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  1. 1

    EFFECT OF PENALTY FUNCTION PARAMETER IN OBJECTIVE FUNCTION OF SYSTEM IDENTIFICATION by Abd Samad, Md Fahmi

    Published 2013
    “…The evaluation of an objective function for a particular model allows one to determine the optimality of a model structure with the aim of selecting an adequate model in system identification. …”
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    Article
  2. 2

    Simpler UNBabc Mapping Function for Global Positioning System (GPS) Tropospheric Delay by Sakidin, Hamzah, Tay, Choo Chuan

    Published 2010
    “…The UNBabc(E) mapping function models should be simplified to allow faster calculation and also better understanding of the models. …”
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    Conference or Workshop Item
  3. 3

    Simplification of Mapping Function For Global Positioning System (GPS)Tropospheric Delay by Sakidin, Hamzah, Tay, Choo Chuan

    Published 2010
    “…There is a need to simplify the mapping function models to allow faster calculation and also better understanding of the models. …”
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    Conference or Workshop Item
  4. 4

    Effect of Penalty Function Parameter in Objective Function of System Identification by Abd Samad, Md Fahmi, Hishamuddin, Jamaluddin, Robiah, Ahmad, Mohd Shafiek, Yaacob, Abul K. M., Azad

    Published 2013
    “…The evaluation of an objective function for a particular model allows one to determine the optimality of a model structure with the aim of selecting an adequate model in system identification. …”
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    Article
  5. 5

    Simplification Of Neill Mapping Function (NMF) For GPS Tropospheric Delay by Sadikin, Hamzah

    Published 2007
    “…There is a need to simplify the mapping function model to allow faster calculation and also better understanding of the models. …”
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    Conference or Workshop Item
  6. 6

    Modelling of GPS tropospheric delay wet Neill mapping function (NMF) by Sakidin, Hamzah, Ahmad, Asmala, Bugis, Ismadi

    Published 2014
    “…The modeling of the GPS tropospheric delay mapping function should be revised by modifying or simplify its mathematical model. …”
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    Conference or Workshop Item
  7. 7

    Simpler hydrostatics component of UNBabc mapping function using nonlinear curve fitting method by Batcha, S.R., Sakidin, H., Ahmad, A.

    Published 2016
    “…To ensure faster calculation, there is a need to simplify the mapping function models. The simplification of UNBabc mapping function model is using nonlinear curve fitting method. …”
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  8. 8

    Effect of GPS tropospheric delay Neill mapping function simplification by Abd.N., Matori, H., Sakidin, M.R., Abu Bakar, A.R., Mohamed Shariff, M.S., Md Noorani, A., Mohamed

    Published 2009
    “…There is a need to simplify the mapping function models to allow faster calculation and also better understanding of the models. …”
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    Citation Index Journal
  9. 9

    Detection of outliers in the unreplicated linear circular functional relationship model via functional form by Hussin, A.G., Abu Zaid, A., Mohamed, I.

    Published 2009
    “…In this paper we consider the problem of outliers for the functional relationship model of circular variables by transforming the circular data to continuous or real line data set via complex form. …”
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    Conference or Workshop Item
  10. 10

    ALTERNATIVE UNBabc MAPPING FUNCTION FOR TROPOSPHERIC DELAY by Sakidin, Hamzah, Tay, Choo Chuan

    Published 2010
    “…The UNBabc(E) mapping function models should be simplified to allow faster calculation and also better understanding of the models. …”
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    Conference or Workshop Item
  11. 11
  12. 12

    Effect of GPS tropospheric delay Neill mapping function simplification by Sakidin, Hamzah, Abu Bakar, Mohd Rizam, Mohamed Shariff, Abdul Rashid, Md Noorani, Mohd Salmi, Matori, Abd. Nasir, Mohamed, Azhari

    Published 2009
    “…There is a need to simplify the mapping function models to allow faster calculation and also better understanding of the models. …”
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    Article
  13. 13

    Effect of GPS tropospheric delay Neill mapping function simplification by Abd.N., Matori, H., Sakidin, M.R., Abu Bakar, A.R., Mohamed Shariff, M.S., Md Noorani, A., Mohamed

    Published 2009
    “…There is a need to simplify the mapping function models to allow faster calculation and also better understanding of the models. …”
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    Citation Index Journal
  14. 14

    Modeling and Modification of Global Positioning System Tropospheric Delay Mapping Function by Sakidin, Hamzah

    Published 2008
    “…In this research, 3 mapping function models which are known as, and Neill () are selected to be simplified, where as 2 mapping function models which are known as and Neill () are selected to be modified. …”
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    Thesis
  15. 15

    Neill’s mapping function simplification for dry component using regression methods by Hamzah, Sakidin, Siti Rahimah , Batcha, Asmala, A.

    Published 2015
    “…The modeling of the GPS tropospheric delay mapping function should be revised by simplifying its mathematical model. …”
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    Book Chapter
  16. 16
  17. 17

    Simpler Neill mapping function using nonlinear curve fitting method by Batcha, S.R., Sakidin, H., Ahmad, A.

    Published 2016
    “…In order to obtain fast results, the mapping function model need to be simplified. In this paper, the nonlinear curve fitting is used to simplify Neill Mapping Function model. …”
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    Conference or Workshop Item
  18. 18

    Memristor spice model for designing integrated circuits / Ahmad Fuad Adzmi by Adzmi, Ahmad Fuad

    Published 2013
    “…Also, memristor model based on Prodromakis window function only suffer 0.11% slower speed than the memristor model based on Strukov window function. …”
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    Thesis
  19. 19

    Simpler UNBab Mapping Function For Global Positioning System (GPS) Thopospheric Delay by Sakidin, Hamzah, Tay, Choo Chuan

    Published 2009
    “…The UNBab(E)mapping function models should be simplified 10 allow fatter calculation and also better undemanding of the models. …”
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    Conference or Workshop Item
  20. 20

    Prediction Of Air Pollution Index (API) And Water Quality Index (WQI) Using Support Vector Machine (SVM) by Leong, Wei Cong

    Published 2017
    “…It was found that the best kernel function for API SVM model was RBF kernel function with R2 of 0.9843 while for WQI SVM model was polynomial kernel function with R2 of 0.8796. …”
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    Monograph