• Common technique for detecting and correcting both non-word and real-word errors in Tamil sentences 

  Sakuntharaj, R.; Mahesan, S. (7th Ruhuna International Science & Technology Conference, 2020)

  Erroneous words can be classified into two categories, namely non-word errors and real-word errors. These errors can occur in sentences when typing a document due to fast typing, switching of fingers on keys, input tools ...
• Do images really do the talking? analysing the significance of images in tamil troll meme classification 

  Hegde, S. U.; Hande, A.; Priyadharshini, R.; Thavareesan, S.; Sakuntharaj, R.; Thangasamy, S.; Bharathi, B.; Chakravarthi, B. (Advances in Computational Intelligence, 2025)

  A meme is a part of media created to share an opinion or emotion across the internet. Due to their popularity, memes have become the new form of communication on social media. However, they are used in harmful ways such ...
• Extraction of Sentiments in Tamil Sentences Using Deep Learning 

  Loganathan, H.; Sakuntharaj, R. (2022 International Research Conference on Smart Computing and Systems Engineering (SCSE), 2022)

  Sentiment analysis is the process of extracting information from the given text in which the text consists of various sensations such as happiness, perturbation, pride, worry, and so on about various functions, human beings, ...
• A Sequential DNN for Sentiment Analysis of Dravidian Code-Mixed Language Comments on YouTube 

  Aaron Samuel, A.; Sambath Kumar, L.; Navaneethakrishnan, S.; Sakuntharaj, R. (FIRE 2022 - Forum for Information Retrieval Evaluation, December 9-13, 2022, Kolkata, India, 2022)

  A method for determining if a block of text is positive, neutral, or negative is sentiment analysis. As code-mixed material in many native languages is becoming increasingly widespread, there is also an increasing need for ...
• Sri Lankan seagrass families identification using underwater images through image enhancement and deep learning techniques 

  Diluxshan, J.; Athiththan, V.; Jegatheeswaran, T.; Keerthanaram, T.; Jeyamugan, T.; Ratnarajah, N. (ICITR, University of Moratuwa, Sri Lanka, 2025)

  Seagrass ecosystems play a vital role in marine biodiversity, carbon sequestration, and coastal protection, yet their monitoring is limited by challenges in underwater imaging and manual species identification. Automated ...
• Deep Learning for Intelligent Waste Sorting in Sri Lanka: A Conceptual Review 

  Herath, H.M.P.H.S.; Kuruneru, R.P.D.; Logeesan, R.; Venuja, N. (Faculty of Technological Studies, University of Vavuniya, 2025)

  Urban waste management in Sri Lanka is increasingly challenged by rising waste volumes, reliance on manual sorting, and inefficient collection systems. This review paper aims to examine how deep learning, particularly ...
• 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 ...
• 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 ...
• 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 ...
• Deep Learning-Based Detection of Diseases in Mangifera indica (Mango) 

  Bandara, B.M.A.U.; Chathuranga, T.D.K.; Madhuwantha, D.A.J.A.; Saranga, T.A.D.S.; Mishawrnilanthi, S.; Hasitha Viduranga, G.R.; Dhanaranga, K.W.I.B.; Vinoharan, V.; Suthaharan, S. (Faculty of Technological Studies, University of Vavuniya, 2025)

  Mango (Mangifera indica) is one of the most commercially viable fruit crops in Sri Lanka. However, its cultivation faces increasing challenges due to various pests and diseases, which significantly reduce both yield quantity ...
• 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 ...
• 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 ...
• 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 ...
• 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 ...
• 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) ...
• 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 ...

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