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  1. 1
    Sentiment mining in twitter for early depression detection / Najihah Salsabila Ishak

    Sentiment mining in twitter for early depression detection / Najihah Salsabila Ishak by Ishak, Najihah Salsabila

    Published 2021
    “…A classifier model is developed using Naive Bayes characteristics. A comparison between built-in Scikit Learn Naive Bayes algorithm, and the scratch Naive Bayes algorithm is used to measure its effectiveness in terms of accuracy. …”
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  2. 2
    Reliability assessment of generating systems with wind power penetration via BPSO

    Reliability assessment of generating systems with wind power penetration via BPSO by Kadhem, Athraa Ali, Noor Izzri, Abdul Wahab, Ishak, Aris, Jasronita, Jasni, Abdalla, Ahmed N., Matsukawa, Yoshiaki

    Published 2017
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    Reliability assessment of generating systems with wind power penetration via BPSO

    Reliability assessment of generating systems with wind power penetration via BPSO by Kadhem, Athraa Ali, Abdul Wahab, Noor Izzri, Aris, Ishak, Jasni, Jasronita, Abdalla, Ahmed N., Matsukawa, Yoshiaki

    Published 2017
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  4. 4
    LINGUISTIC FUZZY MODELING IN LASER MACHINING QUALITY EVALUATION

    LINGUISTIC FUZZY MODELING IN LASER MACHINING QUALITY EVALUATION by Sivarao, Subramonian

    Published 2007
    “…The aim of this scientific research is to design knowledge based linguistic rules, algorithm, architecture & learning ability and further develop fuzzy model for laser machining kerf edge quality prediction. …”
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  5. 5
    Role of AI in Combating and Perpetuating Fake News

    Role of AI in Combating and Perpetuating Fake News by Safiyyah Ahmad Sabri, Siti Suriani Othman, Eizan Azira Mat Sharif, Kartini Kamaruzzaman

    Published 2024
    conference output::conference proceedings::conference paper
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  6. 6
    Portfolio optimization with percentage error-based fuzzy random data for industrial production

    Portfolio optimization with percentage error-based fuzzy random data for industrial production by Othman, Mohammad Haris Haikal, Arbaiy, Nureize, Che Lah, Muhammad Shukri, Pei, Chun Lin

    Published 2024
    “…The findings underscore the effectiveness of the proposed methodology in managing uncertainties, reducing errors in model development stages, and providing a robust framework for optimal portfolio selection tailored to industrial production contexts, thereby enhancing decision-making processes in uncertain environments…”
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  7. 7
    Portfolio optimization with percentage error-based fuzzy random data for industrial production

    Portfolio optimization with percentage error-based fuzzy random data for industrial production by Othman, Mohammad Haris Haikal, Arbaiy, Nureize, Che Lah, Muhammad Shukri, Lin, Pei-Chun

    Published 2024
    “…The findings underscore the effectiveness of the proposed methodology in managing uncertainties, reducing errors in model development stages, and providing a robust framework for optimal portfolio selection tailored to industrial production contexts, thereby enhancing decision-making processes in uncertain environments.…”
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