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Showing 21 - 40 results of 91 for search '(( algorithm python function ) OR ((( algorithm a function ) OR ( algorithm model function ))))~', query time: 0.46s Refine Results
  1. 21
    Constructing the dynamical law.

    Constructing the dynamical law. by Robert Marsland (8616483)

    Published 2020
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  2. 22
    Main parameters of braking system.

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

    Published 2025
    “…Firstly, high-fidelity models of electromechanical braking (EMB) and steer-by-wire (SBW) systems are constructed in Amesim by leveraging their dynamic characteristics, while a full-vehicle dynamics model is developed in CarSim. …”
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  3. 23
    EMB and SBW system structure.

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

    Published 2025
    “…Firstly, high-fidelity models of electromechanical braking (EMB) and steer-by-wire (SBW) systems are constructed in Amesim by leveraging their dynamic characteristics, while a full-vehicle dynamics model is developed in CarSim. …”
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  4. 24
    Raw data.

    Raw data. by Honglei Pang (22693724)

    Published 2025
    “…Firstly, high-fidelity models of electromechanical braking (EMB) and steer-by-wire (SBW) systems are constructed in Amesim by leveraging their dynamic characteristics, while a full-vehicle dynamics model is developed in CarSim. …”
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  5. 25
    Code program.

    Code program. by Honglei Pang (22693724)

    Published 2025
    “…Firstly, high-fidelity models of electromechanical braking (EMB) and steer-by-wire (SBW) systems are constructed in Amesim by leveraging their dynamic characteristics, while a full-vehicle dynamics model is developed in CarSim. …”
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  6. 26
    The HIL simulation data flowchart.

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

    Published 2025
    “…Firstly, high-fidelity models of electromechanical braking (EMB) and steer-by-wire (SBW) systems are constructed in Amesim by leveraging their dynamic characteristics, while a full-vehicle dynamics model is developed in CarSim. …”
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  7. 27
    Hyperparameter Configurations in PPO Training.

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

    Published 2025
    “…Firstly, high-fidelity models of electromechanical braking (EMB) and steer-by-wire (SBW) systems are constructed in Amesim by leveraging their dynamic characteristics, while a full-vehicle dynamics model is developed in CarSim. …”
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  8. 28
    Main parameters of steering system.

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

    Published 2025
    “…Firstly, high-fidelity models of electromechanical braking (EMB) and steer-by-wire (SBW) systems are constructed in Amesim by leveraging their dynamic characteristics, while a full-vehicle dynamics model is developed in CarSim. …”
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  9. 29
    Co-simulation architecture.

    Co-simulation architecture. by Honglei Pang (22693724)

    Published 2025
    “…Firstly, high-fidelity models of electromechanical braking (EMB) and steer-by-wire (SBW) systems are constructed in Amesim by leveraging their dynamic characteristics, while a full-vehicle dynamics model is developed in CarSim. …”
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  10. 30
    Overall framework diagram of the study.

    Overall framework diagram of the study. by Honglei Pang (22693724)

    Published 2025
    “…Firstly, high-fidelity models of electromechanical braking (EMB) and steer-by-wire (SBW) systems are constructed in Amesim by leveraging their dynamic characteristics, while a full-vehicle dynamics model is developed in CarSim. …”
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  11. 31
    Vehicle parameters.

    Vehicle parameters. by Honglei Pang (22693724)

    Published 2025
    “…Firstly, high-fidelity models of electromechanical braking (EMB) and steer-by-wire (SBW) systems are constructed in Amesim by leveraging their dynamic characteristics, while a full-vehicle dynamics model is developed in CarSim. …”
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  12. 32
    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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  13. 33
    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
    “…Secondly, we have inquired into how the incorporation of statistical potential terms (such as the DOPE potential) in the MODELLER’s objective function impacts positively 3D modeling quality by providing a small but consistent improvement in metrics such as GDT-HA and lDDT and a large increase in stereochemical quality. …”
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  14. 34
    Data_Sheet_1_Decoding emotional resilience in aging: unveiling the interplay between daily functioning and emotional health.PDF

    Data_Sheet_1_Decoding emotional resilience in aging: unveiling the interplay between daily functioning and emotional health.PDF by Minhua Guo (18392646)

    Published 2024
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  15. 35
    Modeling with uniform <i>σ</i> values.

    Modeling with uniform <i>σ</i> values. by Giacomo Janson (8138517)

    Published 2019
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  16. 36
    Effect of <i>|Δd</i><sub><i>n</i></sub><i>|</i> perturbation on 3D modeling.

    Effect of <i>|Δd</i><sub><i>n</i></sub><i>|</i> perturbation on 3D modeling. by Giacomo Janson (8138517)

    Published 2019
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  17. 37
    Where to Handle an Exception? Recommending Exception Handling Locations from a Global Perspective

    Where to Handle an Exception? Recommending Exception Handling Locations from a Global Perspective by Xiangyang Jia (10026932)

    Published 2021
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  18. 38
    A typical BCI system depicting the flow and processing of EEG data.

    A typical BCI system depicting the flow and processing of EEG data. by Gursimran Singh (575288)

    Published 2025
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  19. 39
    PyNoetic’s unique pick-place configurable flowchart that offers a no-code option for non-programmers.

    PyNoetic’s unique pick-place configurable flowchart that offers a no-code option for non-programmers. by Gursimran Singh (575288)

    Published 2025
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  20. 40
    Pseudo live-stream of EEG data is generated, and a simple pick-and-place flowchart is designed for channel selection and filtering.

    Pseudo live-stream of EEG data is generated, and a simple pick-and-place flowchart is designed for channel selection and filtering. by Gursimran Singh (575288)

    Published 2025
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