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Showing 21 - 40 results of 10,216 for search '(( algorithm models functions ) OR ( algorithm python function ))', query time: 0.55s Refine Results
  1. 21
    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. 22
    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. 23
    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. 24
    The topology of HN.

    The topology of HN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  5. 25
    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. 26
    Modular architecture design of PyNoetic showing all its constituent functions.

    Modular architecture design of PyNoetic showing all its constituent functions. by Gursimran Singh (575288)

    Published 2025
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  7. 27
    Code snippets to add user-specific custom functionality in PyNoetic.

    Code snippets to add user-specific custom functionality in PyNoetic. by Gursimran Singh (575288)

    Published 2025
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  8. 28
    Steering system model.

    Steering system model. by Honglei Pang (22693724)

    Published 2025
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  9. 29
    Braking system model.

    Braking system model. by Honglei Pang (22693724)

    Published 2025
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  10. 30
    BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data

    BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data by Jean-Christophe Lachance (6619307)

    Published 2019
    “…Despite its importance, no standardized computational platform is currently available to generate species-specific biomass objective functions in a data-driven, unbiased fashion. To fill this gap in the metabolic modeling software ecosystem, we implemented BOFdat, a Python package for the definition of a <b>B</b>iomass <b>O</b>bjective <b>F</b>unction from experimental <b>dat</b>a. …”
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  11. 31
    Comparison of PyNoetic’s functionality for BCI design with other existing state-of-the-art frameworks.

    Comparison of PyNoetic’s functionality for BCI design with other existing state-of-the-art frameworks. by Gursimran Singh (575288)

    Published 2025
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  12. 32
    PyNoetic’s classification module supports a range of popular and widely used ML classification models with just a single line of function call.

    PyNoetic’s classification module supports a range of popular and widely used ML classification models with just a single line of function call. by Gursimran Singh (575288)

    Published 2025
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  13. 33
    Search Algorithms and Loss Functions for Bayesian Clustering

    Search Algorithms and Loss Functions for Bayesian Clustering by David B. Dahl (11761055)

    Published 2022
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  14. 34
    Overview of functionality supported by PyNoetic and its various modules, including the live analysis and programmable flowchart.

    Overview of functionality supported by PyNoetic and its various modules, including the live analysis and programmable flowchart. by Gursimran Singh (575288)

    Published 2025
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  15. 35
    Constructing the dynamical law.

    Constructing the dynamical law. by Robert Marsland (8616483)

    Published 2020
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  16. 36
    Results of searching performance of different algorithm models on the Sphere function and Griewank function.

    Results of searching performance of different algorithm models on the Sphere function and Griewank function. by Rui Zhang (13940)

    Published 2021
    “…<p>Results of searching performance of different algorithm models on the Sphere function and Griewank function.…”
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  17. 37
    Revisiting the “satisfaction of spatial restraints” approach of MODELLER for protein homology modeling

    Revisiting the “satisfaction of spatial restraints” approach of MODELLER for protein homology modeling by Giacomo Janson (8138517)

    Published 2019
    “…The most widely employed tool to perform this task is MODELLER. This program implements the “modeling by satisfaction of spatial restraints” strategy and its core algorithm has not been altered significantly since the early 1990s. …”
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  18. 38
    <b>Algorithm Pseudocode</b>

    <b>Algorithm Pseudocode</b> by Yibin Zhao (22425801)

    Published 2025
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  19. 39
    Results of searching performance of different algorithm models on the Rosenbrock function, Ackley function, and Rastrigin function.

    Results of searching performance of different algorithm models on the Rosenbrock function, Ackley function, and Rastrigin function. by Rui Zhang (13940)

    Published 2021
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  20. 40
    Convergence curves of different algorithms on the benchmark functions.

    Convergence curves of different algorithms on the benchmark functions. by Aihua Guo (13267712)

    Published 2022
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