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Showing 61 - 80 results of 12,988 for search '(( ((algorithm used) OR (algorithm using)) function ) OR ( algorithms python function ))*', query time: 0.74s Refine Results
  1. 61
    S1 File -

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

    Published 2024
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  2. 62
    S1 Dataset -

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

    Published 2024
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  3. 63
    The mAP for all algorithms and 80% of the data used for training.

    The mAP for all algorithms and 80% of the data used for training. by Mohammad Amin Fraiwan (20469541)

    Published 2024
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  4. 64
    The mAP for all algorithms and 50% of the data used for training.

    The mAP for all algorithms and 50% of the data used for training. by Mohammad Amin Fraiwan (20469541)

    Published 2024
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  5. 65
    The mAP for all algorithms and 60% of the data used for training.

    The mAP for all algorithms and 60% of the data used for training. by Mohammad Amin Fraiwan (20469541)

    Published 2024
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  6. 66
    Results on solving TSS using different evolutionary and greedy algorithms.

    Results on solving TSS using different evolutionary and greedy algorithms. by Alexander Andreev (16822333)

    Published 2025
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  7. 67
    Penalty functions and estimators for some of the regularized regression methods used in this paper.

    Penalty functions and estimators for some of the regularized regression methods used in this paper. by Dongsheng Li (222712)

    Published 2024
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  8. 68
    A detailed process of iterative simulation coupled with bone density algorithm; (a) a function of stimulus and related bone density changes, and (b) iterative calculations of finite element analysis coupled with user’s subroutine for changes in bone density.

    A detailed process of iterative simulation coupled with bone density algorithm; (a) a function of stimulus and related bone density changes, and (b) iterative calculations of finit... by Hassan Mehboob (8960273)

    Published 2025
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  9. 69
    Calculation results of commonly used machine learning algorithm models.

    Calculation results of commonly used machine learning algorithm models. by Qianhui He (13522729)

    Published 2023
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  10. 70
    Example of use of the slightly off-axis strategies.

    Example of use of the slightly off-axis strategies. by Raul Castañeda (13932971)

    Published 2022
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  11. 71
    Comparison of PSOLFWM with other meta-heuristic algorithms using t-Test.

    Comparison of PSOLFWM with other meta-heuristic algorithms using t-Test. by Yong Gao (29929)

    Published 2023
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  12. 72
    Graph of convergence of PSO algorithm fitness function.

    Graph of convergence of PSO algorithm fitness function. by Mohammed F. Elnaggar (18297954)

    Published 2024
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  13. 73
    Reagents, software, and algorithms used in the study with their sources for result reproduction.

    Reagents, software, and algorithms used in the study with their sources for result reproduction. by Aanchal Yadav (14206853)

    Published 2024
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  14. 74
    The eVIP algorithm uses RNA-seq data to predict the function of somatic mutations.

    The eVIP algorithm uses RNA-seq data to predict the function of somatic mutations. by Alexis M. Thornton (11068403)

    Published 2021
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  15. 75
    Reward function related parameters.

    Reward function related parameters. by Honglei Pang (22693724)

    Published 2025
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  16. 76
    TITR Algorithm Overview. The workflow of the TITR algorithm is shown describing each step, the tools used, specific conditions, and the output.

    TITR Algorithm Overview. The workflow of the TITR algorithm is shown describing each step, the tools used, specific conditions, and the output. by Bradley Crone (19346873)

    Published 2024
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  17. 77
    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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  18. 78
    Crop yield prediction accuracy using different ML algorithms.

    Crop yield prediction accuracy using different ML algorithms. by Gourab Saha (8987405)

    Published 2025
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  19. 79
    Parameters to configure the multi-staged vascularization using the PDCCO algorithm.

    Parameters to configure the multi-staged vascularization using the PDCCO algorithm. by Eduardo G. Zilves (22209247)

    Published 2025
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  20. 80
    Objective functions (i.e., RMSEs) and time of optimization for different population sizes of the used algorithms.

    Objective functions (i.e., RMSEs) and time of optimization for different population sizes of the used algorithms. by Yao Peng (1928524)

    Published 2023
    “…<p>Objective functions (i.e., RMSEs) and time of optimization for different population sizes of the used algorithms.…”
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