Browsing Ammar Zakaria, Associate Professor Dr. by Subject "Data fusion"

Now showing items 1-3 of 3

    • Determination of honey floral origin using data fusion of electronic taste and smell sensing system 

      Abdul Hallis, Abdul Aziz; Ammar, Zakaria; Ali Yeon, Md Shakaff, Prof.; Abdul Hamid, Adom, Prof. Madya Dr.; Maz Jamilah, Masnan (Universiti Malaysia Perlis (UniMAP)Institut Matematik Kejuruteraan, 2010-06-02)
      Determination of honey classification based on floral origin requires expensive instrument and/or labor intensive expert personnel. In this study, electronic taste sensing and smell sensing systems were used to determine ...

    • A hybrid sensing approach for pure and adulterated honey classification 

      Norazian, Subari; Junita, Mohamad Saleh, Dr.; Ali Yeon, Md Shakaff, Prof. Dr.; Ammar, Zakaria (MDPI AG, Basel, Switzerland, 2012-10)
      This paper presents a comparison between data from single modality and fusion methods to classify Tualang honey as pure or adulterated using Linear Discriminant Analysis (LDA) and Principal Component Analysis (PCA) statistical ...

    • Improved classification of Orthosiphon stamineus by data fusion of electronic nose and tongue sensors 

      Ammar, Zakaria; Ali Yeon, Md. Shakaff, Prof. Dr.; Abdul Hamid, Adom, Assoc. Prof. Dr.; Mohd Noor, Ahmad; Maz Jamilah, Masnan; Abdul Hallis, Abd Aziz; Nazifah, Ahmad Fikri; Abu Hassan, Abdullah; Latifah Munirah, Kamarudin (MDPI Publishing, 2010-09-28)
      An improved classification of Orthosiphon stamineus using a data fusion technique is presented. Five different commercial sources along with freshly prepared samples were discriminated using an electronic nose (e-nose) and ...