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Showing 61 - 80 results of 3,487 for search '(( algorithm catenin function ) OR ((( algorithm python function ) OR ( algorithm i function ))))', query time: 0.32s Refine Results
  1. 61
    Cophenetic distances under various <i>L</i><sub><i>p</i></sub> norms and contribution functions.

    Cophenetic distances under various <i>L</i><sub><i>p</i></sub> norms and contribution functions. by Paweł Górecki (3285255)

    Published 2025
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  2. 62
    Immune infiltration analysis by CIBERSORT algorithm.

    Immune infiltration analysis by CIBERSORT algorithm. by Lanying Shen (22755930)

    Published 2025
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  3. 63
    Immune infiltration analysis by CIBERSORT algorithm.

    Immune infiltration analysis by CIBERSORT algorithm. by Lanying Shen (22755930)

    Published 2025
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  4. 64
    Algorithm framework.

    Algorithm framework. by Zongjin Li (38031)

    Published 2025
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  5. 65
    RTC-F solar cell: (a) <i>I</i>-<i>U</i> and (b) <i>P</i>-<i>U</i> characteristics.

    RTC-F solar cell: (a) <i>I</i>-<i>U</i> and (b) <i>P</i>-<i>U</i> characteristics. by Ziad M. Ali (12516532)

    Published 2024
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  6. 66
    PWP201 solar module: (a) <i>I</i>-<i>U</i> and (b) <i>P</i>-<i>U</i> characteristics.

    PWP201 solar module: (a) <i>I</i>-<i>U</i> and (b) <i>P</i>-<i>U</i> characteristics. by Ziad M. Ali (12516532)

    Published 2024
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  7. 67
    Type-1 membership function for distance.

    Type-1 membership function for distance. by Seung-Min Ryu (21463891)

    Published 2025
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  8. 68
    Type-1 membership function for speed.

    Type-1 membership function for speed. by Seung-Min Ryu (21463891)

    Published 2025
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  9. 69
    STD/mean(∞;<i>α</i>) and <i>c</i>(<i>α</i>) coefficients as a function of <i>α</i>.

    STD/mean(∞;<i>α</i>) and <i>c</i>(<i>α</i>) coefficients as a function of <i>α</i>. by Luca Maria Del Bono (20479625)

    Published 2024
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  10. 70
    A detailed process of iterative simulation coupled with bone density algorithm; (a) a function of stimulus and related bone density changes, and (b) iterative calculations of finite element analysis coupled with user’s subroutine for changes in bone density.

    A detailed process of iterative simulation coupled with bone density algorithm; (a) a function of stimulus and related bone density changes, and (b) iterative calculations of finit... by Hassan Mehboob (8960273)

    Published 2025
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  11. 71
    Working time of different processes (<i>h</i>).

    Working time of different processes (<i>h</i>). by Dawei Wang (471687)

    Published 2025
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  12. 72
    Types of training algorithms.

    Types of training algorithms. by Caixia Yan (6647072)

    Published 2025
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  13. 73
    MSX-60 module: (a) <i>I</i>-<i>U</i> and (b) <i>P-U</i> characteristics.

    MSX-60 module: (a) <i>I</i>-<i>U</i> and (b) <i>P-U</i> characteristics. by Ziad M. Ali (12516532)

    Published 2024
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  14. 74
    <i>I</i>-<i>U</i> characteristics of the experimental PV solar module.

    <i>I</i>-<i>U</i> characteristics of the experimental PV solar module. by Ziad M. Ali (12516532)

    Published 2024
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  15. 75
    Effectiveness of LSWOA and other SOTA algorithms with <i>D</i>=30, 50 and 100.

    Effectiveness of LSWOA and other SOTA algorithms with <i>D</i>=30, 50 and 100. by Junhao Wei (6816803)

    Published 2025
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  16. 76
    The results of LASSO regression algorithm.

    The results of LASSO regression algorithm. by Xue Fu (549661)

    Published 2025
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  17. 77
    Comparison of different algorithms.

    Comparison of different algorithms. by Jiandong Qiu (20389944)

    Published 2025
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  18. 78
    Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information.

    Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. by Yuanchen Zhao (12905580)

    Published 2024
    “…<p>(A), (B) Algorithm performance, evaluated over 50 simulated datasets generated as described in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012590#pcbi.1012590.g001" target="_blank">Fig 1</a> with <i>N</i> = 3 true groups, 900 samples and 10% simulated measurement noise. …”
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  19. 79
    Membership function of error E1 for tank 1.

    Membership function of error E1 for tank 1. by Tamiru Demelash Kassie (20678515)

    Published 2025
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  20. 80
    Classification algorithm implemented in SPARTA.

    Classification algorithm implemented in SPARTA. by Baptiste Ruiz (20285217)

    Published 2024
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