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Showing 61 - 80 results of 15,667 for search '(( algorithm before function ) OR ( ((algorithm python) OR (algorithm a)) function ))*', query time: 0.79s Refine Results
  1. 61
    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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  2. 62
    STD and STD/mean as a function of <i>N</i><sub><i>p</i></sub> for distribution of points with added noise.

    STD and STD/mean as a function of <i>N</i><sub><i>p</i></sub> for distribution of points with added noise. by Luca Maria Del Bono (20479625)

    Published 2024
    “…<p>STD (a) and STD/mean (b) as a function of <i>N</i><sub><i>p</i></sub> for distribution of points with added noise, before and after GD. …”
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  3. 63
    Comparison of accuracies before and after clause boundaries.

    Comparison of accuracies before and after clause boundaries. by Sam Tilsen (406665)

    Published 2021
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  4. 64
    Automated correction of fluorescence bleedthrough in the larval eye.

    Automated correction of fluorescence bleedthrough in the larval eye. by Sebastian M. Bernasek (8525829)

    Published 2020
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  5. 65
    Fly-QMA: Automated analysis of mosaic imaginal discs in <i>Drosophila</i>

    Fly-QMA: Automated analysis of mosaic imaginal discs in <i>Drosophila</i> by Sebastian M. Bernasek (8525829)

    Published 2020
    “…<div><p>Mosaic analysis provides a means to probe developmental processes in situ by generating loss-of-function mutants within otherwise wildtype tissues. …”
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  6. 66
    Comparison of model feature extraction before and after adding SPDConv.

    Comparison of model feature extraction before and after adding SPDConv. by Jia Li (160557)

    Published 2025
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  7. 67
    Schematics for gmxapi operations.

    Schematics for gmxapi operations. by M. Eric Irrgang (4487278)

    Published 2022
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  8. 68
    gmxapi usage examples.

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

    Published 2022
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  9. 69
    Probably pathogenic variants (algorithms).

    Probably pathogenic variants (algorithms). by Felipe Fidalgo (642532)

    Published 2022
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  10. 70
    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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  11. 71
    Patient characteristics and covariate balance before and after propensity matching.

    Patient characteristics and covariate balance before and after propensity matching. by Srilekha Sridhara (15374444)

    Published 2023
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  12. 72
    Loss function and accuracy during training.

    Loss function and accuracy during training. by Shuang Guo (294074)

    Published 2024
    “…Based on the prediction results, a Prediction-based SFV Active Reconfiguration (PSAR) algorithm is proposed to achieve seamless SFC migration and routing update before the user experience quality degrades, ensuring network consistency and high quality service. …”
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  13. 73
    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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  14. 74
    Distribution of pro-group sizes before and after selecting the top 10 features.

    Distribution of pro-group sizes before and after selecting the top 10 features. by Miray Unlu Yazici (14792680)

    Published 2025
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  15. 75
    Contrast enhancement of digital images using dragonfly algorithm

    Contrast enhancement of digital images using dragonfly algorithm by Soumyajit Saha (19726163)

    Published 2024
    “…Comparisons with state-of-art methods ensure the superiority of the proposed algorithm. The Python implementation of the proposed approach is available in this <a href="https://github.com/somnath796/DA_contrast_enhancement" target="_blank">Github repository</a>.…”
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  16. 76
    The phases of automated BHV monitoring.

    The phases of automated BHV monitoring. by Bernhard Vennemann (7434353)

    Published 2019
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  17. 77
    Available functions in the utility package.

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

    Published 2022
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  18. 78
    Baseline characteristics of recipients’ comparison before and after data match by the unsupervised machine learning algorithm.

    Baseline characteristics of recipients’ comparison before and after data match by the unsupervised machine learning algorithm. by Mahmoudreza Moein (22127153)

    Published 2025
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  19. 79
    A comparison between the static Python-based visualizations of the p65 activity in activated fibroblasts and the dynamic, HTML-based visualizations that use these same reduction methods.

    A comparison between the static Python-based visualizations of the p65 activity in activated fibroblasts and the dynamic, HTML-based visualizations that use these same reduction me... by Hector Torres (11708207)

    Published 2025
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  20. 80
    Available functions in the phase-shifting package.

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

    Published 2022
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