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Showing 61 - 80 results of 4,911 for search '(((( algorithm key functional ) OR ( algorithm l function ))) OR ( algorithm python function ))', query time: 0.80s Refine Results
  1. 61
    The values of distance (<i>l</i><sub><i>i,j</i></sub>) and running time (<i>h</i><sub><i>i,j</i></sub>) of each section <i>l</i><sub><i>i,j</i></sub><i>h</i><sub><i>i,j</i></sub>.

    The values of distance (<i>l</i><sub><i>i,j</i></sub>) and running time (<i>h</i><sub><i>i,j</i></sub>) of each section <i>l</i><sub><i>i,j</i></sub><i>h</i><sub><i>i,j</i></sub>. by Zhipeng Huang (1759759)

    Published 2025
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  2. 62
    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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  3. 63
    Isologs, function and residue information of 12 key proteins in MPV replication.

    Isologs, function and residue information of 12 key proteins in MPV replication. by Huaichuan Duan (6458477)

    Published 2024
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  4. 64
    Functional effect prediction of FUS mutations by ten nsSNP prediction algorithms.

    Functional effect prediction of FUS mutations by ten nsSNP prediction algorithms. by L. F. S. Bonet (11502082)

    Published 2021
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  5. 65
    Functional examination of the 6 key significant genes found in modules 1 and 2.

    Functional examination of the 6 key significant genes found in modules 1 and 2. by Ravinder Sharma (13154079)

    Published 2024
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  6. 66
    Convergence curve of reactive power transmission line loss minimization based on (a) the HFPSO algorithm and (b) the PSO algorithm.

    Convergence curve of reactive power transmission line loss minimization based on (a) the HFPSO algorithm and (b) the PSO algorithm. by Abdullah Khan (377292)

    Published 2020
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  7. 67
    Convergence curve of real power transmission line loss minimization by using (a) the HFPSO algorithm and (b) the PSO algorithm.

    Convergence curve of real power transmission line loss minimization by using (a) the HFPSO algorithm and (b) the PSO algorithm. by Abdullah Khan (377292)

    Published 2020
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  8. 68
    Dataset used for this work.

    Dataset used for this work. by Saksham Phul (12437059)

    Published 2022
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  9. 69
    Average input sensitivities for ANN model trained with combined evolutionary and biophysical features.

    Average input sensitivities for ANN model trained with combined evolutionary and biophysical features. by Saksham Phul (12437059)

    Published 2022
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  10. 70
    A Schematic flowchart of the ANN Models.

    A Schematic flowchart of the ANN Models. by Saksham Phul (12437059)

    Published 2022
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  11. 71
    MCC values reported for three different ANN models.

    MCC values reported for three different ANN models. by Saksham Phul (12437059)

    Published 2022
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  12. 72
    Criteria for classifying variants as dysfunctional used in this work.

    Criteria for classifying variants as dysfunctional used in this work. by Saksham Phul (12437059)

    Published 2022
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  13. 73
    Average input sensitivities for ANN model trained with only biophysical features.

    Average input sensitivities for ANN model trained with only biophysical features. by Saksham Phul (12437059)

    Published 2022
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  14. 74
    Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information.

    Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. by Yuanchen Zhao (12905580)

    Published 2024
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  15. 75
    Standard functions to test.

    Standard functions to test. by Kemal Gökhan Nalbant (18858009)

    Published 2024
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  16. 76
    Correspondence of grayscale values between brightness <i>l</i><sub>0</sub> and brightness <i>l</i><sub>2</sub>.

    Correspondence of grayscale values between brightness <i>l</i><sub>0</sub> and brightness <i>l</i><sub>2</sub>. by Hui Huang (4122)

    Published 2021
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  17. 77
    Correspondence of grayscale values between brightness <i>l</i><sub>0</sub> and brightness <i>l</i><sub>1</sub>.

    Correspondence of grayscale values between brightness <i>l</i><sub>0</sub> and brightness <i>l</i><sub>1</sub>. by Hui Huang (4122)

    Published 2021
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  18. 78
    Correspondence of grayscale values between brightness <i>l</i><sub>0</sub> and brightness <i>l</i><sub>5</sub>.

    Correspondence of grayscale values between brightness <i>l</i><sub>0</sub> and brightness <i>l</i><sub>5</sub>. by Hui Huang (4122)

    Published 2021
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  19. 79
    Correspondence of grayscale values between brightness <i>l</i><sub>0</sub> and brightness <i>l</i><sub>3</sub>.

    Correspondence of grayscale values between brightness <i>l</i><sub>0</sub> and brightness <i>l</i><sub>3</sub>. by Hui Huang (4122)

    Published 2021
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  20. 80
    Correspondence of grayscale values between brightness <i>l</i><sub>0</sub> and brightness <i>l</i><sub>4</sub>.

    Correspondence of grayscale values between brightness <i>l</i><sub>0</sub> and brightness <i>l</i><sub>4</sub>. by Hui Huang (4122)

    Published 2021
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