. At this developmental stage, handwriting is often irregular, unstructured, and inconsistent in ...
  • INTERACTIVE WEB-BASED PLATFORM TO BOOST THE AGRICULTURAL SECTOR IN SRI LANKA 
    Sooriyakumar, K.; Priyashantha, A.K. H.; Pratheesh, N. (Faculty of Technological Studies, University of Vavuniya, 2022-10-04)
    The agriculture sector plays a vital role in Sri Lanka’s economy. Interestingly, more than 30% of Sri Lankans are involved in the agricultural sector. The vegetable sector is the second most important sub-sector of island’s ...
  • IoT-Enabled Face Recognition Attendance Systems for University Students in Sri Lanka 
    Jayathilaka, V.A.N.T.; Ravichandran, R. (Faculty of Technological Studies, University of Vavuniya, 2025)
    This study presents a comprehensive face recognition attendance system designed for educational institutions in Sri Lanka. The system leverages Insight Face's buffalo l model as the primary recognition engine, achieving ...
  • LOSSY IMAGE COMPRESSION USING FREEMAN CHAIN CODE REPRESENTATION 
    Somasundaram, S.; Niranjan, V.; Pujinthan, S. (Faculty of Technological Studies, University of Vavuniya, 2022-10-04)
    In this study, we suggested an algorithm that made use of a Freeman chain code-based compression technique. The method consists of two segments such as compression and decompression. The first is a compression algorithm ...
  • Multi-Disease Detection in Paddy and Jackfruit Plants Using Image Processing Techniques 
    Liyanwala, D.K.G; Jayasundara, T.N.; Amarasinghe, P.Y.; Sakuntharaj, R. (Faculty of Technological Studies, University of Vavuniya, 2025)
    Plant diseases pose a major threat to agricultural productivity, particularly in staple crops such as paddy and fruit crops like jackfruit. Early and accurate disease detection is critical for ensuring food security and ...
  • A Multi-Network Blockchain Framework for Rapid Fund Protection and Transaction Data Analysis in Compromised CryptocurrencyWallets 
    Jayakodi, M.M.H.M.; Thilakarathna, M.P.S.K.N.; Nufla, G.F. (Faculty of Technology Studies University of Vavuniya, 2025)
    Cryptocurrency wallet security is vital, with private key compromises causing $2.2 billion in losses in 2024 (Chainalysis, 2024). This research introduces a multi-network blockchain framework to safeguard funds in ...
  • Multi-Parameter Approach to Performance optimization in Software Defined Networking 
    Fathima Masma, S.; Suthaharan, S.S. (Faculty of Technological Studies, University of Vavuniya, 2025)
    Software Defined Networking (SDN) represents a transformative shift in network design, where network control and configuration are managed centrally through software based applications rather than being distributed across ...
  • 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 ...

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