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  1. 1

    Algorithm As A Problem Solving Technique For Teaching And Learning Of The Malay Language by Jano, Zanariah, Omar, Norliza, Nazir, Faridah

    Published 2019
    “…This conceptual teaching and learning algorithm was conducted in five steps namely the induction set; step 1; step 2; step 3; and enrichment and recovery. …”
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    Article
  2. 2

    Algorithm as a problem solving technique for teaching and learning of the Malay language by Nazir, Faridah, Jano, Zanariah, Omar, Norliza

    Published 2019
    “…This conceptual teaching and learning algorithm was conducted in five steps namely the induction set; step 1; step 2; step 3; and enrichment and recovery. …”
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    Proceeding Paper
  3. 3

    Algorithm as a problem solving technique for teaching and learning of the Malay language by Faridah Nazir, Zanariah Jano, Norliza Omar

    Published 2019
    “…This conceptual teaching and learning algorithm was conducted in five steps namely the induction set; step 1; step 2; step 3; and enrichment and recovery. …”
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    Article
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    Effectiveness of algorithm visualisation in studying complex algorithms: a case study using TRAKLA Ravie / Chandren Muniyandi, Ali Maroosi by Muniyandi, Chandren, Maroosi, Ali

    Published 2015
    “…Algorithm visualisation (AV) can be utilised to improve students ’programming and programme comprehension skills. …”
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    Article
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    Multi depot dynamic vehicle routing problem with stochastic road capacity for emergency medical supply delivery in humanitarian logistics by Anuar, Wadi Khalid

    Published 2022
    “…From this novel method, exact CPLEX computation is executed at every rollout decision epoch, based on two proposed reduced 2-stage stochastic programming ILP models (MDVRPSRC-2S1 and MDVRPSRC-2S2). …”
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    Thesis
  19. 19

    Current applications of machine learning in dentistry by Ghazali, Ahmad Badruddin, Reduwan, Nor Hidayah, Ibrahim, Roliana

    Published 2022
    “…ML programs can improve from experience automatically, unlike traditional computer programming, where every step of the program requires a written code (Mayo & Leung, 2018). …”
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    Book Chapter
  20. 20

    A multi-depot dynamic vehicle routing problem with stochastic road capacity: an MDP model and dynamic policy for post-decision state rollout algorithm in reinforcement learning by Anuar, Wadi Khalid, Lee, Lai Soon, Seow, Hsin-Vonn, Pickl, Stefan

    Published 2022
    “…An Approximate Dynamic Programming (ADP) solution method is adopted where the Post-Decision State Rollout Algorithm (PDS-RA) is applied as the lookahead approach. …”
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    Article