Now showing items 1-2 of 2

    • Artificial neural network for the classification of steel hollow pipe 

      Nur Farahiyah, Mohamad; Hafizawati, Zakaria; Rakhmad Arief, Siregar; Hariharan, M.; Fauziah, Mat (Universiti Malaysia Perlis, 2009-10-11)
      Within industry, piping is a very important system that used to convey fluid (liquid and gases) from one location to another. Steel pipe is one of the commonly type of pipe that has been used since before. Crack on pipe ...
    • Prediction of Reverberation time in university classrooms using Neural Network 

      Paularaj, M. P.; Mohd Shukry, Abdul Majid; Sazali, Yaacob; Hariharan, M.; Wan Mohd Ridzuan, Wan Ab Majid (Universiti Kebangsaan Malaysia, 2007)
      Reverberation time is fundamental to the study of the acoustics of an enclosed space. An important objective of architectural acoustics is to predict the reverberation time in an enclosed space. Reverberation time is also ...