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Showing 21 - 40 results of 3,039 for search '(( algorithm ((harding function) OR (python function)) ) OR ( algorithm both function ))*', query time: 0.45s Refine Results
  1. 21
    Loss function value changes in CNN training changes with epochs for both training dataset and testing dataset.

    Loss function value changes in CNN training changes with epochs for both training dataset and testing dataset. by Jiaxi Wang (545353)

    Published 2020
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  2. 22
    The optimal solution set of NYN by using different algorithms.

    The optimal solution set of NYN by using different algorithms. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  3. 23
    The optimal solution set of HN by using different algorithms.

    The optimal solution set of HN by using different algorithms. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  4. 24
    FAR-1: A Fast Integer Reduction Algorithm Compared to Collatz and Half-Collatz

    FAR-1: A Fast Integer Reduction Algorithm Compared to Collatz and Half-Collatz by Faizan Ali (21689861)

    Published 2025
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  5. 25
    gmxapi usage examples.

    gmxapi usage examples. by M. Eric Irrgang (4487278)

    Published 2022
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  6. 26
    Time spent on image denoising using different algorithms.

    Time spent on image denoising using different algorithms. by Bingbing Li (461702)

    Published 2024
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  7. 27
    Comparison of image denoising results between two algorithms.

    Comparison of image denoising results between two algorithms. by Bingbing Li (461702)

    Published 2024
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  8. 28
    Python scripts used to model CPU errors by Poisson distribution density mass function and to draw graph of Poisson events (needs Matplot, SciPy, PysimpleGUI and NumPy)

    Python scripts used to model CPU errors by Poisson distribution density mass function and to draw graph of Poisson events (needs Matplot, SciPy, PysimpleGUI and NumPy) by Santhosh Kumar Rajamani (13023678)

    Published 2022
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  9. 29
    Denoising evaluation indicators for fingerprint images using different algorithms.

    Denoising evaluation indicators for fingerprint images using different algorithms. by Bingbing Li (461702)

    Published 2024
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  10. 30
    Structural changes of images after denoising using different algorithms.

    Structural changes of images after denoising using different algorithms. by Bingbing Li (461702)

    Published 2024
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  11. 31
    Verification of the in-line PS function.

    Verification of the in-line PS function. by Raul Castañeda (13932971)

    Published 2022
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  12. 32
    Available functions in the utility package.

    Available functions in the utility package. by Raul Castañeda (13932971)

    Published 2022
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  13. 33
    Comparison results of PSNR and MSE of color images under different algorithms.

    Comparison results of PSNR and MSE of color images under different algorithms. by Bingbing Li (461702)

    Published 2024
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  14. 34
    Comparison results of PSNR and MSE of gray images under different algorithms.

    Comparison results of PSNR and MSE of gray images under different algorithms. by Bingbing Li (461702)

    Published 2024
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  15. 35
    Available functions in the phase-shifting package.

    Available functions in the phase-shifting package. by Raul Castañeda (13932971)

    Published 2022
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  16. 36
    Available functions in the numerical propagation package.

    Available functions in the numerical propagation package. by Raul Castañeda (13932971)

    Published 2022
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  17. 37
    Available functions in the phase reconstruction package.

    Available functions in the phase reconstruction package. by Raul Castañeda (13932971)

    Published 2022
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  18. 38
    Performance of the greedy approximation algorithm.

    Performance of the greedy approximation algorithm. by Virgile Andreani (17087764)

    Published 2024
    Subjects: “…unlike approximation algorithms…”
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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
    The Precision-Recall curve of both the models.

    The Precision-Recall curve of both the models. by Aastha Vatsyayan (9981916)

    Published 2024
    “…</p><p>Results</p><p>Using an independent validation dataset of ACMG & AMP classified variants, as well as a patient set of functionally validated variants, we showed how both algorithms perform and can be used to classify large numbers of variants in clinical as well as research settings.…”
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