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Showing 181 - 200 results of 1,402 for search '(((( algorithm steps function ) OR ( algorithm t4p function ))) OR ( algorithm python function ))', query time: 0.49s Refine Results
  1. 181
    Specificity values of IRBMO vs. other binary algorithms.

    Specificity values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

    Published 2025
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  2. 182
    Fitness values of IRBMO vs. other binary algorithms.

    Fitness values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

    Published 2025
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  3. 183
    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. 184
    Summary of classical and CEC-based benchmark test functions used in this study.

    Summary of classical and CEC-based benchmark test functions used in this study. by Mahmood A. Jumaah (22272371)

    Published 2025
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  5. 185
    PathOlOgics_RBCs Python Scripts.zip

    PathOlOgics_RBCs Python Scripts.zip by Ahmed Elsafty (16943883)

    Published 2023
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  6. 186
    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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  7. 187
    The number of inactive nodes as a function of time steps at higher values of <i>P</i> and <i>α</i> in (a) a random network and (b) a scale-free network.

    The number of inactive nodes as a function of time steps at higher values of <i>P</i> and <i>α</i> in (a) a random network and (b) a scale-free network. by Waseem Al-Aqqad (14123917)

    Published 2022
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  8. 188
    Flowchart of one iteration of the CE-Symm algorithm.

    Flowchart of one iteration of the CE-Symm algorithm. by Spencer E. Bliven (6672755)

    Published 2019
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  9. 189
    Multidomain, Automated Photopatterning of DNA-functionalized Hydrogels (MAPDH).

    Multidomain, Automated Photopatterning of DNA-functionalized Hydrogels (MAPDH). by Moshe Rubanov (7289156)

    Published 2024
    “…The algorithm incorporates a wash step between each round of patterning. …”
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  10. 190
    Functional pattern of the proposed method for depression detection.

    Functional pattern of the proposed method for depression detection. by Umme Marzia Haque (11846815)

    Published 2021
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  11. 191
    Radar chart of classification accuracy of IRBMO vs. other algorithms.

    Radar chart of classification accuracy of IRBMO vs. other algorithms. by Chenyi Zhu (9383370)

    Published 2025
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  12. 192
    Number of features selected for IRBMO vs. other binary algorithms.

    Number of features selected for IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

    Published 2025
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  13. 193
    Fitness values of IRBMO vs. other feature selection algorithm.

    Fitness values of IRBMO vs. other feature selection algorithm. by Chenyi Zhu (9383370)

    Published 2025
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  14. 194
    Classification accuracy values of IRBMO vs. other binary algorithms.

    Classification accuracy values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

    Published 2025
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  15. 195
    F-score values of IRBMO vs. other binary algorithms.

    F-score values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

    Published 2025
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  16. 196
    Iterative graph of IRBMO vs. other feature selection algorithms.

    Iterative graph of IRBMO vs. other feature selection algorithms. by Chenyi Zhu (9383370)

    Published 2025
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  17. 197
    Schematic diagram of the TEAPS algorithm.

    Schematic diagram of the TEAPS algorithm. by Yoshiaki Kariya (13767985)

    Published 2022
    “…To efficiently optimize BSR objective functions in g-LBFGS step, the objective function is changed in each subprocess as shown.…”
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  18. 198
    S and V shaped transfer functions.

    S and V shaped transfer functions. by Chenyi Zhu (9383370)

    Published 2025
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  19. 199
    Comparison of the fits of the original and mocked probability density functions to the long-tailed loglogistic, lognormal and generalized extreme value distributions.

    Comparison of the fits of the original and mocked probability density functions to the long-tailed loglogistic, lognormal and generalized extreme value distributions. by Michael Smith (26855)

    Published 2019
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  20. 200
    Code snippets to add user-specific custom functionality in PyNoetic.

    Code snippets to add user-specific custom functionality in PyNoetic. by Gursimran Singh (575288)

    Published 2025
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