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Showing 81 - 100 results of 3,565 for search '(( algorithm basis function ) OR ((( algorithm python function ) OR ( algorithm both function ))))', query time: 0.50s Refine Results
  1. 81
    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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  2. 82
    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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  3. 83
    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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  4. 84
    Information of nodes and pipes of NYN.

    Information of nodes and pipes of NYN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  5. 85
    The topology of the NYN.

    The topology of the NYN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  6. 86
    The result of Wilcoxon signed-rand test.

    The result of Wilcoxon signed-rand test. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  7. 87
    The Simulation and optimization process of pipe diameter selection.

    The Simulation and optimization process of pipe diameter selection. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  8. 88
    Optional pipe diameter and unit price of NYN.

    Optional pipe diameter and unit price of NYN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  9. 89
    Optional pipe diameter and unit price of HN.

    Optional pipe diameter and unit price of HN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  10. 90
    The topology of HN.

    The topology of HN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  11. 91
    Information of nodes and pipes of HN.

    Information of nodes and pipes of HN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  12. 92
    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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  13. 93
    Venn diagrams showing overlap of the total of overrepresented/underrepresented kinases for both cohorts.

    Venn diagrams showing overlap of the total of overrepresented/underrepresented kinases for both cohorts. by Erica A. K. DePasquale (11851483)

    Published 2021
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  14. 94
    Bioinformatic Analysis Reveals both Oversampled and Underexplored Biosynthetic Diversity in Nonribosomal Peptides

    Bioinformatic Analysis Reveals both Oversampled and Underexplored Biosynthetic Diversity in Nonribosomal Peptides by Bo-Siyuan Jian (14669996)

    Published 2023
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  15. 95
    The ALO algorithm optimization flowchart.

    The ALO algorithm optimization flowchart. by Wenjing Wang (181404)

    Published 2024
    “…The average running time of the proposed algorithm in Sphere function and Griebank function was 2.67s and 1.64s, respectively. …”
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  16. 96
    The IALO algorithm solution flowchart.

    The IALO algorithm solution flowchart. by Wenjing Wang (181404)

    Published 2024
    “…The average running time of the proposed algorithm in Sphere function and Griebank function was 2.67s and 1.64s, respectively. …”
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  17. 97
    Algorithm pseudocode.

    Algorithm pseudocode. by Cheng-jie Chen (22272090)

    Published 2025
    “…On the basis of the Retinex model, multi-level decomposition of brightness is carried out, and different filtering parameters are set to obtain multiple illumination and reflection images with different scale information; Using exponential function and Sigmoid function to process reflection images and illumination images separately, reducing external interference on images of different scales, and solving the difficulty of enhancing images with uneven illumination, high noise, low illumination, and loss of details. …”
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  18. 98
    Comparison of the performance of both models against 13 other models on the independent test dataset.

    Comparison of the performance of both models against 13 other models on the independent test dataset. by Aastha Vatsyayan (9981916)

    Published 2024
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  19. 99
    Varietal predicted parameters under both water conditions per groups of varieties.

    Varietal predicted parameters under both water conditions per groups of varieties. by Maud Delattre (19106551)

    Published 2024
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  20. 100
    Mean and standard deviation of RBF classifier performance across different training algorithms with cross-validation.

    Mean and standard deviation of RBF classifier performance across different training algorithms with cross-validation. by Mohammad Hossein Hadizadeh Isfahani (22634016)

    Published 2025
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