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  1. 1
    Visualisation tool to study malaria transmission using network modelling

    Visualisation tool to study malaria transmission using network modelling by Wong,, Ji Yeh

    Published 2014
    “…Java was used to implement the visualisation tool. …”
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    Final Year Project Report / IMRAD
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  2. 2
    QTCP: an optimized and improved congestion control algorithm of high-speed TCP networks

    QTCP: an optimized and improved congestion control algorithm of high-speed TCP networks by Qureshi, Barkatullah, Othman, Mohamed, K. Subramaniam, Shamala, Abdul Hamid, Nor Asilah Wati

    Published 2011
    “…A modified algorithm has been developed by using an additive increase approach to grow window with normal speed and to increase scalability by putting constant value of stability of timeline in congestion avoidance phase. …”
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    Conference or Workshop Item
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  3. 3
    Traffic management algorithms for LEO satellite networks

    Traffic management algorithms for LEO satellite networks by Huyop @ Ayop, Fahrul Hakim

    Published 2016
    “…The performances of the proposed algorithms are then compared with the previously developed algorithms. …”
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    Thesis
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  4. 4
    Elastic-TCP: flexible congestion control algorithm to adapt for high-BDP networks

    Elastic-TCP: flexible congestion control algorithm to adapt for high-BDP networks by Alrshah, Mohamed Alhadi Mahmoud, Al-Moqri, Mohamed A., Othman, Mohamed

    Published 2019
    “…In order to increase TCP flexibility to adapt for high-BDP networks, we propose a new delay-based and RTT-independent congestion control algorithm (CCA), namely Elastic-TCP. It mainly contributes the novel window-correlated weighting function (WWF) to increase TCP bandwidth utilization over high-BDP networks. …”
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    Article
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  5. 5
    A Hybrid Metaheuristic Technique Based on Grey Wolf Optimisation, Symbiotic Organism Search, and Ant Colony Optimisation for Solving Multi-Objective Vehicle Routing Problems

    A Hybrid Metaheuristic Technique Based on Grey Wolf Optimisation, Symbiotic Organism Search, and Ant Colony Optimisation for Solving Multi-Objective Vehicle Routing Problems by Ary, Maxsi

    Published 2025
    “…The objectives of the multi-objective VRP addressed in this study are to minimise the total travel distance and the overall transportation cost. This study developed a hybrid metaheuristic algorithm involving grey wolf optimization, symbiotic organism search, and ant colony optimization (HMGSA) to address the multi-objective VRP. …”
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