Browsing Ruhuna International Science and Technology Conference by Subject "Deep learning"

Browsing Ruhuna International Science and Technology Conference by Subject "Deep learning"

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  • Improving the accuracy using ensemble based predictive model for predicting healthy lifestyle based on lifestyle, habits, and behaviors 
    Perera, T.D.M.; Rupasingha, R.A.H.M. (Faculty of Science, University of Ruhuna, Matara, Sri Lanka, 2024-01-24)
    A healthy lifestyle is important more than past in these days because we are living very busy lifestyles to accomplish life goals. Sometimes we forget our health, social connections, etc. because of this infinite life ...
  • Liver disease detection using CT images and R2U-NET algorithm 
    Amarasinghe, K.R.; Janarthanan, J.; Ramanan, M. (Faculty of Science, University of Ruhuna, Matara, Sri Lanka, 2023-01-18)
    The Computed Tomography (CT) scan pictures are one of the most helpful tools for diagnosing unusual regions in the liver. These picutres can be used to identify abnormal areas of the liver and width of these areas in ...
  • Profanity word detection for Sinhala language using deep learning 
    Kumara, S.K.H.R.S.; Jayaneththi, J.K.D.B.G. (Faculty of Science, University of Ruhuna, Matara, Sri Lanka, 2023-01-18)
    In the present world, content censorship is an important concept. When it comes to the Sinhala language, several studies have been conducted on textbased content censorship methods, but not for audio content. The Sri ...
  • Sales forecasting using improved LSTM deep learning model 
    Yeshani, R.B. (Faculty of Science, University of Ruhuna, Matara, Sri Lanka, 2023-01-18)
    Time series Analysis (TSA) is used to explore, analyze and predict time series data, and its ultimate goal is to predict future values based on historical data. Sales forecasting plays a vital role in business management; ...

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