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Showing 61 - 80 results of 10,242 for search '(( algorithm python function ) OR ((( algorithm relu function ) OR ( algorithm model function ))))', query time: 0.60s Refine Results
  1. 61
    Main parameters of steering system.

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

    Published 2025
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  2. 62
    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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  3. 63
    Co-simulation architecture.

    Co-simulation architecture. by Honglei Pang (22693724)

    Published 2025
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  4. 64
    Overall framework diagram of the study.

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

    Published 2025
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  5. 65
    Vehicle parameters.

    Vehicle parameters. by Honglei Pang (22693724)

    Published 2025
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  6. 66
    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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  7. 67
    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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  8. 68
    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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  9. 69
    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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  10. 70
    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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  11. 71
    Modeling with uniform <i>σ</i> values.

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

    Published 2019
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  12. 72
    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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  13. 73
    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. 74
    Algorithm flow of the CNN + LSTM model.

    Algorithm flow of the CNN + LSTM model. by Zhongzhong Guo (12133402)

    Published 2022
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  15. 75
    Design and implementation of DelaySSA. The input data for DelaySSA are reaction information, initial states, parameters and delays. Combining these into the simulation function, the temporal molecular states <i>n</i> at specific time <i>t</i> will be generated for further visualization.

    Design and implementation of DelaySSA. The input data for DelaySSA are reaction information, initial states, parameters and delays. Combining these into the simulation function, th... by Ziyan Jin (21021976)

    Published 2025
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  16. 76
    Convergence curves of the two algorithms in the Griewank function.

    Convergence curves of the two algorithms in the Griewank function. by Huazan Liu (9137461)

    Published 2020
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  17. 77
    Convergence curves of the two algorithms in the Rastrigin function.

    Convergence curves of the two algorithms in the Rastrigin function. by Huazan Liu (9137461)

    Published 2020
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  18. 78
    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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  19. 79
    Performance of the Algorithm 1.

    Performance of the Algorithm 1. by Bogumił Kamiński (7827794)

    Published 2019
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  20. 80
    Codes of the flow distance algorithm "D∞-TLI" and the width function algorithm "MEB"

    Codes of the flow distance algorithm "D∞-TLI" and the width function algorithm "MEB" by Pengfei Wu (11627371)

    Published 2023
    “…<p>The JAVA codes of the flow distance algorithm "D∞-TLI" and the width function algorithm "MEB" are provided. …”
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