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surface optimization » surface contamination (Expand Search), resource optimization (Expand Search), swarm optimization (Expand Search)
policy optimization » topology optimization (Expand Search), wolf optimization (Expand Search), process optimization (Expand Search)
data surface » earth surface (Expand Search), metal surface (Expand Search), total surface (Expand Search)
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Showing 41 - 60 results of 69 for search '(( binary data surface optimization algorithm ) OR ( binary time policy optimization algorithm ))', query time: 0.56s Refine Results
  1. 41
    Results of gradient boosting classifier.

    Results of gradient boosting classifier. by Balraj Preet Kaur (20370832)

    Published 2024
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  2. 42
    Results of Decision tree.

    Results of Decision tree. by Balraj Preet Kaur (20370832)

    Published 2024
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  3. 43
    Adaboost classifier results.

    Adaboost classifier results. by Balraj Preet Kaur (20370832)

    Published 2024
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  4. 44
    Results of Lightbgm.

    Results of Lightbgm. by Balraj Preet Kaur (20370832)

    Published 2024
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  5. 45
    Results of Lightbgm.

    Results of Lightbgm. by Balraj Preet Kaur (20370832)

    Published 2024
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  6. 46
    Feature selection process.

    Feature selection process. by Balraj Preet Kaur (20370832)

    Published 2024
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  7. 47
    Results of KNN.

    Results of KNN. by Balraj Preet Kaur (20370832)

    Published 2024
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  8. 48
    After upsampling.

    After upsampling. by Balraj Preet Kaur (20370832)

    Published 2024
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  9. 49
    Results of Extra tree.

    Results of Extra tree. by Balraj Preet Kaur (20370832)

    Published 2024
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  10. 50
    Gradient boosting classifier results.

    Gradient boosting classifier results. by Balraj Preet Kaur (20370832)

    Published 2024
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  11. 51
    An Example of a WPT-MEC Network.

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

    Published 2025
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  12. 52
    Related Work Summary.

    Related Work Summary. by Hend Bayoumi (22693738)

    Published 2025
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  13. 53
    Simulation parameters.

    Simulation parameters. by Hend Bayoumi (22693738)

    Published 2025
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  14. 54
    Training losses for N = 10.

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

    Published 2025
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  15. 55
    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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  16. 56
    Normalized computation rate for N = 10.

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

    Published 2025
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  17. 57
    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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  18. 58
    Summary of Notations Used in this paper.

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

    Published 2025
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  19. 59
    Data_Sheet_1_Crystal Structure Prediction of Binary Alloys via Deep Potential.PDF

    Data_Sheet_1_Crystal Structure Prediction of Binary Alloys via Deep Potential.PDF by Haidi Wang (9694004)

    Published 2020
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  20. 60
    Improved support vector machine classification algorithm based on adaptive feature weight updating in the Hadoop cluster environment

    Improved support vector machine classification algorithm based on adaptive feature weight updating in the Hadoop cluster environment by Jianfang Cao (1881379)

    Published 2019
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