Results for 'Zaireeni Azmi'

6 found
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  1.  5
    “How Did We Choose?”: Understanding the Northern Female Voting Behaviour in Malaysia in the 14th General Election.Ummu Atiyah Ahmad Zakuan, Mohammad Azizuddin Mohd Sani, Norehan Abdullah & Zaireeni Azmi - 2018 - Intellectual Discourse 26 (2):859-882.
    Pakatan Harapan won the 14thGeneral Election held in May, 2018 in Malaysia. PH thus ended sixty-one years rule of Barisan Nasional.While the slogan of Malaysia Bahru, indicating changes to come in the country, became a popular slogan, one thing remained constant. This was the number of women contesting the GE-14 as candidates and the number of them who were elected was much less than the number of men contesting and getting elected in GE-14 although women represented slightly more than 50% (...)
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  2. Lebovits Mitpalmes: Timlul Ṿe-Teʻud Ṿideʼo Shel 13 Sheʻot Pulmus: Yeshaʻayahu Leibovits Mitpalmes Be-Hanḥayat Yonah Hadari ʻim Avi Śagi, Zeʼev Harvi, Mosheh Halberṭal, Tamar Ros, Yaʻaḳov Leṿinger, Eliʻezer Goldman, Asa Kasher, ʻazmi Basharah Ṿe-Yosi Ziv. [REVIEW]Yeshayahu Leibowitz - 2013 - Karmel.
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  3.  19
    Harmony Search Algorithm for Patient Admission Scheduling Problem.Iyad Abu Doush, Mohammed Azmi Al-Betar, Mohammed A. Awadallah, Abdelaziz I. Hammouri, Ra’ed M. Al-Khatib, Saba ElMustafa & Habes ALkhraisat - forthcoming - Journal of Intelligent Systems.
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  4.  9
    Awareness of Oral Medicine Among Medical Practitioners, Evidence of the Unbridged Interdisciplinary Gap.Mohammad S. Alrashdan, Azmi M. G. Darwazeh, Yazan Hassona, Dima H. Bader & Yousef S. Khader - 2019 - Journal of Evaluation in Clinical Practice 25 (1):142-147.
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  5.  12
    A Hybrid Nature-Inspired Artificial Bee Colony Algorithm for Uncapacitated Examination Timetabling Problems.Mohammed A. Awadallah, Mohammed Azmi Al-Betar, Ahamad Tajudin Khader & Asaju La’aro Bolaji - 2015 - Journal of Intelligent Systems 24 (1):37-54.
    This article presents a Hybrid Artificial Bee Colony for uncapacitated examination timetabling. The ABC algorithm is a recent metaheuristic population-based algorithm that belongs to the Swarm Intelligence technique. Examination timetabling is a hard combinatorial optimization problem of assigning examinations to timeslots based on the given hard and soft constraints. The proposed hybridization comes in two phases: the first phase hybridized a simple local search technique as a local refinement process within the employed bee operator of the original ABC, while the (...)
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  6.  4
    A Grey Wolf Optimizer for Text Document Clustering.Hasan Rashaideh, Ahmad Sawaie, Mohammed Azmi Al-Betar, Laith Mohammad Abualigah, Mohammed M. Al-Laham, Ra’ed M. Al-Khatib & Malik Braik - forthcoming - Journal of Intelligent Systems.
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