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  1. 1
    A combinatorial optimization technique using genetic algorithm :a case study in machine layout problem

    A combinatorial optimization technique using genetic algorithm :a case study in machine layout problem by Lau, Yung Siew.

    Published 2007
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    Final Year Project Report / IMRAD
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  2. 2
    IMPLEMENTATION OF A TIME SERIES PREDICTION ALGORITHM FOR COVID-19 CONFIRMED CASES IN MALAYSIA : A PRELIMANARY STUDY AFTER THE RECOVERY MOVEMENT CONTROL ORDER

    IMPLEMENTATION OF A TIME SERIES PREDICTION ALGORITHM FOR COVID-19 CONFIRMED CASES IN MALAYSIA : A PRELIMANARY STUDY AFTER THE RECOVERY MOVEMENT CONTROL ORDER by Tee, Bee Lin

    Published 2020
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    Final Year Project Report / IMRAD
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  3. 3
    Determination of dengue hemorrhagic fever disease factors using neural network and genetic algorithms / Yuliant Sibaroni, Sri Suryani Prasetiyowati and Iqbal Bahari Sudrajat

    Determination of dengue hemorrhagic fever disease factors using neural network and genetic algorithms / Yuliant Sibaroni, Sri Suryani Prasetiyowati and Iqbal Bahari Sudrajat by Yuliant, Sibaroni, Sri Suryani, Prasetiyowati, Iqbal Bahari, Sudrajat

    Published 2020
    “…The activation function in this neural network model then estimated using genetic algorithms. Determination of the best factor is carried out in a genetic algorithm by combining several parameters of the crossover probability (Pc) and mutation probability (Pm). …”
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  4. 4
    Using scatter search algorithm in implementing examination timetabling problem

    Using scatter search algorithm in implementing examination timetabling problem by Mohammed M.A., Ghani M.K.A., Mostafa S.A., Ibrahim D.A.

    Published 2023
    “…The study investigates the most suitable parameters of Scatter Search algorithm for the population based algorithm. …”
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  5. 5
    Parameter estimation of the cure fraction based on BCH model using left-censored data with covariates.

    Parameter estimation of the cure fraction based on BCH model using left-censored data with covariates. by I. Aljawadi, Bader Ahnad, Abu Bakar, Mohd Rizam, Ibrahim, Noor Akma, Midi, Habshah

    Published 2011
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  6. 6
    The transmission dynamic of the COVID 19 outbreak : a predictive dashboard

    The transmission dynamic of the COVID 19 outbreak : a predictive dashboard by Muhammad Fahmi Ahmad Zuber, Norhayati Rosli, Noryanti Muhammad

    Published 2021
    “…From the GUI, we can see that, when no or loose MCO is implemented or compliance of the public to the COVID 19 standard operating procedure (SOP), the infected case will increase rapidly up to 7.5 million. With strict MCO regulation or public obedient to the SOP, the infected case will decrease rapidly, but even after a long period of strict regulation, once the quarantine is stopped, the infected case will rise again. …”
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  7. 7
    Multi sensor network system for early detection and prediction of forest fires in southeast asia

    Multi sensor network system for early detection and prediction of forest fires in southeast asia by Kadir, Evizal Abdul, Alomainy, Akram H., Hanita, Daud, Maharani, Warih, Noryanti, Muhammad, Syafitri, Nesi

    Published 2023
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    Conference or Workshop Item
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  8. 8
    Cognitive knowledge-based model for adaptive feedback: A case in physics / Andrew Thomas Bimba

    Cognitive knowledge-based model for adaptive feedback: A case in physics / Andrew Thomas Bimba by Andrew Thomas, Bimba

    Published 2019
    “…Tailoring feedback according to student’s characteristics and other external parameters is a promising way to implement adaptation in computer-based learning environment. …”
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  9. 9
    The transmission dynamic of the COVID 19 outbreak: A predictive dashboard

    The transmission dynamic of the COVID 19 outbreak: A predictive dashboard by Muhammad Fahmi, Ahmad Zuber, Norhayati, Rosli, Noryanti, Muhammad

    Published 2021
    “…From the GUI, we can see that, when no or loose MCO is implemented or compliance of the public to the COVID 19 standard operating procedure (SOP), the infected case will increase rapidly up to 7.5 million. With strict MCO regulation or public obedient to the SOP, the infected case will decrease rapidly, but even after a long period of strict regulation, once the quarantine is stopped, the infected case will rise again. …”
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  10. 10
    Improving the synthetic coefficient of variation chart by incorporating side sensitivity

    Improving the synthetic coefficient of variation chart by incorporating side sensitivity by Lee, PingYin

    Published 2024
    “…In order to evaluate the performance of the proposed chart accurately due to run lengths that may be skewed, the analysis of the entire run length distribution was conducted, together with the Median Run Length (MRL) and Expected Median Run Length (EMRL). Algorithms to obtain optimal chart parameters are also formulated. …”
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