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Showing 41 - 60 results of 11,112 for search '(( algorithm model function ) OR ( ((algorithm python) OR (algorithm within)) function ))*', query time: 0.53s Refine Results
  1. 41
    Workflow of the TITR algorithm.

    Workflow of the TITR algorithm. by Bradley Crone (19346873)

    Published 2024
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  2. 42
    Verification of the in-line PS function.

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

    Published 2022
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  3. 43
    Results of the application of different clustering algorithms to average functional connectivity from healthy subjects.

    Results of the application of different clustering algorithms to average functional connectivity from healthy subjects. by Francisco Páscoa dos Santos (16510676)

    Published 2023
    “…<p>A) Resulting cluster inertia from applying the k-means algorithm described in the methods to empirical averaged functional connectivity from healthy subjects, with different numbers of clusters. …”
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  4. 44
    Flowchart for Algorithm 1.

    Flowchart for Algorithm 1. by Sagvan Y. Musa (17797611)

    Published 2024
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  5. 45
    Flowchart for Algorithm 2.

    Flowchart for Algorithm 2. by Sagvan Y. Musa (17797611)

    Published 2024
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  6. 46
    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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  7. 47
    Exponent in memory kernel and intensity function.

    Exponent in memory kernel and intensity function. by Mariko I. Ito (5007323)

    Published 2024
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  8. 48
    Multi-algorithm comparison figure.

    Multi-algorithm comparison figure. by Dawei Wang (471687)

    Published 2025
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  9. 49
    ANOVA was performed to test the differences between the algorithms for each indicator.

    ANOVA was performed to test the differences between the algorithms for each indicator. by Jihui Hu (19812736)

    Published 2024
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  10. 50
    Comparison of proposed model with other methods using same datasets.

    Comparison of proposed model with other methods using same datasets. by Ahmed Bahaa (12887063)

    Published 2022
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  11. 51
    The detailed network structure model of CNN’s one-dimensional framework.

    The detailed network structure model of CNN’s one-dimensional framework. by Ahmed Bahaa (12887063)

    Published 2022
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  12. 52
    APSO–CNN algorithm’s minimal fitness values modified over iterations.

    APSO–CNN algorithm’s minimal fitness values modified over iterations. by Ahmed Bahaa (12887063)

    Published 2022
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  13. 53
    APSO–WOA–CNN and APSO–CNN algorithms’ accuracy training sets.

    APSO–WOA–CNN and APSO–CNN algorithms’ accuracy training sets. by Ahmed Bahaa (12887063)

    Published 2022
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  14. 54
    APSO–WOA–CNN and APSO–CNN algorithms’ accuracy validation sets.

    APSO–WOA–CNN and APSO–CNN algorithms’ accuracy validation sets. by Ahmed Bahaa (12887063)

    Published 2022
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  15. 55
    Evaluation information for eight different denoising algorithms.

    Evaluation information for eight different denoising algorithms. by Wuyi Li (2984439)

    Published 2024
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  16. 56
    Distribution of cross correlations in functional connectivity in ABIDE sample.

    Distribution of cross correlations in functional connectivity in ABIDE sample. by Alexandria M. Jensen (6494957)

    Published 2024
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  17. 57
    APSO–WOA–CNN algorithm’s minimal fitness values modified over iterations.

    APSO–WOA–CNN algorithm’s minimal fitness values modified over iterations. by Ahmed Bahaa (12887063)

    Published 2022
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  18. 58
    GD and soft loss function (Loss<sub>S</sub>) parameters are optimized through the hyperparameter tuning process within their search spaces.

    GD and soft loss function (Loss<sub>S</sub>) parameters are optimized through the hyperparameter tuning process within their search spaces. by Burcu Ozek (16949357)

    Published 2024
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  19. 59
    Sensitivity analysis of the TV-BayesOpt algorithm performance at tracking a periodic temporal drift when the period of the drift is offset from the covariance function period anticipated by the TV-BayesOpt algorithm.

    Sensitivity analysis of the TV-BayesOpt algorithm performance at tracking a periodic temporal drift when the period of the drift is offset from the covariance function period antic... by John E. Fleming (8533956)

    Published 2023
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  20. 60
    Average running time line graph of different algorithms.

    Average running time line graph of different algorithms. by Wuyi Li (2984439)

    Published 2024
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