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Showing 61 - 80 results of 5,183 for search '(((( algorithm value function ) OR ( algorithm wave function ))) OR ( algorithm python function ))', query time: 0.50s Refine Results
  1. 61
    Changes in FID values of different algorithms.

    Changes in FID values of different algorithms. by Xiaojun Wang (50332)

    Published 2025
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  2. 62
    Comparison of SSIM values of different algorithms.

    Comparison of SSIM values of different algorithms. by Xiaojun Wang (50332)

    Published 2025
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  3. 63
    Changes in loss values for different algorithms.

    Changes in loss values for different algorithms. by Xiaojun Wang (50332)

    Published 2025
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  4. 64
    The results of 12 benchmarking functions of the maximum fitness function values.

    The results of 12 benchmarking functions of the maximum fitness function values. by Chuang Zhang (2199421)

    Published 2023
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  5. 65
    A Python Package for the Localization of Protein Modifications in Mass Spectrometry Data

    A Python Package for the Localization of Protein Modifications in Mass Spectrometry Data by Anthony S. Barente (14035175)

    Published 2022
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  6. 66
    Networking Chemicals Flows: Efficiency–Value–Environment Functionalized Symbiosis Algorithms and Application

    Networking Chemicals Flows: Efficiency–Value–Environment Functionalized Symbiosis Algorithms and Application by Yizheng Lyu (17346506)

    Published 2023
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  7. 67
    Networking Chemicals Flows: Efficiency–Value–Environment Functionalized Symbiosis Algorithms and Application

    Networking Chemicals Flows: Efficiency–Value–Environment Functionalized Symbiosis Algorithms and Application by Yizheng Lyu (17346506)

    Published 2023
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  8. 68
    Networking Chemicals Flows: Efficiency–Value–Environment Functionalized Symbiosis Algorithms and Application

    Networking Chemicals Flows: Efficiency–Value–Environment Functionalized Symbiosis Algorithms and Application by Yizheng Lyu (17346506)

    Published 2023
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  9. 69
    P -values for SGHHO and other reported algorithms by Wilcoxon test on the benchmark function.

    P -values for SGHHO and other reported algorithms by Wilcoxon test on the benchmark function. by Qiong Wu (84327)

    Published 2023
    “…<p>P -values for SGHHO and other reported algorithms by Wilcoxon test on the benchmark function.…”
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  10. 70
    An expectation-maximization algorithm for finding noninvadable stationary states.

    An expectation-maximization algorithm for finding noninvadable stationary states. by Robert Marsland (8616483)

    Published 2020
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  11. 71
    Python implementation of the Trajectory Adaptive Multilevel Sampling algorithm for rare events and improvements

    Python implementation of the Trajectory Adaptive Multilevel Sampling algorithm for rare events and improvements by Pascal Wang (10130612)

    Published 2021
    “…<div>This directory contains Python 3 scripts implementing the Trajectory Adaptive Multilevel Sampling algorithm (TAMS), a variant of Adaptive Multilevel Splitting (AMS), for the study of rare events. …”
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  12. 72
    Values set for control parameters of compared algorithms.

    Values set for control parameters of compared algorithms. by Xingtao Wu (22139242)

    Published 2025
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  13. 73
    PFC value of algorithms on two datasets.

    PFC value of algorithms on two datasets. by Xing Chen (140292)

    Published 2024
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  14. 74
    A heatmap of the examined values for Jaya algorithm parameters.

    A heatmap of the examined values for Jaya algorithm parameters. by Fadi K. Dib (5204807)

    Published 2023
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  15. 75
    Comparison results on benchmark functions with traditional algorithms.

    Comparison results on benchmark functions with traditional algorithms. by Xiaoyi Zhang (577299)

    Published 2023
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  16. 76
    The results of 12 benchmarking functions of the best (minimum) fitness function values.

    The results of 12 benchmarking functions of the best (minimum) fitness function values. by Chuang Zhang (2199421)

    Published 2023
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  17. 77
    The results of 12 benchmarking functions in terms of the average fitness function values.

    The results of 12 benchmarking functions in terms of the average fitness function values. by Chuang Zhang (2199421)

    Published 2023
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  18. 78
    Objective function value statistics.

    Objective function value statistics. by Chao Li (145513)

    Published 2023
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  19. 79
    Location schemes and objective function values for different values of the confidence level.

    Location schemes and objective function values for different values of the confidence level. by Yangjun Ren (17691912)

    Published 2024
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  20. 80
    Ridge wave transformation flowchart.

    Ridge wave transformation flowchart. by Bingbing Li (461702)

    Published 2024
    “…Unlike traditional threshold functions, the improved threshold function is a continuous function that can avoid the pseudo Gibbs effect after image denoising and improve image quality. …”
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