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Showing 121 - 140 results of 13,221 for search '(( algorithm using function ) OR ( algorithm ((intensity functional) OR (python function)) ))', query time: 1.05s Refine Results
  1. 121
    Longitudinal dynamics model of the vehicle.

    Longitudinal dynamics model of the vehicle. by Seung-Min Ryu (21463891)

    Published 2025
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  2. 122
    Vehicle dynamics model implemented in Simulink.

    Vehicle dynamics model implemented in Simulink. by Seung-Min Ryu (21463891)

    Published 2025
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  3. 123
    Flowchart of proposed fitness function algorithm.

    Flowchart of proposed fitness function algorithm. by Ferhat Yuna (21519851)

    Published 2025
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  4. 124
    Standard benchmark functions used for the experimentation of EOSA and other similar optimization algorithms.

    Standard benchmark functions used for the experimentation of EOSA and other similar optimization algorithms. by Tehnan I. A. Mohamed (16846175)

    Published 2023
    “…<p>Standard benchmark functions used for the experimentation of EOSA and other similar optimization algorithms.…”
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  5. 125
    Wilcoxon’s test results for EBJADE algorithms and other state-of-the-art CEA-ES algorithms using CEC2014 functions.

    Wilcoxon’s test results for EBJADE algorithms and other state-of-the-art CEA-ES algorithms using CEC2014 functions. by Yang Cao (53545)

    Published 2024
    “…<p>Wilcoxon’s test results for EBJADE algorithms and other state-of-the-art CEA-ES algorithms using CEC2014 functions.…”
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  6. 126
    Wilcoxon’s test results for EBJADE algorithms and other algorithms using CEC2014 functions for D = 30, 50 and 100.

    Wilcoxon’s test results for EBJADE algorithms and other algorithms using CEC2014 functions for D = 30, 50 and 100. by Yang Cao (53545)

    Published 2024
    “…<p>Wilcoxon’s test results for EBJADE algorithms and other algorithms using CEC2014 functions for D = 30, 50 and 100.…”
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  7. 127
    Complementary cumulative distribution functions of in degree distribution and fitted power law, lognormal and truncated power law distributions.

    Complementary cumulative distribution functions of in degree distribution and fitted power law, lognormal and truncated power law distributions. by Olga Valba (10531121)

    Published 2021
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  8. 128
    Comparison of different algorithms for worm tracking. All methods were executed on identical hardware (as detailed in Section 2.2) and evaluated on the same dataset using an image size of 1024 × 1024 pixels. The reported results are based on five independent replicates.

    Comparison of different algorithms for worm tracking. All methods were executed on identical hardware (as detailed in Section 2.2) and evaluated on the same dataset using an image... by Xiaoke Liu (11388323)

    Published 2025
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  9. 129
    The parameters of algorithms.

    The parameters of algorithms. by Le Huu Binh (18340233)

    Published 2025
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  10. 130
    Fit of the change in SANS intensity.

    Fit of the change in SANS intensity. by Samuel Eriksson Lidbrink (21616146)

    Published 2025
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  11. 131
    The structure of the NANEAT model corresponds to the optimal species genome.

    The structure of the NANEAT model corresponds to the optimal species genome. by Wenbing Shi (5806160)

    Published 2025
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  12. 132
    The structural mutation of neuroevolution.

    The structural mutation of neuroevolution. by Wenbing Shi (5806160)

    Published 2025
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  13. 133
    The CGO risk prediction process based on data augmentation and neuroevolution.

    The CGO risk prediction process based on data augmentation and neuroevolution. by Wenbing Shi (5806160)

    Published 2025
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  14. 134
    The genome coding scheme.

    The genome coding scheme. by Wenbing Shi (5806160)

    Published 2025
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  15. 135
    Evaluation indexes of different methods on the test set.

    Evaluation indexes of different methods on the test set. by Wenbing Shi (5806160)

    Published 2025
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  16. 136
    The speciation of ANEAT model evolution.

    The speciation of ANEAT model evolution. by Wenbing Shi (5806160)

    Published 2025
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  17. 137
    The analysis of feature importance.

    The analysis of feature importance. by Wenbing Shi (5806160)

    Published 2025
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  18. 138
    S1 Data -

    S1 Data - by Wenbing Shi (5806160)

    Published 2025
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  19. 139
    The parameter setting of the evolutionary neural network.

    The parameter setting of the evolutionary neural network. by Wenbing Shi (5806160)

    Published 2025
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  20. 140
    The fitness of ANEAT model evolution.

    The fitness of ANEAT model evolution. by Wenbing Shi (5806160)

    Published 2025
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