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Faculty of Technological Studies: Recent submissions

  • 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 ...
  • 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 ...
  • Deep Learning-Based Plant Identification in Sri Lanka 
    Chayanthithan, C.; Rajagopal; Bandara, P.R.D.N.; Farhana, M.F.F.; Dharmasiri, T.N.; Bandara, U.M.J.M.; Jayasekara, J.M.T.N.; Saliny, N.; Nirosi, P. (Faculty of Technological Studies, University of Vavuniya, 2025)
    Sri Lanka is home to a diverse range of plant species, many of which play critical roles in agriculture, biodiversity conservation, and ecological balance. Traditional methods of plant identification are often manual, ...
  • 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 ...
  • 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 ...
  • Carbon Sequestration Estimation in Paddy Fields Using Synthetic Aperture Radar (SAR) Data in Sri Lanka 
    Uthayadharshini, S.; Gajanthan, S.; Madhushani, S.I.S. (Faculty of Technological Studies, University of Vavuniya, 2025)
    Soil organic carbon (SOC) is essential for keeping soil healthy, improving crop growth, and tackling climate change. In rice-growing areas such as those in Sri Lanka, knowing how SOC is distributed helps farmers adopt ...
  • 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 ...
  • 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), ...
  • 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 ...
  • AI-Powered Attendance System Using or Codes and Facial Recognition 
    Adikaram, K.K.J.K.B.; Mohomed Wazeem, S.K.; Ranaweera, S.D.; Sakuntharaj, R. (Faculty of Technological Studies, University of Vavuniya, 2025)
    This research introduces a Safe and Smart Dual Authentication Student Attendance System using Facial Recognition and QR Code verification to eliminate proxy attendance and enhance operational efficiency in academic ...
  • Agro Guard: A Smart IoT and Machine Learning-Based Assistant for Climate-Resilient Precision Agriculture 
    Libisanan, J.A.; Thisakaran, R. (Faculty of Technological Studies, University of Vavuniya, 2025)
    Agriculture plays a vital role in ensuring global food security amid growing population pressures. However, climate change, soil degradation, and natural disasters such as floods pose serious challenges to maintaining soil ...
  • Deep Learning-Based Detection of Deficiencies and Leaf Diseases in Chili Plants Using Image Processing 
    Kavindu Rashmika, W.A.D.; Semasinghe, T.M.N.M.; Vithanage, M.V.S.C.; Sakuntharaj, R. (Faculty of Technological Studies, University of Vavuniya, 2025)
    Early detection of nutrient deficiencies and foliar diseases is essential to improve chili productivity, especially in rural communities where traditional testing is expensive and inaccessible. This study developed a deep ...
  • Advancing Network Intrusion Analysis: A Hybrid Approach from Detection to Classification 
    Vithusha, B.; Sankeetha, V.; Abiramithan, T.; Lojenaa, N. (Faculty of Technological Studies, University of Vavuniya, 2025)
    Effective network security requires both accurate detection of anomalies and meaningful classification of detected threats. While supervised machine learning models are proficient in identifying anomalous traffic, categorizing ...
  • Automated Student Attendance Management Using Real-Time Face Recognition 
    Kavindya, S.A.S.; Thisakaran, R. (Faculty of Technological Studies, University of Vavuniya, 2025)
    This paper presents a facial recognition-based student attendance management system aimed at automating and improving accuracy for students attending extra classes. Traditional manual attendance methods are time-consuming ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Designing a Socio-Technologically Adaptable, Scalable Peer-to-Peer Accommodation Platform to Support SMEs in Sri Lanka After the Crisis 
    Rajapaksha, R.W.V.A.S.C.; Ranasooriya, U.E. (Faculty of Technological Studies, University of Vavuniya, 2025)
    The tourism industry is a globally significant sector that contributes substantially to economic growth. However, small and medium-sized enterprises (SMEs) in the tourism\sector face challenges in accessing global digital ...
  • 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 ...
  • 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 ...

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