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Showing 61 - 80 results of 10,260 for search '(((( algorithm model function ) OR ( algorithm setup function ))) OR ( algorithm python function ))', query time: 0.43s Refine Results
  1. 61
    Constructing the dynamical law.

    Constructing the dynamical law. by Robert Marsland (8616483)

    Published 2020
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  2. 62
    Block diagram of the experimental setup.

    Block diagram of the experimental setup. by Alexander V. Spirov (11302085)

    Published 2022
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  3. 63
    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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  4. 64
    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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  5. 65
    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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  6. 66
    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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  7. 67
    <b>Algorithm Pseudocode</b>

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

    Published 2025
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  8. 68
    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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  9. 69
    Cooperativity and nonlinear amplification of synaptic input in cell type specific models.

    Cooperativity and nonlinear amplification of synaptic input in cell type specific models. by Daniele Linaro (227790)

    Published 2022
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  10. 70
    Main parameters of braking system.

    Main parameters of braking system. by Honglei Pang (22693724)

    Published 2025
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  11. 71
    Simulation Results Plot of the SBW System Response: (a) Step response curve of the SBW system; (b) Sine response curve of the SBW system; (c) Steady state error curve of the SBW system.

    Simulation Results Plot of the SBW System Response: (a) Step response curve of the SBW system; (b) Sine response curve of the SBW system; (c) Steady state error curve of the SBW sy... by Honglei Pang (22693724)

    Published 2025
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  12. 72
    EMB and SBW system structure.

    EMB and SBW system structure. by Honglei Pang (22693724)

    Published 2025
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  13. 73
    Raw data.

    Raw data. by Honglei Pang (22693724)

    Published 2025
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  14. 74
    Braking performance and lateral stability on low-adhesion road surfaces: (a)Vehicle velocity; (b) Braking distance; (c) Lateral displacement; (d) Lateral acceleration; (e)Vehicle sideslip angle; (f) Yaw rate.

    Braking performance and lateral stability on low-adhesion road surfaces: (a)Vehicle velocity; (b) Braking distance; (c) Lateral displacement; (d) Lateral acceleration; (e)Vehicle s... by Honglei Pang (22693724)

    Published 2025
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  15. 75
    Code program.

    Code program. by Honglei Pang (22693724)

    Published 2025
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  16. 76
    The HIL simulation data flowchart.

    The HIL simulation data flowchart. by Honglei Pang (22693724)

    Published 2025
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  17. 77
    Braking performance and lateral stability on curved road surfaces: (a)Vehicle velocity; (b) Braking distance; (c) Lateral displacement; (d) Lateral acceleration; (e)Vehicle sideslip angle; (f) Yaw rate.

    Braking performance and lateral stability on curved road surfaces: (a)Vehicle velocity; (b) Braking distance; (c) Lateral displacement; (d) Lateral acceleration; (e)Vehicle sidesli... by Honglei Pang (22693724)

    Published 2025
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  18. 78
    Braking performance and lateral stability on split-μ road surfaces: (a)Vehicle velocity; (b) Braking distance; (c) Lateral displacement; (d) Lateral acceleration; (e)Vehicle sideslip angle; (f) Yaw rate.

    Braking performance and lateral stability on split-μ road surfaces: (a)Vehicle velocity; (b) Braking distance; (c) Lateral displacement; (d) Lateral acceleration; (e)Vehicle sidesl... by Honglei Pang (22693724)

    Published 2025
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  19. 79
    Simulation Results Plot of the EMB System Response: (a) Step response curve of the EMB system; (b) Sine response curve of the EMB system; (c) Steady state error curve of the EMB system.

    Simulation Results Plot of the EMB System Response: (a) Step response curve of the EMB system; (b) Sine response curve of the EMB system; (c) Steady state error curve of the EMB sy... by Honglei Pang (22693724)

    Published 2025
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  20. 80
    Hyperparameter Configurations in PPO Training.

    Hyperparameter Configurations in PPO Training. by Honglei Pang (22693724)

    Published 2025
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