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Showing 1 - 20 results of 1,274 for search '(( algorithm flow function ) OR ((( algorithm python function ) OR ( algorithm blood function ))))*', query time: 0.43s Refine Results
  1. 1
    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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  2. 2
    Listed python codes of our algorithm with explanations (Python 3.9 recommended).

    Listed python codes of our algorithm with explanations (Python 3.9 recommended). by Takayuki Niizato (162226)

    Published 2023
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  3. 3
    Effect of model hyperparameters on decision function.

    Effect of model hyperparameters on decision function. by Bernhard Vennemann (7434353)

    Published 2019
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  4. 4
    Prediction performance of different optimization algorithms.

    Prediction performance of different optimization algorithms. by Ali-Kemal Aydin (10968731)

    Published 2021
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  5. 5
    Automated diagnosis of heart valve degradation using novelty detection algorithms and machine learning

    Automated diagnosis of heart valve degradation using novelty detection algorithms and machine learning by Bernhard Vennemann (7434353)

    Published 2019
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  6. 6
    Comparison of deconvolution and optimization algorithms on a batch of data.

    Comparison of deconvolution and optimization algorithms on a batch of data. by Ali-Kemal Aydin (10968731)

    Published 2021
    “…Both experimental data have been resampled at 50ms and used to compute a set of TFs (in orange) either with direct deconvolution approaches (Fourier or Toeplitz methods, middle-upper panel TFs) or with 1-Γ function optimization performed by 3 different algorithms (middle-lower panel TFs). …”
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  7. 7
    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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  8. 8
    Principle of novelty detection in cardiac flow patterns.

    Principle of novelty detection in cardiac flow patterns. by Bernhard Vennemann (7434353)

    Published 2019
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  9. 9
    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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  10. 10
    Workflow from data acquisition to automated diagnostics.

    Workflow from data acquisition to automated diagnostics. by Bernhard Vennemann (7434353)

    Published 2019
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  11. 11
    Valve during diastole with inserts creating an artificial leak.

    Valve during diastole with inserts creating an artificial leak. by Bernhard Vennemann (7434353)

    Published 2019
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  12. 12
    Test section including model of the aortic root with BHV and a flow sensor at the ascending aorta.

    Test section including model of the aortic root with BHV and a flow sensor at the ascending aorta. by Bernhard Vennemann (7434353)

    Published 2019
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  13. 13
    Sinusoidal fit to the measurement data.

    Sinusoidal fit to the measurement data. by Bernhard Vennemann (7434353)

    Published 2019
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  14. 14
    The phases of automated BHV monitoring.

    The phases of automated BHV monitoring. by Bernhard Vennemann (7434353)

    Published 2019
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  15. 15
    Baseline one-class SVM model.

    Baseline one-class SVM model. by Bernhard Vennemann (7434353)

    Published 2019
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  16. 16
    Bar plots of MCI for different AR scenarios.

    Bar plots of MCI for different AR scenarios. by Bernhard Vennemann (7434353)

    Published 2019
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  17. 17
    Steps of data preprocessing.

    Steps of data preprocessing. by Bernhard Vennemann (7434353)

    Published 2019
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  18. 18
    Mild AR scenario measurement overlaid onto the baseline model.

    Mild AR scenario measurement overlaid onto the baseline model. by Bernhard Vennemann (7434353)

    Published 2019
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  19. 19
    Example of landmark registration to align ‘peaks’ of high density in the probability density function (PDF) of CD4 expression on blood T cells for a target distribution and chosen reference.

    Example of landmark registration to align ‘peaks’ of high density in the probability density function (PDF) of CD4 expression on blood T cells for a target distribution and chosen... by Ross J. Burton (10941910)

    Published 2021
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  20. 20
    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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