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Showing 21 - 40 results of 70 for search '(( binary m process optimization algorithm ) OR ( primary data driven optimization algorithm ))*', query time: 0.54s Refine Results
  1. 21
    Prediction results of individual models.

    Prediction results of individual models. by Ahmed M. Elshewey (21463867)

    Published 2025
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  2. 22
    A* Path-Finding Algorithm to Determine Cell Connections

    A* Path-Finding Algorithm to Determine Cell Connections by Max Weng (22327159)

    Published 2025
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  3. 23
    The illustration depicts our CQ-CNN architecture for binary image classification.

    The illustration depicts our CQ-CNN architecture for binary image classification. by Mominul Islam (3513758)

    Published 2025
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  4. 24
    Performance Comparison of State-of-the-Art WPT-MEC Offloading Methods.

    Performance Comparison of State-of-the-Art WPT-MEC Offloading Methods. by Hend Bayoumi (22693738)

    Published 2025
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  5. 25
    CDF of task latency, approximated as the inverse of the achieved computation rate.

    CDF of task latency, approximated as the inverse of the achieved computation rate. by Hend Bayoumi (22693738)

    Published 2025
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  6. 26
    The evolution of the Wireless Power Transfer (WPT) time fraction β over simulation frames.

    The evolution of the Wireless Power Transfer (WPT) time fraction β over simulation frames. by Hend Bayoumi (22693738)

    Published 2025
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  7. 27
    Comparison between Bisection and Newton-Raphson in terms of (A) total time consumed, and (B) maximum computation rate.

    Comparison between Bisection and Newton-Raphson in terms of (A) total time consumed, and (B) maximum computation rate. by Hend Bayoumi (22693738)

    Published 2025
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  8. 28
    An Example of a WPT-MEC Network.

    An Example of a WPT-MEC Network. by Hend Bayoumi (22693738)

    Published 2025
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  9. 29
    Related Work Summary.

    Related Work Summary. by Hend Bayoumi (22693738)

    Published 2025
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  10. 30
    Simulation parameters.

    Simulation parameters. by Hend Bayoumi (22693738)

    Published 2025
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  11. 31
    Training losses for N = 10.

    Training losses for N = 10. by Hend Bayoumi (22693738)

    Published 2025
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  12. 32
    Normalized computation rate for N = 10.

    Normalized computation rate for N = 10. by Hend Bayoumi (22693738)

    Published 2025
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  13. 33
    Summary of Notations Used in this paper.

    Summary of Notations Used in this paper. by Hend Bayoumi (22693738)

    Published 2025
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  14. 34
    Wilcoxon test results for feature selection.

    Wilcoxon test results for feature selection. by Amal H. Alharbi (21755906)

    Published 2025
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  15. 35
    Feature selection metrics and their definitions.

    Feature selection metrics and their definitions. by Amal H. Alharbi (21755906)

    Published 2025
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  16. 36
    Statistical summary of all models.

    Statistical summary of all models. by Amal H. Alharbi (21755906)

    Published 2025
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  17. 37
    Feature selection results.

    Feature selection results. by Amal H. Alharbi (21755906)

    Published 2025
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  18. 38
    ANOVA test for feature selection.

    ANOVA test for feature selection. by Amal H. Alharbi (21755906)

    Published 2025
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  19. 39
    Classification performance of ML and DL models.

    Classification performance of ML and DL models. by Amal H. Alharbi (21755906)

    Published 2025
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  20. 40
    Dataset 1: Zip file containing the figures of the presented methods and results in jpeg files

    Dataset 1: Zip file containing the figures of the presented methods and results in jpeg files by Suchismita Behera (22027316)

    Published 2025
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