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  1. 1

    Parallel matrix-multiplication algorithm on network of workstations by Md. Aminuddin, Rusdi, Abdullah, Rosni, Hassan, Suhaidi

    Published 2004
    “…However, these types of algorithms often carried out on expensive supercomputers or multiprocessing systems. …”
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    Article
  2. 2

    Optimal power flow using the Jaya algorithm by Warid, Warid, Hizam, Hashim, Mariun, Norman, Abdul Wahab, Noor Izzri

    Published 2016
    “…Statistical analysis is also carried out to check the reliability of the Jaya algorithm. …”
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    Article
  3. 3

    Voting algorithms for large scale fault-tolerant systems by Karimi, Abbas

    Published 2011
    “…To do so, we have introduced a new sequential m-out-of-n algorithm with prediction ability which is known as enhanced m-out-of-n voter. …”
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    Thesis
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    Review of the grey wolf optimization algorithm: variants and applications by Liu, Yunyun, As’arry, Azizan, Hassan, Mohd Khair, Hairuddin, Abdul Aziz

    Published 2023
    “…The GWO algorithm offers several significant benefits, including simple implementation, rapid convergence, and superior convergence outcomes, leading to its effective application in diverse fields for solving optimization issues. …”
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    Article
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    DC motor control using LQR algorithm by Adezeno, Sagoli Olid

    Published 2008
    “…An application in Matlab called Simulink is used as tools for algorithm implementation. …”
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    Undergraduates Project Papers
  12. 12

    Framework for pedestrian walking behaviour recognition to minimize road accident by Hashim Kareem, Zahraa

    Published 2021
    “…The results indicate the following: (1) From 262 samples, 66.80% and 48.10% of respondents use mobile phones for calling and chatting, respectively. (2) 263 samples of participants are obtained and analysed, and 90 features are extracted from each sample. (3) 100% classification accuracy are obtained for each class (normal walking, calling, chatting, and running) using the grid optimiser method in machine learning. (4) The precision of classification using Euclidean algorithm for normal walking and calling is 70%. …”
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    Thesis
  13. 13

    Framework for pedestrian walking behaviour recognition to minimize road accident by Hashim Kareem, Zahraa

    Published 2021
    “…The results indicate the following: (1) From 262 samples, 66.80% and 48.10% of respondents use mobile phones for calling and chatting, respectively. (2) 263 samples of participants are obtained and analysed, and 90 features are extracted from each sample. (3) 100% classification accuracy are obtained for each class (normal walking, calling, chatting, and running) using the grid optimiser method in machine learning. (4) The precision of classification using Euclidean algorithm for normal walking and calling is 70%. …”
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    Thesis
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    Development of symbolic algorithms for certain algebraic processes by Abd. Rahman, Ali, Aris, Nor'Aini

    Published 2007
    “…For more definitive conclusions, the computing time functions of the algorithms that are presented in this report have been worked out. …”
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    Monograph
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    University class timetable tool by Ang, Wen Jie

    Published 2022
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    Final Year Project / Dissertation / Thesis
  20. 20

    Development of symbolic algorithms for certain algebraic processes by Abd. Rahman, Ali, Aris, Nor'aini

    Published 2007
    “…For more definitive conclusions, the computing time functions of the algorithms that are presented in this report have been worked out. …”
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    Monograph