Browsing by Author "Madushika, M.K.S."

Browsing by Author "Madushika, M.K.S."

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  • Age invariant face recognition: A survey 
    Madushika, M.K.S.; Gunawickrama, S.H.K.K (Faculty of Science, University of Ruhuna, Matara, Sri Lanka, 2014-01-22)
    Facial aging is an important yet challenging problem that has recently been added to the problem of the face recognition. Human face varies over time in many aspects, including large inter-user similarity such as facial ...
  • Application of Vision Transformers in Online Advertisement Identification 
    Liyanage, C.R.; Madushika, M.K.S.; Nawarathna, R.D. (University of Ruhuna, Matara, Sri Lanka, 2022-03-02)
    Advertisements(ads) play an important role in many sectors, such as business, education and government as they can influence cultural and religious aspects of a society by disseminating important messages to people. ...
  • Conceptual Model to Identify Pest and Disease of Brinjal in Home Gardens 
    Laksiri, P.H.P.N.; Indika, W.A.; Madushika, M.K.S.; Wathugala, D.L. (University of Ruhuna, 2021-03-03)
    Home gardening has become an essential part of Sri Lankans after launching the “Saubhagya” program which aims to develop one million home gardens. But with the busy lifestyles of the people, it revealed that it is very ...
  • A Review on Transfer Learning Methods Used for Skin Cancer Detection 
    Wijesundara, W.M.D.D.B.; Wannige, C.T.; Madushika, M.K.S.; Liyanage, Achala (University of Ruhuna, Matara, Sri Lanka, 2023-06-07)
    Skin cancer is the most common type, with early detection and diagnosis crucial for improving patient outcomes. Machine learning algorithms, particularly deep learning approaches such as convolutional neural networks (CNNs), ...
  • Salient object detection of images with various object properties 
    Weerasinghe, M.A.M.K.; Madushika, M.K.S.; Kumari, D.W.C.P. (Ruhuna Science Research Circle, Faculty of Science, University of Ruhuna, 2022-11-02)
    Convolutional Neural Networks (CNNs) have recently shown robust feature representation capabilities and have substantially aided the development of Salient Object Detection (SOD). Most of the SOD models are used encoder-decoder ...
  • User-friendly mobile-based application for agricultural activities in Sri Lanka 
    Gunawardana, D.A.Y.K.; Walisadeera, A.I.; Madushika, M.K.S. (Faculty of Science, University of Ruhuna, Matara, Sri Lanka, 2020-01-22)
    Sri Lanka is an agricultural country and 28.4% of the total labor force of the country is engaged with agricultural activities. Technology has impacted on day-to-day activities and the usage of smart phones has made people’s ...

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