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Showing 21 - 40 results of 2,164 for search '(((( algorithm co function ) OR ( algorithm pre function ))) OR ( algorithm python function ))', query time: 0.64s Refine Results
  1. 21
    HIL test results of low-adhesion road: (a)Vehicle velocity; (b) Braking distance; (c) Lateral displacement; (d) Lateral acceleration; (e)Vehicle sideslip angle; (f) Yaw rate.

    HIL test results of low-adhesion road: (a)Vehicle velocity; (b) Braking distance; (c) Lateral displacement; (d) Lateral acceleration; (e)Vehicle sideslip angle; (f) Yaw rate. by Honglei Pang (22693724)

    Published 2025
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  2. 22
    Overall framework diagram of the study.

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

    Published 2025
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  3. 23
    Braking system model.

    Braking system model. by Honglei Pang (22693724)

    Published 2025
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  4. 24
    Vehicle parameters.

    Vehicle parameters. by Honglei Pang (22693724)

    Published 2025
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  5. 25
    HIL test results of curved road: (a)Vehicle velocity; (b) Braking distance; (c) Lateral displacement; (d) Lateral acceleration; (e)Vehicle sideslip angle; (f) Yaw rate.

    HIL test results of curved road: (a)Vehicle velocity; (b) Braking distance; (c) Lateral displacement; (d) Lateral acceleration; (e)Vehicle sideslip angle; (f) Yaw rate. by Honglei Pang (22693724)

    Published 2025
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  6. 26
    Comparison of average reward values in various simulation scenarios.

    Comparison of average reward values in various simulation scenarios. by Honglei Pang (22693724)

    Published 2025
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  7. 27
    HIL test results of split-μ road: (a)Vehicle velocity; (b) Braking distance; (c) Lateral displacement; (d) Lateral acceleration; (e)Vehicle sideslip angle; (f) Yaw rate.

    HIL test results of split-μ road: (a)Vehicle velocity; (b) Braking distance; (c) Lateral displacement; (d) Lateral acceleration; (e)Vehicle sideslip angle; (f) Yaw rate. by Honglei Pang (22693724)

    Published 2025
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  8. 28
    PyNoetic’s pre-processing module, which supports filtering and artifact removal, including ICA.

    PyNoetic’s pre-processing module, which supports filtering and artifact removal, including ICA. by Gursimran Singh (575288)

    Published 2025
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  9. 29
    Comparison of algorithms in two cases.

    Comparison of algorithms in two cases. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  10. 30
    Flow of the NSGA-II algorithm.

    Flow of the NSGA-II algorithm. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  11. 31
    A Python Package for the Localization of Protein Modifications in Mass Spectrometry Data

    A Python Package for the Localization of Protein Modifications in Mass Spectrometry Data by Anthony S. Barente (14035175)

    Published 2022
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  12. 32
    An expectation-maximization algorithm for finding noninvadable stationary states.

    An expectation-maximization algorithm for finding noninvadable stationary states. by Robert Marsland (8616483)

    Published 2020
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  13. 33
    Python implementation of the Trajectory Adaptive Multilevel Sampling algorithm for rare events and improvements

    Python implementation of the Trajectory Adaptive Multilevel Sampling algorithm for rare events and improvements by Pascal Wang (10130612)

    Published 2021
    “…<div>This directory contains Python 3 scripts implementing the Trajectory Adaptive Multilevel Sampling algorithm (TAMS), a variant of Adaptive Multilevel Splitting (AMS), for the study of rare events. …”
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  14. 34
    Application of the algorithm to unseen data. Presynaptic neurons labelled by rabies viral injection into layer 2/3 primary visual cortex in Penk-Cre mice.

    Application of the algorithm to unseen data. Presynaptic neurons labelled by rabies viral injection into layer 2/3 primary visual cortex in Penk-Cre mice. by Adam L. Tyson (10892822)

    Published 2021
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  15. 35
    Algorithm.

    Algorithm. by Daniel Sanchez-Taltavull (11654630)

    Published 2021
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  16. 36
    Average function evaluation times of the three optimization algorithms.

    Average function evaluation times of the three optimization algorithms. by Shuhui Yu (1535500)

    Published 2025
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  17. 37
    EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit

    EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit by Gonzalo Colmenarejo (650249)

    Published 2025
    “…In this paper, a new RDKit/Python implementation of the algorithm is described, that is both accurate and complete. …”
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  18. 38
    Prediction performance of different optimization algorithms.

    Prediction performance of different optimization algorithms. by Ali-Kemal Aydin (10968731)

    Published 2021
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  19. 39
    The optimal solution set of NYN by using different algorithms.

    The optimal solution set of NYN by using different algorithms. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  20. 40
    The optimal solution set of HN by using different algorithms.

    The optimal solution set of HN by using different algorithms. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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