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Showing 21 - 40 results of 1,002 for search '(( algorithm python function ) OR ((( algorithm blood function ) OR ( algorithm etc function ))))*', query time: 0.48s Refine Results
  1. 21
    Algorithm membership function.

    Algorithm membership function. by Mohamed Raef Smaoui (9865830)

    Published 2022
    “…<p>(Top) Input Membership Function. The algorithm classifies glucose input into 4 sets: low, medium, high, and ex_high. …”
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  2. 22
    Python scripts used to model CPU errors by Poisson distribution density mass function and to draw graph of Poisson events (needs Matplot, SciPy, PysimpleGUI and NumPy)

    Python scripts used to model CPU errors by Poisson distribution density mass function and to draw graph of Poisson events (needs Matplot, SciPy, PysimpleGUI and NumPy) by Santhosh Kumar Rajamani (13023678)

    Published 2022
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  3. 23
    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. 24
    Prediction performance of different optimization algorithms.

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

    Published 2021
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  5. 25
    Verification of the in-line PS function.

    Verification of the in-line PS function. by Raul Castañeda (13932971)

    Published 2022
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  6. 26
    Available functions in the utility package.

    Available functions in the utility package. by Raul Castañeda (13932971)

    Published 2022
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  7. 27
    Available functions in the phase-shifting package.

    Available functions in the phase-shifting package. by Raul Castañeda (13932971)

    Published 2022
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  8. 28
    Available functions in the numerical propagation package.

    Available functions in the numerical propagation package. by Raul Castañeda (13932971)

    Published 2022
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  9. 29
    Available functions in the phase reconstruction package.

    Available functions in the phase reconstruction package. by Raul Castañeda (13932971)

    Published 2022
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  10. 30
    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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  11. 31
    Compare algorithm parameter settings.

    Compare algorithm parameter settings. by Yuqi Xiong (12343771)

    Published 2025
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  12. 32
    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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  13. 33
    Algorithm for solving Eq (7).

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

    Published 2020
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  14. 34
    Algorithm for solving Eq (12).

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

    Published 2020
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  15. 35
    Python cv coding screenshots of all developed fingerprints on distinct surfaces.

    Python cv coding screenshots of all developed fingerprints on distinct surfaces. by Nisha Yadav (366131)

    Published 2024
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  16. 36
    A parabolic relationship between prediction errors and learning rates obtained by a cubic learning algorithm.

    A parabolic relationship between prediction errors and learning rates obtained by a cubic learning algorithm. by Boluwatife Ikwunne (22238697)

    Published 2025
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  17. 37
    Constructing the dynamical law.

    Constructing the dynamical law. by Robert Marsland (8616483)

    Published 2020
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  18. 38
    Definitions of global parameters used for constructing random ecosystems.

    Definitions of global parameters used for constructing random ecosystems. by Robert Marsland (8616483)

    Published 2020
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  19. 39
    Average quality scores of the models of the analysis set as a function of the <i>w</i><sub><i>SP</i></sub> with which the DOPE potential has been included in the objective function of MODELLER.

    Average quality scores of the models of the analysis set as a function of the <i>w</i><sub><i>SP</i></sub> with which the DOPE potential has been included in the objective function... by Giacomo Janson (8138517)

    Published 2019
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  20. 40
    Reward function related parameters.

    Reward function related parameters. by Honglei Pang (22693724)

    Published 2025
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