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Showing 61 - 80 results of 13,261 for search '(((( algorithm step function ) OR ( algorithm used functions ))) OR ( algorithm python function ))', query time: 1.26s Refine Results
  1. 61
    High-dimensional benchmark test functions.

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

    Published 2025
    Subjects: “…effective optimization algorithm…”
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  2. 62
    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. 63
    Test function results.

    Test function results. by Ruyi Dong (9038174)

    Published 2025
    Subjects: “…effective optimization algorithm…”
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  4. 64
    Count comparison of all output steps based on time performance.

    Count comparison of all output steps based on time performance. by Zhiqun Lin (1429501)

    Published 2023
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  5. 65
    Reward function related parameters.

    Reward function related parameters. by Honglei Pang (22693724)

    Published 2025
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  6. 66
    The proposed fuzzy model for objective function in CCR.

    The proposed fuzzy model for objective function in CCR. by Zhou He (10330007)

    Published 2023
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  7. 67
    Node matching step 1.

    Node matching step 1. by Shuwen Wang (457921)

    Published 2023
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  8. 68
    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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  9. 69
    Example of the CNF function for off-axis DHM holograms recorded in a non-telecentric configuration.

    Example of the CNF function for off-axis DHM holograms recorded in a non-telecentric configuration. by Raul Castañeda (13932971)

    Published 2022
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  10. 70
    IRBMO vs. meta-heuristic algorithms boxplot.

    IRBMO vs. meta-heuristic algorithms boxplot. by Chenyi Zhu (9383370)

    Published 2025
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  11. 71
    IRBMO vs. feature selection algorithm boxplot.

    IRBMO vs. feature selection algorithm boxplot. by Chenyi Zhu (9383370)

    Published 2025
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  12. 72
    Results of the application of different clustering algorithms to average functional connectivity from healthy subjects.

    Results of the application of different clustering algorithms to average functional connectivity from healthy subjects. by Francisco Páscoa dos Santos (16510676)

    Published 2023
    “…Hierarchical clustering was computed using the scikit learn module in Python. C) Dendrogram of averaged functional connectivity from healthy subjects. …”
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  13. 73
    Step by step workflow for PRLF model training and data scoring.

    Step by step workflow for PRLF model training and data scoring. by John Prindle (10774286)

    Published 2023
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  14. 74
    Automated diagnosis of heart valve degradation using novelty detection algorithms and machine learning

    Automated diagnosis of heart valve degradation using novelty detection algorithms and machine learning by Bernhard Vennemann (7434353)

    Published 2019
    “…In this article, we describe how unsupervised novelty detection algorithms can be used to automate the interpretation of blood flow data to improve outcomes through early detection of adverse cardiovascular events without requiring repeated check-ups in a clinical environment. …”
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  15. 75
    Benchmark test function results.

    Benchmark test function results. by Ruyi Dong (9038174)

    Published 2025
    Subjects: “…effective optimization algorithm…”
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  16. 76
    The network lifetime as a function of number of sensor nodes.

    The network lifetime as a function of number of sensor nodes. by Zhou He (10330007)

    Published 2023
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  17. 77
    Delivered packets as a function of number of sensor nodes.

    Delivered packets as a function of number of sensor nodes. by Zhou He (10330007)

    Published 2023
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  18. 78
    If datasets are small and/or noisy, linear-regression-based algorithms for identifying functional groups outperform more complex versions.

    If datasets are small and/or noisy, linear-regression-based algorithms for identifying functional groups outperform more complex versions. by Yuanchen Zhao (12905580)

    Published 2024
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  19. 79
    Parameters used to train the xgboost final models through the extreme gradient boosting algorithm in this work (n = 11,009 species).

    Parameters used to train the xgboost final models through the extreme gradient boosting algorithm in this work (n = 11,009 species). by Luis Javier Madrigal-Roca (17743035)

    Published 2024
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  20. 80
    Wavelet transform and scaling function.

    Wavelet transform and scaling function. by Menaa Nawaz (14304920)

    Published 2022
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