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  1. 1
    Stability augmentation system of active suspension system in electric vehicle conversion: Towards optimal ride comfort performance

    Stability augmentation system of active suspension system in electric vehicle conversion: Towards optimal ride comfort performance by Saiful Anuar, Abu Bakar, Ryosuke, Masuda, Hiromu, Hashimoto, Takeshi, Inaba, Hishamuddin, Jamaluddin, Roslan, Abd Rahman, Pakharuddin, Mohd Samin

    Published 2012
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  2. 2
    Comparison between fuzzy bootstrap weighted multiple linear regression and multiple linear regression: a case study for oral cancer modelling

    Comparison between fuzzy bootstrap weighted multiple linear regression and multiple linear regression: a case study for oral cancer modelling by Mohd Ibrahim, Mohamad Shafiq, Wan Ahmad, Wan Muhamad Amir, Hasan, Ruhaya, Harun, Masitah Hayati

    Published 2018
    “…To illustrate the potential of built-in algorithm, a case study which emphasized on tumour was used. …”
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    Proceeding Paper
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  3. 3
    JMASM41: An alternative method for multiple linear model regression modeling, a technical combining of robust, bootstrap and fuzzy approach (SAS)

    JMASM41: An alternative method for multiple linear model regression modeling, a technical combining of robust, bootstrap and fuzzy approach (SAS) by Wan Ahmad, Wan Muhamad Amir, Aleng, Nor Azlida, Awang Nawi, Mohamad Arif, Mohd Ibrahim, Mohamad Shafiq

    Published 2016
    “…An algorithm for combining method is given by SAS language. …”
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  4. 4
    Statistical modeling via bootstrapping and weighted techniques based on variances

    Statistical modeling via bootstrapping and weighted techniques based on variances by Wan Ahmad, Wan Muhamad Amir, Aleng, Nor Azlida, Ali, Z, Mohd Ibrahim, Mohamad Shafiq

    Published 2018
    “…This study aims to provide an applied method for multiple logistic regression which is called modified Bayesian logistic regression modeling as an alternative technique for logistic regression analysis that focuses on a combination of the bootstrap method using SAS macro and weighted techniques based on variances using SAS algorithm. …”
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  5. 5
    RELMARK: An innovative algorithm for preprocessing of transactional business data

    RELMARK: An innovative algorithm for preprocessing of transactional business data by Mohd Shaharanee, Izwan Nizal, Mohd Jamil, Jastini, Hashim, Kamarul Faizal

    Published 2015
    “…The experiments using synthetic and real world data demonstrate the effectiveness of the algorithm.…”
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  6. 6
    Guidance and control for satellite in-orbit-self-assembly proximity operations

    Guidance and control for satellite in-orbit-self-assembly proximity operations by Okasha, Mohamed Elsayed Aly Abd Elaziz, Park, Chandeok, Park, Sang-Young

    Published 2015
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  7. 7
    FACTS device installation in transmission system using whale optimization algorithm

    FACTS device installation in transmission system using whale optimization algorithm by Shahbudin I.S., Musirin I., Suliman S.I., Harun A.F., Mustaffa S.A.S., Suyono H., Ghani N.A.M.

    Published 2023
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  8. 8
    Hybrid Skyhook-Stability Augmentation System For Ride Quality Improvement Of Railway Vehicle

    Hybrid Skyhook-Stability Augmentation System For Ride Quality Improvement Of Railway Vehicle by Harun, Mohd Hanif, W. Abdullah@Zakaria, W. Mohd Zailimi, Jamaluddin, Hishamuddin, Ab Rahman, Roslan, Hudha, Khisbullah

    Published 2014
    “…This paper is aimed to show the improvement of ride quality of railway vehicle with semi-active suspension systems.The dynamics of nine degrees-of-freedom (9-DOF) railway vehicle model is developed consists of a vehicle body,two bogies and four wheel-set.The disturbance considered is track irregularity which is modelled as a sine wave.The control algorithm for the semi-active suspension system is developed based on Stability Augmentation System (SAS) integrated with skyhook controller to reduce the effect of track disturbance.The performances of passive and semi-active suspension are compared by simulation using MATLAB-SIMULINK software. …”
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  9. 9
    Statistical process control for failure crushing time data using competing risks model

    Statistical process control for failure crushing time data using competing risks model by Elfaki, Faiz Ahmed Mohamed, Daoud, Jamal Ibrahim, Azram, Mohammad, Daud, Isa, Ibrahim, N.A., Usman, Mustofa

    Published 2011
    “…The results of this study show that, the competing risks model performs well for SPC using SAS software.…”
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  10. 10
    Decision Tree: Customer churn analysis for a loyalty program using data mining algorithm

    Decision Tree: Customer churn analysis for a loyalty program using data mining algorithm by Lee, Angela Siew Hoong *, Zuraini Zainol, Ng, Claudia, Chan, Khin Whai

    Published 2019
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  11. 11
    Statistical process control for failure crushing time data using competing risks model.

    Statistical process control for failure crushing time data using competing risks model. by Elfaki, F.A.M., Daud, Isa, Ibrahim, Noor Akma, Daud, J., Azram, M., Usman, M.

    Published 2011
    “…The results of this study show that, the competing risks model performs well for SPC using SAS software.…”
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  12. 12
    Pembangunan dimensi baru bagi model regresi eksponen (kreb): aplikasi dalam sains kesihatan

    Pembangunan dimensi baru bagi model regresi eksponen (kreb): aplikasi dalam sains kesihatan by Rohim, Rabi'atul 'Adawiyah Abdul

    Published 2020
    “…The main focus of this study is to establish a standard procedure for integrated exponential function algorithm, the KREB Model, with emphasis on the modelling techniques based on the scientific computational statistical method and the advanced statistical method by utilising the SAS software. …”
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    Thesis
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  13. 13
    Parametric Cox’s Model for partly interval-censored data with application to AIDS studies

    Parametric Cox’s Model for partly interval-censored data with application to AIDS studies by Elfaki, Faiz Ahmed Mohamed, Azram, Mohammad, Usman, Mustofa

    Published 2012
    “…Our proposal is easily implemented by using SAS software in the present of partly interval-censored data.…”
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  14. 14
    A Dynamical Behavior Measurement Algorithm for Smart Meter Data: An Analytical Study

    A Dynamical Behavior Measurement Algorithm for Smart Meter Data: An Analytical Study by Al-Ghaili A.M., Baskaran H., Ibrahim Z.-A., Rahim F.A., Hairi S.A.S.

    Published 2023
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  15. 15
    Modified zero inflated poisson regression analysis and its application to public health data

    Modified zero inflated poisson regression analysis and its application to public health data by Wan Ahmad, Wan Muhamad Amir, Zafakali, Nur Syabiha, Aleng, Nor Azlida, Mohd Ibrahim, Mohamad Shafiq, Hasan, Ruhaya, Mokhtar, Kasypi

    Published 2019
    “…This paper focuses on the programming of zero inflated Poisson regression (ZIPR) with combination of fuzzy regression method through SAS algorithm. This alternative method can be used as a tool of data analysis in various branches of science that include biostatistics, biometry. …”
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  16. 16
    Chaotic local search based algorithm for optimal DGPV allocation

    Chaotic local search based algorithm for optimal DGPV allocation by Mustaffa S.A.S., Musirin I., Othman M.M., Zamani M.K.M., Kalam A.

    Published 2023
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  17. 17
    DEVELOPMENT OF AN AUTOMATED FLOW RATE ESTIMATION METHOD

    DEVELOPMENT OF AN AUTOMATED FLOW RATE ESTIMATION METHOD by EMALISA BINTI KAMSANI, EMALISA

    Published 2012
    “…In this project, a flow rate estimation mettrod will be developed using the MATL^ab algorithm. This method can be use to estimate a volume flow rate of leaking fluid to the environment. …”
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    Final Year Project
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  18. 18
    Proving the efficiency of alternative linear regression model based on mean square error (MSE) and average width using aquaculture data

    Proving the efficiency of alternative linear regression model based on mean square error (MSE) and average width using aquaculture data by Awang Nawi, Mohamad Arif, Wan Ahmad, Wan Muhamad Amir, Mohd Ibrahim, Mohamad Shafiq, Mamat, Mustafa, Khamis, Mohd Fahdli, Mohamed, Mohamad Afendee

    Published 2019
    “…The alternative method in this study is a combination of four methods, namely multiple linear regression method, the bootstrap method, a robust regression method and fuzzy regression through the construction of algorithms by using SAS software. Typically, the alternative method optimized by minimizing the mean square error (MSE) and average width. …”
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  19. 19
    Proving the eficiency of Alternative Linear regression Model Based on Mean Square Error (MSE) and average width using aquaculture data

    Proving the eficiency of Alternative Linear regression Model Based on Mean Square Error (MSE) and average width using aquaculture data by Awang Nawi, Mohamad Arif, Wan Ahmad, Wan Muhamad Amir, Mohd Ibrahim, Mohamad Shafiq, Mamat, Mustafa, Khamis, Mohd Fadhli, Mohamed, Mohamad Afendee

    Published 2019
    “…The alternative method in this study is a combination of four methods, namely multiple linear regression method, the bootstrap method, a robust regression method and fuzzy regression through the construction of algorithms by using SAS software. Typically, the alternative method optimized by minimizing the mean square error (MSE) and average width. …”
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  20. 20
    Optimal SVC allocation via symbiotic organisms search for voltage security improvement

    Optimal SVC allocation via symbiotic organisms search for voltage security improvement by Zamani M.K.M., Musirin I., Mustaffa S.A.S., Suliman S.I.

    Published 2023
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