Browsing RCAICT - 2025 by Publication Date

Browsing RCAICT - 2025 by Publication Date

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  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Detecting Pests in Mango Crops using Machine Learning (ML) 
    Sankeetha, V.; Agalya, V.; Vinoharan, V. (Faculty of Technological Studies, University of Vavuniya, 2025)
    Mango is one of the most important fruit crops in Sri Lanka, playing a vital role in both the agricultural sector and rural livelihoods. Despite its economic value, mango cultivation faces persistent challenges due to pest ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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) ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...

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