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    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 ...
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    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 ...
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    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), 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 ...

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    AuthorAmmar, Zakaria (3)Maz Jamilah, Masnan (2)Abdul Hallis, Abd Aziz (1)Abdul Hallis, Abdul Aziz (1)Abdul Hamid, Adom, Assoc. Prof. Dr. (1)... View MoreSubject
    Data fusion (3)
    Electronic nose (2)Biomimetic (1)Electronic tongue (1)FTIR (1)... View MoreDate Issued2012 (1)2010 (2)

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