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algorithm blood » algorithm based (Expand Search), algorithm flow (Expand Search), algorithm both (Expand Search)
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Showing 1 - 20 results of 279 for search '(( algorithm pre function ) OR ( algorithm blood function ))', query time: 0.45s Refine Results
  1. 1
    Workflow of our study to evaluate the performance of GNNs compared to benchmark algorithms.

    Workflow of our study to evaluate the performance of GNNs compared to benchmark algorithms. by Daniel Walke (21680915)

    Published 2025
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  2. 2
    Average function evaluation times of the three optimization algorithms.

    Average function evaluation times of the three optimization algorithms. by Shuhui Yu (1535500)

    Published 2025
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  3. 3
    The benchmark functions.

    The benchmark functions. by Shuhui Yu (1535500)

    Published 2025
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  4. 4
    Parameters to configure the multi-staged vascularization using the PDCCO algorithm.

    Parameters to configure the multi-staged vascularization using the PDCCO algorithm. by Eduardo G. Zilves (22209247)

    Published 2025
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  5. 5
    Function <i>χ</i><sub><i>opt</i></sub> superimposed with the phase-field function indicating the channel geometry.

    Function <i>χ</i><sub><i>opt</i></sub> superimposed with the phase-field function indicating the channel geometry. by Martina Bukač (20161460)

    Published 2024
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  6. 6
    HIV exposure risk algorithm. HIV exposure risk algorithm based on available data from the Tonse Padmozi trial.

    HIV exposure risk algorithm. HIV exposure risk algorithm based on available data from the Tonse Padmozi trial. by Anna M. Leone (22486372)

    Published 2025
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  7. 7
    The phase-field function for three different network configurations considered in this work.

    The phase-field function for three different network configurations considered in this work. by Martina Bukač (20161460)

    Published 2024
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  8. 8
    Reagents, software, and algorithms used in the study with their sources for result reproduction.

    Reagents, software, and algorithms used in the study with their sources for result reproduction. by Aanchal Yadav (14206853)

    Published 2024
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  9. 9
    Explained variance ration of the PCA algorithm.

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

    Published 2025
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  10. 10
    Optimization Performance Comparison of Metaheuristic Algorithms.

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

    Published 2025
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  11. 11
    Data pre-processing and identification of DEGs.

    Data pre-processing and identification of DEGs. by Ziyang Liu (242055)

    Published 2025
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  12. 12
    Comprehensive Re, F1 and Pre values of FcaNet-CycleGAN model.

    Comprehensive Re, F1 and Pre values of FcaNet-CycleGAN model. by Xiaojun Wang (50332)

    Published 2025
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  13. 13
    Spike sorting performance dependence on pre-recording duration.

    Spike sorting performance dependence on pre-recording duration. by Tjitse van der Molen (20391106)

    Published 2024
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  14. 14
    Comparison of optimization performance of six ABC algorithms.

    Comparison of optimization performance of six ABC algorithms. by Shuhui Yu (1535500)

    Published 2025
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  15. 15
    Mathematical expressions, weight functions, domains, and orthogonality conditions of various orthogonal polynomials.

    Mathematical expressions, weight functions, domains, and orthogonality conditions of various orthogonal polynomials. by Abeer Aljohani (18497914)

    Published 2025
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  16. 16
    Cleavage time as a function of scaled fiber diameter.

    Cleavage time as a function of scaled fiber diameter. by Roukayatou R. Ouedraogo (20460980)

    Published 2024
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  17. 17
    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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  18. 18
    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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  19. 19
    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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  20. 20
    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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