Now showing items 1-2 of 2

    • Bacteria classification using electronic nose for diabetic wound monitoring 

      Azian Azamimi, Abdullah; Nurlisa, Yusuf @ Idris; Ammar, Zakaria, Dr.; Mohammad Iqbal, Omar@Ye Htut, Assoc. Prof. Dr.; Ali Yeon, Md Shakaff, Prof. Dr.; Abd Hamid, Adom, Prof. Dr.; Latifah Munirah, Kamarudin, Dr.; Yeap, Ewe Juan, Dr.; Amizah, Othman, Dr.; Mohd Sadek, Yasin (Trans Tech Publications, 2013)
      Array based gas sensor technology namely Electronic Nose (E-nose) now offers the potential of a rapid and robust analytical approach to odor measurement for medical use. Wounds become infected when a microorganism which ...
    • Comparing the classification performance of multi sensor data fusion based on feature extraction and feature selection 

      Maz Jamilah, Masnan; Ali Yeon, Md Shakaff, Prof. Dr.; Ammar, Zakaria; Nor Idayu, Mahat (Universiti Malaysia Perlis (UniMAP)School of Mechatronic Engineering, 2012-02-27)
      Linear discriminant analysis (LDA) has been widely used in the classification of multi sensor data fusion. This paper discusses the performance of LDA when the classifications were performed based on feature extraction ...