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Showing 61 - 80 results of 389 for search '(((( algorithm setup function ) OR ( algorithm api function ))) OR ( algorithm python function ))*', query time: 1.00s Refine Results
  1. 61
    The comparison in gantt result.

    The comparison in gantt result. by Dawei Wang (471687)

    Published 2025
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  2. 62
    Working time of different processes (<i>h</i>).

    Working time of different processes (<i>h</i>). by Dawei Wang (471687)

    Published 2025
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  3. 63
    Optimize comparison of whether cto set penalty values.

    Optimize comparison of whether cto set penalty values. by Dawei Wang (471687)

    Published 2025
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  4. 64
    Pseudocode of IHWGWO.

    Pseudocode of IHWGWO. by Dawei Wang (471687)

    Published 2025
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  5. 65
    Optimize process data and final results

    Optimize process data and final results by Dawei Wang (471687)

    Published 2025
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  6. 66
    Vehicle-related parameters.

    Vehicle-related parameters. by Dawei Wang (471687)

    Published 2025
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  7. 67
    Device parameter list.

    Device parameter list. by Dawei Wang (471687)

    Published 2025
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  8. 68
    The process of IHWGWO.

    The process of IHWGWO. by Dawei Wang (471687)

    Published 2025
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  9. 69
    The computational results of the case.

    The computational results of the case. by Dawei Wang (471687)

    Published 2025
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  10. 70
    Diagram of the proposed solution algorithm.

    Diagram of the proposed solution algorithm. by Vytautas Abromavičius (22008573)

    Published 2025
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  11. 71
    The performance of the contralateral temporo-frontal setup across virtual time.

    The performance of the contralateral temporo-frontal setup across virtual time. by Janne J. Luppi (17804327)

    Published 2024
    “…<p>All stimulation setups were begun at t = 10, in order to give the ADD algorithm time to cause intitial damage. …”
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  12. 72
    The performance of the contralateral parieto-frontal setups across virtual time.

    The performance of the contralateral parieto-frontal setups across virtual time. by Janne J. Luppi (17804327)

    Published 2024
    “…<p>All stimulation setups were begun at t = 10, in order to give the ADD algorithm time to cause intitial damage. …”
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  13. 73
    Effect of the transmission probability function on epidemic spread.

    Effect of the transmission probability function on epidemic spread. by Soler Gabriela Bayolo (21011810)

    Published 2025
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  14. 74
    Illustration of the function of movement definition in NeuroMotion.

    Illustration of the function of movement definition in NeuroMotion. by Shihan Ma (9362796)

    Published 2024
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  15. 75
    Overall setup for the paper.

    Overall setup for the paper. by Antoine Loriette (14564396)

    Published 2023
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  16. 76
    Experimental setup to test word classification task performances.

    Experimental setup to test word classification task performances. by Dario Dematties (6812390)

    Published 2019
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  17. 77
    Parselmouth for bioacoustics: automated acoustic analysis in Python

    Parselmouth for bioacoustics: automated acoustic analysis in Python by Yannick Jadoul (11498813)

    Published 2023
    “…Five years ago, the Python package Parselmouth was released to provide easy and intuitive access to all functionality in the Praat software. …”
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  18. 78
    libEnsemble: New capabilities for coordinating dynamic ensembles of calculations

    libEnsemble: New capabilities for coordinating dynamic ensembles of calculations by John-Luke Navarro (9024008)

    Published 2023
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  19. 79
    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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  20. 80
    ADT: A Generalized Algorithm and Program for Beyond Born–Oppenheimer Equations of “<i>N</i>” Dimensional Sub-Hilbert Space

    ADT: A Generalized Algorithm and Program for Beyond Born–Oppenheimer Equations of “<i>N</i>” Dimensional Sub-Hilbert Space by Koushik Naskar (7510592)

    Published 2020
    “…In order to overcome such shortcoming, we develop a generalized algorithm, “ADT” to generate the nonadiabatic equations through symbolic manipulation and to construct highly accurate diabatic surfaces for molecular processes involving excited electronic states. …”
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