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Showing 141 - 160 results of 6,795 for search '(((( algorithm both function ) OR ( algorithm python function ))) OR ( algorithm b function ))', query time: 0.50s Refine Results
  1. 141
    A comparison between the static Python-based visualizations of the p65 activity in activated fibroblasts and the dynamic, HTML-based visualizations that use these same reduction methods.

    A comparison between the static Python-based visualizations of the p65 activity in activated fibroblasts and the dynamic, HTML-based visualizations that use these same reduction me... by Hector Torres (11708207)

    Published 2025
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  2. 142
    Decision Graph to compute clusters according to Density Peak Clustering algorithm (Ref. [92]).

    Decision Graph to compute clusters according to Density Peak Clustering algorithm (Ref. [92]). by Rajdeep Kaur Grewal (12563150)

    Published 2022
    “…[<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010114#pcbi.1010114.ref092" target="_blank">92</a>]. For both, Model 1 (A) and Model 2 (B), we observed only one such cluster center to exist implying the presence of a single minimum cost function in the parameter range explored by the PSO. …”
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  3. 143
    3D modeling qualities of the AM multiple-template models built by including DOPE in the objective function of MODELLER.

    3D modeling qualities of the AM multiple-template models built by including DOPE in the objective function of MODELLER. by Giacomo Janson (8138517)

    Published 2019
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  4. 144
    The DCM functional elements.

    The DCM functional elements. by Paul Van Liedekerke (473296)

    Published 2022
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  5. 145
    Reconstructing <i>sparse</i>, binary patterns using message passing algorithms and PCA.

    Reconstructing <i>sparse</i>, binary patterns using message passing algorithms and PCA. by Sebastian Goldt (14522594)

    Published 2023
    “…<p>We plot the mse per pattern obtained by the AMP algorithm, <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010813#pcbi.1010813.e072" target="_blank">Eq (32)</a>, as a function of the effective noise Δ (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010813#pcbi.1010813.e032" target="_blank">9</a>), for random (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010813#pcbi.1010813.e044" target="_blank">15</a>) and informed (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010813#pcbi.1010813.e045" target="_blank">16</a>) initialisations. …”
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  6. 146
    Information of nodes and pipes of NYN.

    Information of nodes and pipes of NYN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  7. 147
    The topology of the NYN.

    The topology of the NYN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  8. 148
    The result of Wilcoxon signed-rand test.

    The result of Wilcoxon signed-rand test. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  9. 149
    The Simulation and optimization process of pipe diameter selection.

    The Simulation and optimization process of pipe diameter selection. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  10. 150
    Optional pipe diameter and unit price of NYN.

    Optional pipe diameter and unit price of NYN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  11. 151
    Optional pipe diameter and unit price of HN.

    Optional pipe diameter and unit price of HN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  12. 152
    The topology of HN.

    The topology of HN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  13. 153
    Information of nodes and pipes of HN.

    Information of nodes and pipes of HN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  14. 154
    Experiment 1b: Evaluating modularity-based consensus clustering pipelines on the algorithm design datasets as a function of the mixing parameter.

    Experiment 1b: Evaluating modularity-based consensus clustering pipelines on the algorithm design datasets as a function of the mixing parameter. by Yasamin Tabatabaee (18095491)

    Published 2025
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  15. 155
    MSEs for the adaptive filtering algorithms by using hyperbolic functions.

    MSEs for the adaptive filtering algorithms by using hyperbolic functions. by Sihai Guan (11547518)

    Published 2021
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  16. 156
    MSEs for the adaptive filtering algorithms by using hyperbolic functions.

    MSEs for the adaptive filtering algorithms by using hyperbolic functions. by Sihai Guan (11547518)

    Published 2021
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  17. 157
    MSEs for the adaptive filtering algorithms by using hyperbolic functions.

    MSEs for the adaptive filtering algorithms by using hyperbolic functions. by Sihai Guan (11547518)

    Published 2021
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  18. 158
    MSEs for the adaptive filtering algorithms by using hyperbolic functions.

    MSEs for the adaptive filtering algorithms by using hyperbolic functions. by Sihai Guan (11547518)

    Published 2021
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  19. 159
    Line charts of the elbow method and the k-value selection algorithm: (A) elbow method; (B) k-value selection algorithm.

    Line charts of the elbow method and the k-value selection algorithm: (A) elbow method; (B) k-value selection algorithm. by Jingnan Yan (20727331)

    Published 2025
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  20. 160
    Distribution of objective function values solved by three algorithms.

    Distribution of objective function values solved by three algorithms. by Meilin Zhu (688698)

    Published 2025
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