Now showing items 1-4 of 4

    • Comparison of artificial intelligence (AI) based models for sediment transport prediction using swot and statistical analyses 

      Jie, Chin Ren; Wei, Lee Foo; Zee, Kwong Kok; Hin, Lai Sai (The Institution of Engineers, Malaysia (IEM), 2022)
      The dynamics involved in sediment scour are complicated. Hence, it is a challenging task to create a general empirical optimisation algorithm for reliable sediment load estimation. This study aims to analyse the architectures ...
    • Natural stable river section design using FLUVIAL-12 

      Ahmad, Darus; Nor Azazi, Zakaria, Prof. Madya Dr.; Aminuddin, Ab. Ghani, Prof. Madya Dr.; Rozi, Abdullah, Prof. Madya Dr. (The Institution of Engineers, Malaysia, 2005-05)
      Sediment transporting capacity, curvature effects as well as composition of channel bed and bank materials need to be considered by the engineer during the design process of natural channels. Neglecting these effects ...
    • Sediment model for natural and man-made channels using general regression neural network 

      Junaidah, Ariffin; Nurashikin, Ahmad Kamal; Muhamad Syahreen, Sa’adon; Mohd Nasir, Taib; Suhaimi, Abdul-Talib; Aminuddin, Abd-Ghani; Nor Azazi, Zakaria; Ahmad Shukri, Yahaya (The Institution of Engineers, Malaysia, 2008-09)
      This paper presents a new sediment transport model using general regression neural network (GRNN) that are applicable for both natural and man-made channels. GRNN is a supervised network that trains quickly sparse data ...
    • A study of sediment transport and sedimentation potential of the proposed Timah Tasoh western diversion canal 

      Siti Nur Aina, Shamsulbahri (Universiti Malaysia Perlis (UniMAP)School of Environmental Engineering, 2015-06)
      This study was conducted on a Timah Tasoh Western Diversion Canal is to determine sediment transport and an area with potential for sediment. This canal is being built along 22.5 km from the dam until Kuala Perlis River, ...