Browsing University Publications by Author "Sakuntharaj, R."

Browsing University Publications by Author "Sakuntharaj, R."

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  • 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 ...
  • 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, ...
  • 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 ...
  • Recognizing Preschool Children Handwriting Using CNN 
    Abirami, S.; Jayarathna, J.H.S.S.M.; Abeysinghe, A.K.U.S.; Sakuntharaj, R. (Korea Database Strategy Society (KDSS), 2026)
    The major difficulty of identifying handwritten numbers and alphabetic letters produced by preschoolers is addressed in this study. It can be challenging for conventional automated recognition systems to correctly interpret ...

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