Search Results - (( java implementation graph algorithm ) OR ( evolution organization learning algorithm ))

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  1. 1

    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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    Thesis
  2. 2

    An improved negative selection algorithm based on the hybridization of cuckoo search and differential evolution for anomaly detection by Ayodele Nojeem, Lasisi

    Published 2018
    “…In comparison with V-Detectors, cuckoo search, differential evolution, support vector machine, artificial neural network, na¨ıve bayes, and k-NN, experimental results demonstrates that CSDE-V-Detectors outperforms other algorithms with an average detection rate of 95:30% on all the datasets. …”
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  3. 3

    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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  5. 5

    The level of effectiveness of healthcare education on TikTok by Khairul Azli, Najmi Nafis, Mohd Rizal, Siti Hana Natasya, Ridzuan, Abdul Rauf, Baharuddin, Nur Umairah Bazla, Mahlin, Muhamad Aiman, Sataria, Iskhandar Ishraf, Jamri, Mohamad Hafifi

    Published 2025
    “…This research highlights TikTok's evolution into a hub for credible healthcare information, fostering active viewer participation and creating a dynamic learning environment. …”
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  6. 6

    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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