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Showing 41 - 60 results of 1,026 for search '(((( algorithm basis function ) OR ( algorithm gpcr function ))) OR ( algorithm python function ))', query time: 0.49s Refine Results
  1. 41
    Constructing the dynamical law.

    Constructing the dynamical law. by Robert Marsland (8616483)

    Published 2020
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  2. 42
    Definitions of global parameters used for constructing random ecosystems.

    Definitions of global parameters used for constructing random ecosystems. by Robert Marsland (8616483)

    Published 2020
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  3. 43
    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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  4. 44
    Reward function related parameters.

    Reward function related parameters. by Honglei Pang (22693724)

    Published 2025
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  5. 45
    Recursive attention function and loss function change.

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

    Published 2023
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  6. 46
    Flowchart of the particle swarm optimization algorithm.

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

    Published 2025
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  7. 47
    Flowchart of the particle swarm optimization algorithm.

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

    Published 2025
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  8. 48
    Example of the CNF function for off-axis DHM holograms recorded in a non-telecentric configuration.

    Example of the CNF function for off-axis DHM holograms recorded in a non-telecentric configuration. by Raul Castañeda (13932971)

    Published 2022
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  9. 49
    3D modeling qualities of the AS single-template models built by including DOPE in the objective function of MODELLER.

    3D modeling qualities of the AS single-template models built by including DOPE in the objective function of MODELLER. by Giacomo Janson (8138517)

    Published 2019
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  10. 50
    3D modeling qualities of the AM multiple-template models built by including DOPE in the objective function of MODELLER.

    3D modeling qualities of the AM multiple-template models built by including DOPE in the objective function of MODELLER. by Giacomo Janson (8138517)

    Published 2019
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  11. 51
    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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  12. 52
    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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  13. 53
    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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  14. 54
    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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  15. 55
    Fig 3 -

    Fig 3 - by Ali Ahmed (2567584)

    Published 2020
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  16. 56
    Summarization of related literature.

    Summarization of related literature. by Ali Ahmed (2567584)

    Published 2020
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  17. 57
    The RBFNN as a classifier.

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

    Published 2020
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  18. 58
    Classification parameters of the proposed three classifiers.

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

    Published 2020
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  19. 59
    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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  20. 60
    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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