Browsing by Author "Mohd Nasir, Taib"

Now showing items 1-4 of 4

    • Classification of frontal alpha asymmetry using k-Nearest neighbor 

      Siti Armiza, Mohd Aris; Mohd Nasir, Taib; Norizam, Sulaiman (Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
      Frontal alpha asymmetry is used as the EEG feature in this study. Total number of 43 students participated in EEG data collections of relax and non-relax conditions. The spectral power of the alpha band for both left and ...

    • The NARMAX Model for a DC Motor using MLP Neural Network 

      Norasmadi, Abdul Rahim; Mohd Nasir, Taib; Abdul Hamid, Adom, Prof. Dr.; Mohd Yusof, Mashor, Prof. Dr. (Kolej Universiti Kejuruteraan Utara Malaysia (KUKUM)School of Mechatronic Engineering, 2006-09-15)
      The approach to the design of direct current (DC) motor varies considerably using advanced methods such asartificial intelligence (AI). However, accuracy issuescannot be totally achieved using conventional methods.This ...

    • Rubber tire dust-rice husk pyramidal microwave absorber 

      Mohd Fareq, Abd. Malek, Dr.; Cheng, Ee Meng, Dr.; O., Nadiah; Nornikman, Hassan; M., Ahmed; M. Z. A., Abd Aziz; A. R., Osman; Soh, Ping Jack; Azremi, Abdullah Al Hadi; A., Hasnain; Mohd Nasir, Taib (EMW Publishing, 2011)
      Rubber tire dust-rice husk is an innovation in improving the design of pyramidal microwave absorbers to be used in radio frequency (RF) anechoic chambers. An RF anechoic chamber is a shielded room covered with absorbers ...

    • 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 ...