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Showing 41 - 60 results of 215 for search '(( algorithm fc function ) OR ((( algorithm python function ) OR ( algorithm etc function ))))', query time: 0.60s Refine Results
  1. 41
    Main parameters of steering system.

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

    Published 2025
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  2. 42
    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. 43
    Co-simulation architecture.

    Co-simulation architecture. by Honglei Pang (22693724)

    Published 2025
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  4. 44
    Overall framework diagram of the study.

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

    Published 2025
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  5. 45
    Braking system model.

    Braking system model. by Honglei Pang (22693724)

    Published 2025
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  6. 46
    Vehicle parameters.

    Vehicle parameters. by Honglei Pang (22693724)

    Published 2025
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  7. 47
    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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  8. 48
    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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  9. 49
    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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  10. 50
    A comparison between the static Python-based visualizations of the p65 activity in activated fibroblasts and the dynamic, HTML-based visualizations that use these same reduction methods.

    A comparison between the static Python-based visualizations of the p65 activity in activated fibroblasts and the dynamic, HTML-based visualizations that use these same reduction me... by Hector Torres (11708207)

    Published 2025
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  11. 51
    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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  12. 52
    Reliability of the optimized frequency parameters and sFC matrix edges in the high-dimensional cases as well as of the GoF.

    Reliability of the optimized frequency parameters and sFC matrix edges in the high-dimensional cases as well as of the GoF. by Kevin J. Wischnewski (21354521)

    Published 2025
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  13. 53
    Explained variance ration of the PCA algorithm.

    Explained variance ration of the PCA algorithm. by Abeer Aljohani (18497914)

    Published 2025
    “…<div><p>Chest X-ray image classification plays an important role in medical diagnostics. Machine learning algorithms enhanced the performance of these classification algorithms by introducing advance techniques. …”
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  14. 54
    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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  15. 55
    Comparison of computational cost between SBOA and MESBOA.

    Comparison of computational cost between SBOA and MESBOA. by Yuqi Xiong (12343771)

    Published 2025
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  16. 56
    -value on CEC2022 (dim = 20).

    -value on CEC2022 (dim = 20). by Yuqi Xiong (12343771)

    Published 2025
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  17. 57
    Flowchart of low-light image enhancement based on MESBOA.

    Flowchart of low-light image enhancement based on MESBOA. by Yuqi Xiong (12343771)

    Published 2025
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  18. 58
    Flowchart of low-light image enhancement based on MESBOA.

    Flowchart of low-light image enhancement based on MESBOA. by Yuqi Xiong (12343771)

    Published 2025
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  19. 59
    Precision elimination strategy.

    Precision elimination strategy. by Yuqi Xiong (12343771)

    Published 2025
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  20. 60
    Results of low-light image enhancement test.

    Results of low-light image enhancement test. by Yuqi Xiong (12343771)

    Published 2025
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