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Showing 1 - 20 results of 14,195 for search '(((( algorithm cell function ) OR ( algorithm models function ))) OR ( algorithm body function ))', query time: 0.77s Refine Results
  1. 1
    Optimization Performance Comparison of Metaheuristic Algorithms.

    Optimization Performance Comparison of Metaheuristic Algorithms. by Xie Qiu (13243770)

    Published 2025
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  2. 2
    Predicted body weights (kg) as a function of time (age in weeks) obtained from MARS algorithm.

    Predicted body weights (kg) as a function of time (age in weeks) obtained from MARS algorithm. by Turgay Şengül (12801990)

    Published 2024
    “…<p>Predicted body weights (kg) as a function of time (age in weeks) obtained from MARS algorithm.…”
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  3. 3
    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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  4. 4
    The training process for PV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs.

    The training process for PV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. by Hiam Alquran (17636906)

    Published 2025
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  5. 5
    The training process for AV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs.

    The training process for AV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. by Hiam Alquran (17636906)

    Published 2025
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  6. 6
    The training process for TV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs.

    The training process for TV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. by Hiam Alquran (17636906)

    Published 2025
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  7. 7
    The training process for MV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs.

    The training process for MV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. by Hiam Alquran (17636906)

    Published 2025
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  8. 8
    Predicted body weights (kg) as a function of time (age in weeks) obtained from MARS algorithm and Gompertz model.

    Predicted body weights (kg) as a function of time (age in weeks) obtained from MARS algorithm and Gompertz model. by Turgay Şengül (12801990)

    Published 2024
    “…<p>Predicted body weights (kg) as a function of time (age in weeks) obtained from MARS algorithm and Gompertz model.…”
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  9. 9
    Antihypertensive treatment algorithm.

    Antihypertensive treatment algorithm. by Kira Bang Bove (9607123)

    Published 2020
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  10. 10
    Convergence curves for SGHHO and advanced algorithms on 9 selected benchmark functions.

    Convergence curves for SGHHO and advanced algorithms on 9 selected benchmark functions. by Qiong Wu (84327)

    Published 2023
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  11. 11
    Implementation algorithm.

    Implementation algorithm. by Michael A. Colman (7163735)

    Published 2019
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  12. 12
    Algorithm and classification of groups.

    Algorithm and classification of groups. by Ming-Chun Yang (6729968)

    Published 2019
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  13. 13
    Training accuracy/loss as a function of epochs for different datasets.

    Training accuracy/loss as a function of epochs for different datasets. by Hiam Alquran (17636906)

    Published 2025
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  14. 14
    Algorithm testing.

    Algorithm testing. by Ziad M. Ali (12516532)

    Published 2024
    Subjects:
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  15. 15
    P -values for SGHHO and other reported algorithms by Wilcoxon test on the benchmark function.

    P -values for SGHHO and other reported algorithms by Wilcoxon test on the benchmark function. by Qiong Wu (84327)

    Published 2023
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  16. 16
    Illustration of the unrestricted model and its training algorithm.

    Illustration of the unrestricted model and its training algorithm. by Yuru Song (21300760)

    Published 2025
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  17. 17
    A flow diagram to explain the algorithm named 2BDP (Biomarker Discovery Process at Binomial Decision Point) that we used to find the best fitting model to predict RRiF.

    A flow diagram to explain the algorithm named 2BDP (Biomarker Discovery Process at Binomial Decision Point) that we used to find the best fitting model to predict RRiF. by Nabarun Chakraborty (535772)

    Published 2024
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  18. 18
    “trend+var” algorithm.

    “trend+var” algorithm. by Roman Olson (6577004)

    Published 2019
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  19. 19
    Algorithm pseudocode.

    Algorithm pseudocode. by Cheng-jie Chen (22272090)

    Published 2025
    Subjects: “…Cell Biology…”
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  20. 20
    Comparison of algorithm search curves.

    Comparison of algorithm search curves. by Bowen Li (200859)

    Published 2023
    “…The optimal parameters such as the width and weight of RBF are determined, and the optimal RDC-RBF fault diagnosis model is established. The model is applied to the diagnosis of different fault types of pumping units, and compared with the current mainstream models. …”
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