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Showing 1 - 20 results of 1,393 for search '(( algorithm achieves function ) OR ( algorithm steps function ))', query time: 0.35s Refine Results
  1. 1
    Algorithm operation steps.

    Algorithm operation steps. by Junyan Wang (4738518)

    Published 2025
    “…To address these issues, this paper proposes an improved object detection algorithm named SCI-YOLO11, which optimizes the YOLO11 framework from three aspects: feature extraction, attention mechanism, and loss function. …”
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  2. 2
    3D visualization of the Rastrigin function from the CEC 2019 benchmark test functions.

    3D visualization of the Rastrigin function from the CEC 2019 benchmark test functions. by Mahmood A. Jumaah (22272371)

    Published 2025
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  3. 3
    Test function results.

    Test function results. by Ruyi Dong (9038174)

    Published 2025
    Subjects: “…dimensional benchmark functions…”
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  4. 4
    Benchmark test functions.

    Benchmark test functions. by Ruyi Dong (9038174)

    Published 2025
    Subjects: “…dimensional benchmark functions…”
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  5. 5
    Algorithm parameters.

    Algorithm parameters. by Ruyi Dong (9038174)

    Published 2025
    Subjects: “…dimensional benchmark functions…”
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  6. 6
    Flowchart of improved FOX optimization algorithm.

    Flowchart of improved FOX optimization algorithm. by Mahmood A. Jumaah (22272371)

    Published 2025
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  7. 7
    Benchmark test function results.

    Benchmark test function results. by Ruyi Dong (9038174)

    Published 2025
    Subjects: “…dimensional benchmark functions…”
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  8. 8
    Summary of recent and state-of-the-art optimization algorithms.

    Summary of recent and state-of-the-art optimization algorithms. by Mahmood A. Jumaah (22272371)

    Published 2025
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  9. 9
    High-dimensional benchmark test functions.

    High-dimensional benchmark test functions. by Ruyi Dong (9038174)

    Published 2025
    Subjects: “…dimensional benchmark functions…”
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  10. 10
    The performance results on benchmark test functions and real-world problems.

    The performance results on benchmark test functions and real-world problems. by Mahmood A. Jumaah (22272371)

    Published 2025
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  11. 11
    Flowchart of a single epoch in the FOX optimization algorithm [10].

    Flowchart of a single epoch in the FOX optimization algorithm [10]. by Mahmood A. Jumaah (22272371)

    Published 2025
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  12. 12
    Adaptive exploration and exploitation method of Improved FOX optimization algorithm.

    Adaptive exploration and exploitation method of Improved FOX optimization algorithm. by Mahmood A. Jumaah (22272371)

    Published 2025
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  13. 13
    Summary of classical and CEC-based benchmark test functions used in this study.

    Summary of classical and CEC-based benchmark test functions used in this study. by Mahmood A. Jumaah (22272371)

    Published 2025
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  14. 14
    The case of LLSKSO with the value of the weight coefficient <i>w</i> in steps of 0.1.

    The case of LLSKSO with the value of the weight coefficient <i>w</i> in steps of 0.1. by Ruyi Dong (9038174)

    Published 2025
    Subjects: “…dimensional benchmark functions…”
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  15. 15
    The training process for PV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs.

    The training process for PV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. by Hiam Alquran (17636906)

    Published 2025
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  16. 16
    The training process for AV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs.

    The training process for AV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. by Hiam Alquran (17636906)

    Published 2025
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  17. 17
    The training process for TV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs.

    The training process for TV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. by Hiam Alquran (17636906)

    Published 2025
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  18. 18
    The training process for MV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs.

    The training process for MV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. by Hiam Alquran (17636906)

    Published 2025
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  19. 19
    The Pseudo-Code of the IRBMO Algorithm.

    The Pseudo-Code of the IRBMO Algorithm. by Chenyi Zhu (9383370)

    Published 2025
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  20. 20
    Training accuracy/loss as a function of epochs for different datasets.

    Training accuracy/loss as a function of epochs for different datasets. by Hiam Alquran (17636906)

    Published 2025
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