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Showing 141 - 160 results of 15,652 for search '(((( algorithms a function ) OR ( algorithm fc function ))) OR ( algorithm python function ))', query time: 0.50s Refine Results
  1. 141
    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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  2. 142
    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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  3. 143
    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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  4. 144
    The topology of HN.

    The topology of HN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  5. 145
    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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  6. 146
    Standard benchmark functions used for the experimentation of EOSA and other similar optimization algorithms.

    Standard benchmark functions used for the experimentation of EOSA and other similar optimization algorithms. by Tehnan I. A. Mohamed (16846175)

    Published 2023
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  7. 147
    Comparison of the improved LRM and RM results.

    Comparison of the improved LRM and RM results. by YueSheng Jiang (19267984)

    Published 2024
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  8. 148
    Result charts for different window sizes.

    Result charts for different window sizes. by YueSheng Jiang (19267984)

    Published 2024
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  9. 149
    Tunable parameters in stimuli generation module. <sup><i>a</i></sup>The fixation cross is displayed once before an experiment starts to help subjects concentrate. <sup><i>b</i></sup>Different stimuli are displayed equally. If desired by the user, some stimuli can be displayed more/less frequently by assigning them a higher/lower weight.

    Tunable parameters in stimuli generation module. <sup><i>a</i></sup>The fixation cross is displayed once before an experiment starts to help subjects concentrate. <sup><i>b</i></su... by Gursimran Singh (575288)

    Published 2025
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  10. 150
    Distributions of optimized coupling parameters and median FC strengths for males and females.

    Distributions of optimized coupling parameters and median FC strengths for males and females. by Kevin J. Wischnewski (21354521)

    Published 2025
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  11. 151
    Schematic diagram of the TEAPS algorithm.

    Schematic diagram of the TEAPS algorithm. by Yoshiaki Kariya (13767985)

    Published 2022
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  12. 152
    Algorithm results based on FE simulated likelihood functions.

    Algorithm results based on FE simulated likelihood functions. by Nicolas Herzig (9230425)

    Published 2020
    “…<p>(A) Nodule depth estimation by the algorithm with the likelihood functions obtained by FEM simulation. …”
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  13. 153
    Distribution of objective function values solved by three algorithms.

    Distribution of objective function values solved by three algorithms. by Meilin Zhu (688698)

    Published 2025
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  14. 154
    Comparison of results of algorithms under five standard functions.

    Comparison of results of algorithms under five standard functions. by Kemal Gökhan Nalbant (18858009)

    Published 2024
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  15. 155
    Gene content overlap in <i>RNF43 G659fs</i> mutation-specific pathways.

    Gene content overlap in <i>RNF43 G659fs</i> mutation-specific pathways. by Alexis M. Thornton (11068403)

    Published 2021
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  16. 156
    Flowchart of DAPF-RRT algorithm.

    Flowchart of DAPF-RRT algorithm. by Zhenggang Wang (1753657)

    Published 2025
    “…<div><p>In response to the widely used RRT-Connect path planning algorithm in the field of robotic arms, which has problems such as long search time, random node growth, multiple and unsmooth path turns, a path planning algorithm combining dynamic step size and artificial potential field is proposed. …”
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  17. 157
    Performance comparison of different algorithms.

    Performance comparison of different algorithms. by Zhenggang Wang (1753657)

    Published 2025
    “…<div><p>In response to the widely used RRT-Connect path planning algorithm in the field of robotic arms, which has problems such as long search time, random node growth, multiple and unsmooth path turns, a path planning algorithm combining dynamic step size and artificial potential field is proposed. …”
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  18. 158
    Algorithm test with a 4mm deep.

    Algorithm test with a 4mm deep. by Nicolas Herzig (9230425)

    Published 2020
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  19. 159
    Speed-up relative to the straightforward algorithm for an artificial network as a function of the SIR model parameters.

    Speed-up relative to the straightforward algorithm for an artificial network as a function of the SIR model parameters. by Petter Holme (166216)

    Published 2021
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  20. 160
    <i>K</i>-CDFs: A Nonparametric Clustering Algorithm via Cumulative Distribution Function

    <i>K</i>-CDFs: A Nonparametric Clustering Algorithm via Cumulative Distribution Function by Jicai Liu (11419050)

    Published 2022
    “…<p>We propose a novel partitioning clustering procedure based on the cumulative distribution function (CDF), called <i>K</i>-CDFs. …”
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