Browsing Department of Information and Communication Technology by Subject "Deep Learning"

Browsing Department of Information and Communication Technology by Subject "Deep Learning"

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  • Banana Classification using Deep Learning Techniques in the Sri Lankan Context 
    Kumara, D.; Sonali, H.G.M.; Lakmini, W.; Lakshan, R.M.M.; Mayumika, P.; Athukorala, A.; Fernando, W.S.S.D.; Nadarajah, S.; Suthaharan, S. S. (TASME 2025, 2025)
    Bananas are one of the most widely consumed fruits worldwide, and they come in various shapes, sizes, and colors. Bananas are one of the few tropical crops that have not been bred successfully, and all presently ...
  • Classification of Sri Lankan Skin Diseases Using Ensemble Deep Learning Models 
    Thapalingasivam, K.; Vinoharan, V.; Sivanesan, P. (IEEE, 2024-12-05)
    Skin disease detection is a critical component of dermatological healthcare, traditionally dependent on dermatologists’ expertise for accurate diagnosis. However, manual diagnosis can be time-consuming and prone to errors, ...
  • An Ensemble Method for Fatigue Detection based on Multiple Facial Expressions 
    Venuja, N.; Nadarajah, S.; Thavayoganathan, A.; Senthooran, V. (Sabaragamuwa University of SriLanka, 2023)
    People who spend a lot of time staring at screens need to be aware of their own level of fatigue because it can lower productivity and increase the risk of accidents. In this research work, we suggest a novel method for ...

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