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Showing 21 - 40 results of 14,115 for search '(( algorithm python function ) OR ((( algorithm from function ) OR ( algorithm based function ))))', query time: 0.64s Refine Results
  1. 21
    S1 File -

    S1 File - by Yuh-Chin T. Huang (17867207)

    Published 2024
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  2. 22
    S1 Dataset -

    S1 Dataset - by Yuh-Chin T. Huang (17867207)

    Published 2024
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  3. 23
    Procedure of the DCT-based EIT algorithm.

    Procedure of the DCT-based EIT algorithm. by Rongqing Chen (249906)

    Published 2023
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  4. 24
    Comparison of details of different algorithms.

    Comparison of details of different algorithms. by Hao Wu (65943)

    Published 2024
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  5. 25
    Structure of the LMPEC algorithm model.

    Structure of the LMPEC algorithm model. by Hao Wu (65943)

    Published 2024
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  6. 26
    DMTD algorithm.

    DMTD algorithm. by Yunhu Huang (21402795)

    Published 2025
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  7. 27
    Tuned parameters of algorithms.

    Tuned parameters of algorithms. by Kaveh Faraji Googerdchi (18778727)

    Published 2024
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  8. 28
    Search-based testing (Genetic Algorithm) - Chapter 11 of the book "Software Testing Automation"

    Search-based testing (Genetic Algorithm) - Chapter 11 of the book "Software Testing Automation" by Saeed Parsa (13893726)

    Published 2022
    “…</p> <p><br></p> <p>3. Algorithm</p> <p>Below is the main body of the test data generator program:</p> <p>  </p> <p>the main body of a Python program to generate test data for Python functions.…”
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  9. 29
    Data from: Structural and Functional Analysis of Multi-interface Domains

    Data from: Structural and Functional Analysis of Multi-interface Domains by ZHAO Liang (8657694)

    Published 2012
    “…This work applies graph theory and algorithms to discover fingerprints for the multiple interfaces of a domain and to establish associations between the interfaces and functions, based on a huge set of multi-interface proteins from PDB. …”
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  10. 30
    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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  11. 31
    Detailed information of benchmark functions.

    Detailed information of benchmark functions. by Guangwei Liu (181992)

    Published 2024
    “…In Case 1, the GJO-GWO algorithm addressed eight complex benchmark functions. …”
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  12. 32
    CEC2017 basic functions.

    CEC2017 basic functions. by Tengfei Ma (597633)

    Published 2025
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  13. 33
    An Algorithmic Approach Based on Data Trees and Genetic Algorithms to Understanding Charged and Neutral Metal Nanocluster Growth

    An Algorithmic Approach Based on Data Trees and Genetic Algorithms to Understanding Charged and Neutral Metal Nanocluster Growth by Chelsea M. Mueller (8351745)

    Published 2022
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  14. 34
    Flexible CDOCKER: Hybrid Searching Algorithm and Scoring Function with Side Chain Conformational Entropy

    Flexible CDOCKER: Hybrid Searching Algorithm and Scoring Function with Side Chain Conformational Entropy by Yujin Wu (2901128)

    Published 2021
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  15. 35
    Flexible CDOCKER: Hybrid Searching Algorithm and Scoring Function with Side Chain Conformational Entropy

    Flexible CDOCKER: Hybrid Searching Algorithm and Scoring Function with Side Chain Conformational Entropy by Yujin Wu (2901128)

    Published 2021
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  16. 36
    Pseudocode of the BBAC_I Algorithm.

    Pseudocode of the BBAC_I Algorithm. by Zezhi Lin (22521663)

    Published 2025
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  17. 37
    Execution Steps of the EOF Algorithm.

    Execution Steps of the EOF Algorithm. by Zezhi Lin (22521663)

    Published 2025
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  18. 38
    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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  19. 39
    Example of landmark registration to align ‘peaks’ of high density in the probability density function (PDF) of CD4 expression on blood T cells for a target distribution and chosen reference.

    Example of landmark registration to align ‘peaks’ of high density in the probability density function (PDF) of CD4 expression on blood T cells for a target distribution and chosen... by Ross J. Burton (10941910)

    Published 2021
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  20. 40
    AUC scores of anomaly detection algorithms.

    AUC scores of anomaly detection algorithms. by GaoXiang Zhao (21499525)

    Published 2025
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