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Showing 1 - 20 results of 11,782 for search '(( algorithm ((cell function) OR (python function)) ) OR ( algorithm showing function ))', query time: 0.87s Refine Results
  1. 1
    Algorithm used for important sampling of the likelihood function.

    Algorithm used for important sampling of the likelihood function. by Zhiyong Huang (3620000)

    Published 2021
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  2. 2
    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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  3. 3
    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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  4. 4
    Algorithm testing.

    Algorithm testing. by Ziad M. Ali (12516532)

    Published 2024
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  5. 5
    Modular architecture design of PyNoetic showing all its constituent functions.

    Modular architecture design of PyNoetic showing all its constituent functions. by Gursimran Singh (575288)

    Published 2025
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  6. 6
    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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  7. 7
    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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  8. 8
    Convergence curves of the investigated algorithms.

    Convergence curves of the investigated algorithms. by Ziad M. Ali (12516532)

    Published 2024
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  9. 9
    Algorithm pseudocode.

    Algorithm pseudocode. by Cheng-jie Chen (22272090)

    Published 2025
    Subjects: “…Cell Biology…”
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  10. 10
    Efficient algorithms to discover alterations with complementary functional association in cancer

    Efficient algorithms to discover alterations with complementary functional association in cancer by Rebecca Sarto Basso (6728921)

    Published 2019
    “…In addition, our algorithms are much faster than the state-of-the-art, allowing the analysis of large datasets of thousands of target profiles from cancer cell lines. …”
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  11. 11
    A hybrid algorithm based on improved threshold function and wavelet transform.

    A hybrid algorithm based on improved threshold function and wavelet transform. by Bingbing Li (461702)

    Published 2024
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  12. 12
    The SSIM for the different algorithms.

    The SSIM for the different algorithms. by Bingbing Li (461702)

    Published 2024
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  13. 13
    EALM algorithm.

    EALM algorithm. by Weibo Wang (782424)

    Published 2022
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  14. 14
    Composite benchmark functions.

    Composite benchmark functions. by Qi Song (121209)

    Published 2021
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  15. 15
    Unimodal benchmark functions.

    Unimodal benchmark functions. by Qi Song (121209)

    Published 2021
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  16. 16
    Algorithm for solving Eq (7).

    Algorithm for solving Eq (7). by Yanfang Xue (547585)

    Published 2020
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  17. 17
    Algorithm for solving Eq (12).

    Algorithm for solving Eq (12). by Yanfang Xue (547585)

    Published 2020
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  18. 18
    Completion times for different algorithms.

    Completion times for different algorithms. by Jianbin Zheng (587000)

    Published 2025
    “…In the context of intelligent manufacturing, there is still significant potential for improving the productivity of riveting and welding tasks in existing H-beam riveting and welding work cells. In response to the multi-agent system of the H-beam riveting and welding work cell, a recurrent multi-agent proximal policy optimization algorithm (rMAPPO) is proposed to address the multi-agent scheduling problem in the H-beam processing. …”
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  19. 19
    The average cumulative reward of algorithms.

    The average cumulative reward of algorithms. by Jianbin Zheng (587000)

    Published 2025
    “…In the context of intelligent manufacturing, there is still significant potential for improving the productivity of riveting and welding tasks in existing H-beam riveting and welding work cells. In response to the multi-agent system of the H-beam riveting and welding work cell, a recurrent multi-agent proximal policy optimization algorithm (rMAPPO) is proposed to address the multi-agent scheduling problem in the H-beam processing. …”
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  20. 20
    Results of composite benchmark functions.

    Results of composite benchmark functions. by Qi Song (121209)

    Published 2021
    Subjects:
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