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  1. 1
    Systematic literature review: Trend analysis on the design of lightweight block cipher

    Systematic literature review: Trend analysis on the design of lightweight block cipher by Abdul Alif Zakaria, Azni Hazlizan Ab Halim, Farida Hazwani Mohd Ridzuan, Nur Hafiza Zakaria, Maslina Daud

    Published 2024
    journal::journal article
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  2. 2
    Modified Neh Heuristic On Makespan Reduction In Permutation Flow Shop Problems

    Modified Neh Heuristic On Makespan Reduction In Permutation Flow Shop Problems by Chong, Zheng Ziao

    Published 2015
    “…Throughout the past 30 years, the NEH heuristics developed by Nawaz, Enscore and Ham has been commonly regarded as the best heuristic for minimizing the makespan in permutation flow shops. …”
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    Thesis
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  3. 3
    A new starter sets generation method by fixing any element under exchange restriction

    A new starter sets generation method by fixing any element under exchange restriction by Karim, Sharmila, Ibrahim, Haslinda, Omar, Zurni, Sapiri, Hasimah

    Published 2016
    “…A new method is developed for starter sets generation namely STARSET2 based on exchange where any element can be selected randomly to be fixed.The result showed that no redundancy of starter sets is occurring and no equivalence starter sets are obtained.…”
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  4. 4
    Flowshop scheduling using artificial bee colony (ABC) algorithm with varying onlooker bees approaches

    Flowshop scheduling using artificial bee colony (ABC) algorithm with varying onlooker bees approaches by Mohd Pauzi, Nur Fazlinda

    Published 2015
    “…The main objective of this research is to develop a computer program with capability of manipulating the onlooker bee approaches in ABC Algorithm for solving flowshop scheduling problem. …”
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  5. 5
    A new method for starter sets generation by fixing any element

    A new method for starter sets generation by fixing any element by Karim, Sharmila, Ibrahim, Haslinda, Sapiri, Hasimah

    Published 2015
    “…A new method is developed for starter sets generation namely STARSET1 based on circular where any element can be selected randomly to be fixed. …”
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  6. 6
    Machine learning-based risk prediction model for medication administration errors in neonatal intensive care units: a prospective direct observational study

    Machine learning-based risk prediction model for medication administration errors in neonatal intensive care units: a prospective direct observational study by Henry Basil, Josephine, Lim, Wern Han, Syed Ahmad, Sharifah M., Menon Premakumar, Chandini, Mohd Tahir, Nurul Ain, Mhd Ali, Adliah, Seman, Zamtira, Ishak, Shareena, Mohamed Shah, Noraida

    Published 2024
    “…Feature importance was determined using the permutation-feature importance for robust comparison across ML algorithms. …”
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