Browsing by Author "Sakuntharaj, R."

Browsing by Author "Sakuntharaj, R."

Sort by: Order: Results:

  • 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 ...
  • Attendance Marking System using QR codes with Facial Features 
    Adikaram, K.K.J.K.B.; Mohomed Wazeem, S.K.; Ranaweera, S.D.; Sakuntharaj, R. (Korea Database Strategy Society (KDSS), 2026)
    This research presents the design and implementation of a secure, AI-powered attendance system utilizing dual authentication through facial recognition and QR code verification. The study addresses the prevalent issues ...
  • Automated Detection of Multiple Plant Diseases in Paddy and Jackfruit using Machine Learning 
    Liyanwala, D.K.G.; Jayasundara, T.N.; Amarasinghe, P.Y.; Sakuntharaj, R. (Korea Database Strategy Society (KDSS), 2026)
    Early identification of plant diseases plays an important role in reducing crop damage and improving agricultural productivity. This study presents a deep learning–based system for the automatic detection of multiple ...
  • 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 ...
  • Deep Learning Model for Tamil Part-of-Speech Tagging 
    Visuwalingam, H.; Sakuntharaj, R.; Alawatugoda, J.; Ragel, R. (Oxford University Press on behalf of The British Computer Society, 2024-03-15)
    Part-of-Speech (POS) tagging is one of the popular Natural Language Processing (NLP) tasks. It is also considered to be a preliminary task for other NLP applications such as speech recognition, machine translation, and ...
  • 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 ...
  • Deep Learning-Based Monitoring of Chili Plant Leaf Health 
    Kavindu Rashmika, W.A.D.; Semasinghe, T.M.N.M.; Vithanage, M.V.S.C.; Sakuntharaj, R. (Korea Database Strategy Society (KDSS), 2026)
    Chili is one of the most important crops in Sri Lanka, but its productivity and quality are often threatened by leaves diseases and nutrient deficiencies such as Bacterial Spot, Cercospora Leaf Spot, Curl Virus, White Spot, ...
  • Detecting and Correcting Contextual Mistakes in Sentences Using Part of Speech Tags 
    Sakuntharaj, R. (Asian Journal of Research in Computer Science, 2023-03-04)
    A grammar checker is a tool to check each sentence in a text to see whether it conforms to the grammar. In case it finds a structure that conflicts with the conformity to the grammar, it would give suggestions for alternatives. ...
  • Detecting and correcting grammatical mistakes due to subject-verb inconformity and conflicts in tense aspects in Tamil sentences 
    Sakuntharaj, R.; Mahesan, S. (University of Ruhuna, 2019-01-30)
    A grammar checker checks each sentence in a text for conformity to grammar rules. If conflicts are detected, it suggests corrections. This paper proposes an approach to detecting and correcting Tamil grammatical errors ...
  • Detecting and correcting real-word errors in Tamil sentences 
    Sakuntharaj, R.; Mahesan, S. (Faculty of Science, University of Ruhuna, 2019-12-01)
    Spell checkers concern two types of errors namely non-word errors and real-word errors. Non-word errors can be of two categories: First one is that the word itself is invalid; the other is that the word is valid but not ...
  • 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 ...
  • 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 ...
  • Emotion-Predictive Modeling for Personalized Music Recommendation in Individuals with Depression 
    Warakagoda, R.N.A.M.M.K.; Jayasinghe, J.K.C.S.; Kavishka, W.P.G.; Sakuntharaj, R. (Korea Database Strategy Society (KDSS), 2026)
    Depression is a prevalent mental health disorder that significantly affects emotional well-being, daily functioning, and quality of life. Although traditional treatments such as psychotherapy and medication are widely ...
  • Empirical study of the epidemic and optimized link state routing protocols (OLSR) for the scalable wireless ad-hoc network simulations (SWANS) 
    Sakuntharaj, R. (South Eastern University of Sri Lanka, 2014-08-01)
    A Mobile Ad-Hoc Networks (MANETs) is a network architecture that can be rapidly, deployed without relying on preexisting fixed network infrastructure. The nodes in a MANET scan dynamically join and leave the network, ...
  • 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, ...
  • Findings of shared task on offensive language identification in Tamil and Malayalam 
    Kumaresan, P.K.; Premjith; Sakuntharaj, R.; Thavareesan, S.; Navaneethakrishnan, S.; Madasamy, A.K.; Chakravarthi, B.R.; McCrae, J.P. (ACM, 2021-04-20)
    We present the results of HASOC-Dravidian-CodeMix shared task1 held at FIRE 2021, a track on offensive language identification for Dravidian languages in Code-Mixed Text in this paper. This paper will detail the task, its ...
  • IIITT at CASE 2021 task 1: Leveraging pretrained language models for multilingual protest detection 
    Kalyan, P.; Reddy, D.; Hande, A.; Priyadharshini, R.; Sakuntharaj, R.; Chakravarthi, B.R. (Association for Computational Linguistics, 2021-08-05)
    In a world abounding in constant protests resulting from events like a global pandemic, climate change, religious or political conflicts, there has always been a need to detect events/protests before getting amplified by ...
  • 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 ...
  • Missing word detection and correction based on context of Tamil sentences using n-grams 
    Sakuntharaj, R.; Mahesan, S. (IEEE, 2021-08-11)
    The main function of a spell checker is to detect and correct erroneous words, missing words and grammatical mistakes in text documents. Erroneous words and grammatical mistakes can occur in sentences due to various reasons. ...
  • 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 ...