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Digital Research Repository: Recent submissions

  • Comparative Analysis of Machine Learning Models for Brown Spot Disease Detection in Rice Leaves 
    Kulaksiga, J.; Thisakaran, R. (Faculty of Technological Studies, University of Vavuniya, 2025)
    Rice is a vital crop that feeds more than half of the world’s population, but its productivity is seriously threatened by diseases like Brown Spot, caused by the fungus Bipolaris oryzae. While many studies have shown that ...
  • A Cloud-Integrated IOT-Based Anti-Theft System for Home Using Image Processing 
    Tharsan, S.; Nusky Ahamed, T. (Faculty of Technological Studies, University of Vavuniya, 2025)
    Home security has become a major concern due to the rise in burglary and unauthorized access incidents. This study proposes a cloud-integrated IoT-based anti-theft system using real-time facial recognition to enhance ...
  • Leveraging Agile Methodology on Mitigation of Management Failures in Sri Lankan Software Development Projects 
    Ranush Dilshan, A.O.M.; Thirugnanasampanthar, S. (Department of Project Management, Faculty of Business Studies, University of Vavuniya, 2025)
    The software development industry in Sri Lanka, a key driver of economic growth, faces significant challenges due to recurring management failures that lead to project delays, budget overruns, and compromised quality. ...
  • 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 ...
  • 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 ...
  • Audio Deepfake Detection Methods: A Review 
    Janani, W.V.M.; Nissanka, N.B.A.S.C.; Thisaravi, K.G.A. (Faculty of Technological Studies, University of Vavuniya, 2025)
    The emergence of audio deepfake technologies has raised new concerns in the area of digital security, privacy, and trust in media. Audio deepfakes are AI-generated synthetic audio clips that are capable of accurately ...
  • Development of a Voice-Controlled Front-End User Interface Using AI-Based Command Recognition 
    Rakshika, U.; Thisakaran, R. (Faculty of Technological Studies, University of Vavuniya, 2025)
    Artificial Intelligence (AI) innovations have revolutionized digital interactions, enhancing accessibility and usability in modern web applications. This project presents a voice-controlled front-end user interface (UI) ...
  • Comparison Study of Project Management Software Usage for the Success of Information and Communication Technology Projects - Sri Lankan Context 
    Kanchana, D.P.U.; Nanthagopan, Y. (Department of Project Management, Faculty of Business Studies, University of Vavuniya, 2025)
    The increasing complexity of information and communication technology (ICT) projects in the contemporary business environment highlighted the critical role of project management software (PMS) in achieving successful project ...
  • 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 ...
  • Study the Integration of Generative Artificial Intelligence on Project Lifecycle in Software Development Projects in Sri Lanka 
    Thusalini, P.; Nanthagopan, Y. (Department of Project Management, Faculty of Business Studies, 2025)
    This study explores the integration of Generative Artificial Intelligence (AI) across the project lifecycle phases in Sri Lanka’s software development sector. The primary focus is investigating how Generative AI influences ...
  • 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 ...
  • Evaluating the Effectiveness of Agile Project Management Methodologies in Enhancing Software Project Outcomes in Sri Lanka 
    Hashini Prabodhani, J.M.; Nanthagopan, Y. (Department of Project Management, Faculty of Business Studies, 2025)
    This research evaluates how Agile Project Management methodologies can enhance software project outcomes in Sri Lanka's expanding IT sector. Agile methodologies such as Scrum, Kanban, Extreme Programming, and Lean focus ...
  • Artificial Intelligent Applications for Resource Allocation in Sri Lankan Construction Projects 
    Kiththanpahuwa, A.; Nanthagopan, Y. (Department of Project Management, Faculty of Business Studies, 2025)
    The construction industry in Sri Lanka faces persistent challenges in resource allocation, including inefficiencies, cost overruns, delays, and material wastage. These issues hinder project performance and efficiency, ...
  • 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 ...
  • Agile Project Management Approach in Tourism Hospitality Industry Projects in Puttalam District 
    Kaveesha, D.C.; Thirugnanasampanthar, S. (Department of Project Management, Faculty of Business Studies, University of Vavuniya, 2025)
    This study explores the Agile project management approach in tourism and hospitality industry projects in Puttalam District. Recognizing the dynamic nature of tourism and the need for adaptability, this research investigates ...
  • Unveiling the Influence of Artificial Intelligence on Project Governance in Sri Lankan Software Industries 
    Sathuthika, S.; Nanthagopan, Y. (Department of Project Management, Faculty of Business Studies, University of Vavuniya, 2025)
    In the rapidly evolving landscape of the Sri Lankan software industry, project governance stands at the crossroads of tradition and transformation. While conventional governance frameworks have long guided project ...
  • Impact of GDP and Inflation’s on the Growth of Startups in the Northern Zone of India 
    Maran, K.; Harikumar, P. (Faculty of Business Studies, University of Vavuniya, 2023-12)
    Northern India has emerged as a dynamic hub for entrepreneurship, driven by a combination of geographical advantages, government initiatives, educational institutions, investor interest, and supportive infrastructure. This ...