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  1. 1
    Implementation of locust inspired scheduling algorithm with huge number of servers for energy efficiency in a cloud datacenter

    Implementation of locust inspired scheduling algorithm with huge number of servers for energy efficiency in a cloud datacenter by Azhar, Nur Huwaina

    Published 2019
    “…In the benchmark paper, the result of implementation of LACE algorithm in 400, 600, 800 and 1000 servers were plotted at different graphs. …”
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  2. 2
    Priority and dynamic quantum time algorithms for central processing unit scheduling

    Priority and dynamic quantum time algorithms for central processing unit scheduling by Mohammed, Maysoon A.

    Published 2018
    “…The proposed algorithms (Priority Dynamic Quantum Time and Multi Priority Dynamic Quantum Time Algorithms) are implemented using JAVA programming language and validated using Key Performance Indicators equations. …”
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  3. 3
    Solar Photovoltaic Maximum Power Point Tracking via Predictive Technique

    Solar Photovoltaic Maximum Power Point Tracking via Predictive Technique by ‘Ainaa Nur Batrisyia binti Abdul Rahman, -

    Published 2022
    “…The first stage of this study is to develop the MPPT algorithm that are commonly divided into six types; Perturb and Observe (P&O), Incremental Conductance (INC), Fractional Open Circuit Voltage (FOVC), Fractional Short Circuit Current (FSCC), Artificial Neural (ANN) and Fuzzy Logic Control (FLC). …”
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    Final Year Project Report / IMRAD
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  4. 4
    An Improved Water-Filling Algorithm Based On Power Allocation In Network Mimo

    An Improved Water-Filling Algorithm Based On Power Allocation In Network Mimo by Mohd Kasim, Noor Shahida, Nordin, Rosdiadee, Ismail, Mahamod

    Published 2020
    “…Moreover, this study focuses on the design and development of a novel power allocation algorithm, which is an extension to the previous Improved Water-Filling algorithm (IWF), namely, Low-Complexity Improved Water-Filling algorithm (LC-IWF). …”
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  5. 5
    Predictive modelling of nanofluids thermophysical properties using machine learning

    Predictive modelling of nanofluids thermophysical properties using machine learning by Olanrewaju, Alade Ibrahim

    Published 2021
    “…This thesis aimed to develop machine learning algorithms to estimate the thermophysical properties of commonly used nanofluids. …”
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  6. 6
    Evolutionary cost-cognizant regression test case prioritization for object-oriented programs

    Evolutionary cost-cognizant regression test case prioritization for object-oriented programs by Bello, AbdulKarim

    Published 2019
    “…Therefore, this study proposed a cost-cognizant TCP approach for object-oriented software that uses path-based integration testing to identify the possible execution path extracted from the Java System Dependence Graph (JSDG) model of the source code using forward slicing technique. …”
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  7. 7
    Investigate the Relation between Particle Size Distribution (PSD) Using Image Analysis Method and Chemical Oxygen Demand (COD) In POME Sample

    Investigate the Relation between Particle Size Distribution (PSD) Using Image Analysis Method and Chemical Oxygen Demand (COD) In POME Sample by Mohd Fathilah, Anis Afiqah

    Published 2015
    “…By conducting this research, image analysis algorithm can be developed in monitor the particle size, and the relation between PSD and COD can be observed.…”
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    Final Year Project
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  8. 8
    Postal address handwritten recognition using convolutional neural network / Nur Hasyimah Abd Aziz

    Postal address handwritten recognition using convolutional neural network / Nur Hasyimah Abd Aziz by Abd Aziz, Nur Hasyimah

    Published 2020
    “…Next, the system was successfully developed by implementing the best CNN model as a classifier. …”
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  9. 9
    Synthesis of YBa₂Cu₄O8 superconductor and analysis of electronic properties in comparison to other YBCO family compounds

    Synthesis of YBa₂Cu₄O8 superconductor and analysis of electronic properties in comparison to other YBCO family compounds by Cheong, Choon Min

    Published 2020
    “…Ca with about the same atomic radius as Y did not affect much the lattice constant and volume of the compounds. …”
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