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  1. 21

    Firearm recognition based on whole firing pin impression image via backpropagation neural network by Ahmad Kamaruddin, Saadi, Md Ghani, Nor Azura, Liong, Choong-Yeun, Jemain, Abdul Aziz

    Published 2011
    “…Firearms identification is a vital aim of firearm analysis. The firing pin impression image on a cartridge case from a fired bullet is one of the most significant clues in firearms identification. …”
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    Book Chapter
  2. 22

    Firearm recognition based on whole firing pin impression image via backpropagation neural network by Ahmad Kamaruddin, Saadi, Md Ghani, Nor Azura, Liong, Choong-Yeun, Jemain, Abdul Aziz

    Published 2011
    “…Firearms identification is a vital aim of firearm analysis. The firing pin impression image on a cartridge case from a fired bullet is one of the most significant clues in firearms identification. …”
    Get full text
    Proceeding Paper
  3. 23

    Frequency reconfiguration mechanism of a PIN diode on a reconfigurable antenna for LTE and WLAN Applications by Mohd Shah, Shaharil, Daud, M. F. M., Zainal Abidin, Zuhairiah, Che Seman, Fauziahanim, Hamzah, Shipun Anuar, Katiran, Norshidah

    Published 2018
    “…In this work, a frequency reconfigurable antenna with a BAR63-02V Positive-Intrinsic-Negative (PIN) diode is designed, simulated and fabricated. …”
    Article
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    Artificial neural network implementation on firearm recognition system with respect to ring firing pin impression image by Ahmad Kamaruddin, Saadi, Md Ghani, Nor Azura, Liong, Choong-Yeun, Jemain, Abdul Aziz

    Published 2011
    “…Firearms identification is a vital aim of firearm analysis. The firing pin impression image on a cartridge case from a fired bullet is one of the most significant clues in firearms identification. …”
    Get full text
    Proceeding Paper
  6. 26

    Development of accident prediction model by using artificial neural network (ANN) by Ramli, Mohd Zakwan

    Published 2011
    “…The study process involves the identification of accident blackspot locations, establishment of general patterns of accident, analysis of the factors involved, site studies, and development of accident prediction model using Artificial Neural Network (ANN) applied software which named NeuroShell2. …”
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    Thesis
  7. 27

    Diagnosis of bivariate process variation using an integrated mspc-ann scheme by Masood, Ibrahim, Ali, Rasheed Majeed, Mohd Solihin, Nurul Adlihisam, Elewe, Adel Muhsin

    Published 2016
    “…Design considerations involved extensive simulation experiments to select input representation based on raw data and statistical features, recognizer design structure based on individual and Statistical Features-ANN models, and monitoring-diagnosis approach based on single stage and two stages techniques. …”
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    Article
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    Prediction the photovoltaic system performance via artificial neural network (ANN) technique by Jumaat, Siti Amely, Mohamed, Abdou Mani, Mohamad Nor, Ahmad Fateh

    Published 2024
    “…To address this, this study proposes an artificial neural network (ANN) model designed to forecast the power output of both monocrystalline and polycrystalline photovoltaic (PV) panels. …”
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    Conference or Workshop Item
  11. 31

    Prediction the photovoltaic system performance via artificial neural network (ANN) technique by Jumaat, Siti Amely, Mohamed, Abdou Mani, Mohamad Nor, Ahmad Fateh

    Published 2024
    “…To address this, this study proposes an artificial neural network (ANN) model designed to forecast the power output of both monocrystalline and polycrystalline photovoltaic (PV) panels. …”
    Get full text
    Conference or Workshop Item
  12. 32

    Prediction the photovoltaic system performance via Artificial Neural Network (ANN) Technique by Jumaat, Siti Amely, Mohamed, Abdou Mani, Mohamad Nor, Ahmad Fateh

    Published 2024
    “…To address this, this study proposes an artificial neural network (ANN) model designed to forecast the power output of both monocrystalline and polycrystalline photovoltaic (PV) panels. …”
    Get full text
    Conference or Workshop Item
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    Comparison between ANN and multiple linear regression models for prediction of warranty cost by Darmawan, Mohd Faaizie, Jamahir, NurIzzati, Saedudin, Rd. Rohmat, Kasim, Shahreen

    Published 2018
    “…This paper presents a methodology to adapt historical maintenance warranty data with comparison between Artificial Neural Network (ANN) and multiple linear regression approach.…”
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    Article
  15. 35
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    Impact of ERP system on productivity improvement: some empirical findings by Zainol, Zaini, Abu Bakar , Zaitun

    Published 2011
    “…These companies have been using ERP based systems for a minimum three years. Our findings showed mixed results. Of the three indicators, the labour productivity indicator had shown positive contribution whereas the remaining two indicators i.e. competitiveness and capital productivity had resulted in negative feedback. …”
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    Article
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