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Showing 41 - 60 results of 1,024 for search '(( algorithm basis function ) OR ( algorithms python function ))*', query time: 0.26s Refine Results
  1. 41
    Immune infiltration analysis by ssGSEA algorithm.

    Immune infiltration analysis by ssGSEA algorithm. by Yubin Xue (1537042)

    Published 2025
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  2. 42
    Recursive attention function and loss function change.

    Recursive attention function and loss function change. by Wang Linfeng (17102068)

    Published 2023
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  3. 43
    Flowchart of the particle swarm optimization algorithm.

    Flowchart of the particle swarm optimization algorithm. by Jian Ma (170138)

    Published 2025
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  4. 44
    Flowchart of the particle swarm optimization algorithm.

    Flowchart of the particle swarm optimization algorithm. by Jian Ma (170138)

    Published 2025
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  5. 45
    Schematics for gmxapi operations.

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

    Published 2022
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  6. 46
    gmxapi usage examples.

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

    Published 2022
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  7. 47
    Reward function related parameters.

    Reward function related parameters. by Honglei Pang (22693724)

    Published 2025
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  8. 48
    Average quality scores of the models of the analysis set as a function of the <i>w</i><sub><i>SP</i></sub> with which the DOPE potential has been included in the objective function of MODELLER.

    Average quality scores of the models of the analysis set as a function of the <i>w</i><sub><i>SP</i></sub> with which the DOPE potential has been included in the objective function... by Giacomo Janson (8138517)

    Published 2019
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  9. 49
    Different leaf species with the corresponding Mean Square Error (MSE) and RBFNN curve fitting.

    Different leaf species with the corresponding Mean Square Error (MSE) and RBFNN curve fitting. by Ali Ahmed (2567584)

    Published 2020
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  10. 50
    Two different leaf images belonging to the same plant species and their corresponding contour feature curves.

    Two different leaf images belonging to the same plant species and their corresponding contour feature curves. by Ali Ahmed (2567584)

    Published 2020
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  11. 51
    Binary leaf image rotated anti-clock wise from the origin degree to 40<sup><i>o</i></sup>, 80<sup><i>o</i></sup>, 120<sup><i>o</i></sup>, and 160<sup><i>o</i></sup> from left to right respectively to verify rotation invariance with their corresponding curve-fitted data.

    Binary leaf image rotated anti-clock wise from the origin degree to 40<sup><i>o</i></sup>, 80<sup><i>o</i></sup>, 120<sup><i>o</i></sup>, and 160<sup><i>o</i></sup> from left to ri... by Ali Ahmed (2567584)

    Published 2020
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  12. 52
    The SVM kernel parameters optimization using Bayesian optimization.

    The SVM kernel parameters optimization using Bayesian optimization. by Ali Ahmed (2567584)

    Published 2020
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  13. 53
    Fig 3 -

    Fig 3 - by Ali Ahmed (2567584)

    Published 2020
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  14. 54
    Summarization of related literature.

    Summarization of related literature. by Ali Ahmed (2567584)

    Published 2020
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  15. 55
    The RBFNN as a classifier.

    The RBFNN as a classifier. by Ali Ahmed (2567584)

    Published 2020
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  16. 56
    Classification parameters of the proposed three classifiers.

    Classification parameters of the proposed three classifiers. by Ali Ahmed (2567584)

    Published 2020
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  17. 57
    The SVM kernel parameters optimization using SSA optimization.

    The SVM kernel parameters optimization using SSA optimization. by Ali Ahmed (2567584)

    Published 2020
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  18. 58
    Pairs of features from the 36 features defining the leaf and their corresponding leaf classes.

    Pairs of features from the 36 features defining the leaf and their corresponding leaf classes. by Ali Ahmed (2567584)

    Published 2020
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  19. 59
    The proposed system accuracies with respect to different selected angles (number of features).

    The proposed system accuracies with respect to different selected angles (number of features). by Ali Ahmed (2567584)

    Published 2020
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  20. 60
    Practical rules for summing the series of the Tweedie probability density function with high-precision arithmetic

    Practical rules for summing the series of the Tweedie probability density function with high-precision arithmetic by NELSON L. DIAS (8078003)

    Published 2019
    “…With these practical rules, simple summation algorithms provide sufficiently robust results for the calculation of the density function and its definite integrals. …”
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