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  1. 1
    Parallel distributed genetic algorithm development based on microcontrollers framework

    Parallel distributed genetic algorithm development based on microcontrollers framework by Krishnan P.S., Kiong T.S., Koh J.

    Published 2023
    Conference paper
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  2. 2
    Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions

    Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions by Saraswati, Galuh Wilujeng

    Published 2017
    “…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
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  3. 3
    Analysis using data mining techniques: the exploration and review data of diabetes patients / Syarifah Adilah Mohamed Yusoff ... [et al.]

    Analysis using data mining techniques: the exploration and review data of diabetes patients / Syarifah Adilah Mohamed Yusoff ... [et al.] by Mohamed Yusoff, Syarifah Adilah, Othman, Jamal, Johan, Elly Johana, Mohd Mydin, Azlina, Wan Mohamad, Wan Anisha

    Published 2025
    “…In examining the distribution of diabetes data, there are intricate interactions among the attributes. …”
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  4. 4
    A flexible and reliable architecture for mobile agent security

    A flexible and reliable architecture for mobile agent security by Ghossoon, Mohammed Waleed Al-Saadoon

    Published 2009
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  5. 5
    Comparative spatial analysis of enteric fever and leptospirosis in Kelantan, Malaysia using e-notifikasi surveillance database, 2016 – 2022

    Comparative spatial analysis of enteric fever and leptospirosis in Kelantan, Malaysia using e-notifikasi surveillance database, 2016 – 2022 by Hatta, Hazlienor Mohd

    Published 2023
    “…Diagnostic algorithms, targeted interventions and early warning systems can be implemented based on these findings to improve disease control and prevention strategies.…”
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  6. 6
    An Integrated Principal Component Analysis And Weighted Apriori-T Algorithm For Imbalanced Data Root Cause Analysis

    An Integrated Principal Component Analysis And Weighted Apriori-T Algorithm For Imbalanced Data Root Cause Analysis by Ong, Phaik Ling

    Published 2016
    “…Association rule mining (ARM) was introduced in RCA to extract frequently occur patterns, interesting correlations, associations or casual structures among items in the database. However, frequent pattern mining (FPM) using Apriori-like algorithms and support-confidence framework suffers from the myth of rare item problem in nature. …”
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  7. 7
    Development of MATLAB® GUI for infant cry signal analysis using FFT / Suzilawati Muhamud @ Kayat

    Development of MATLAB® GUI for infant cry signal analysis using FFT / Suzilawati Muhamud @ Kayat by Muhamud @ Kayat, Suzilawati

    Published 2008
    “…The development; of GUI requires a good understanding and skills in programming the M-File code and it was the most challenging part for this study.…”
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  8. 8
    Morphology, molecular characterization and habitat preference of harmful Benthic dinoflagellate gambierdiscus (Dinophyceae) in Malaysia / Nurin Izzati Mustapa

    Morphology, molecular characterization and habitat preference of harmful Benthic dinoflagellate gambierdiscus (Dinophyceae) in Malaysia / Nurin Izzati Mustapa by Nurin Izzati , Mustapa

    Published 2020
    “…Morphological information and the distribution of Gambierdiscus species were used to develop a comprehensive taxonomic database of Gambierdiscus, and a 3I web-based interactive identification key for species identification is presented. …”
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  9. 9
    A systematic review of recurrent neural network adoption in missing data imputation

    A systematic review of recurrent neural network adoption in missing data imputation by Nur Aqilah, Fadzil Akbar, Mohd Izham, Mohd Jaya, Mohd Faizal, Ab Razak, Nurul Aqilah, Zamri

    Published 2025
    “…This study aims to comprehensively evaluate recent RNN methods for missing data imputation, focusing on their strengths and weaknesses to provide a detailed understanding of the current landscape. A systematic literature review was conducted on RNN-based data imputation methods, covering research articles from 2013 to 2023 that were identified in the SCOPUS database. …”
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  10. 10
    A systematic review of recurrent neural network adoption in missing data imputation

    A systematic review of recurrent neural network adoption in missing data imputation by Nur Aqilah, Fadzil Akbar, Mohd Izham, Mohd Jaya, Mohd Faizal, Ab Razak, Nurul Aqilah, Zamri

    Published 2025
    “…This study aims to comprehensively evaluate recent RNN methods for missing data imputation, focusing on their strengths and weaknesses to provide a detailed understanding of the current landscape. A systematic literature review was conducted on RNN-based data imputation methods, covering research articles from 2013 to 2023 identified in the SCOPUS database. …”
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