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Showing 641 - 660 results of 2,098 for search '(((( algorithm where function ) OR ( algorithm steps function ))) OR ( algorithm python function ))', query time: 0.33s Refine Results
  1. 641
    Summary of related studies.

    Summary of related studies. by Yanyan Dong (1304145)

    Published 2025
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  2. 642
    Defuzzification Output related to .

    Defuzzification Output related to . by Yanyan Dong (1304145)

    Published 2025
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  3. 643
    Contribution of aggregated rules in .

    Contribution of aggregated rules in . by Yanyan Dong (1304145)

    Published 2025
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  4. 644
    Relationship analysis between .

    Relationship analysis between . by Yanyan Dong (1304145)

    Published 2025
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  5. 645
    List of generated rules.

    List of generated rules. by Yanyan Dong (1304145)

    Published 2025
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  6. 646
    parameter settings.

    parameter settings. by Yanyan Dong (1304145)

    Published 2025
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  7. 647
    parameter settings.

    parameter settings. by Yanyan Dong (1304145)

    Published 2025
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  8. 648
    Pseudocode for fuzzification.

    Pseudocode for fuzzification. by Yanyan Dong (1304145)

    Published 2025
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  9. 649
    Overall Structure of FuzzyMath-based financial efficiency prediction.

    Overall Structure of FuzzyMath-based financial efficiency prediction. by Yanyan Dong (1304145)

    Published 2025
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  10. 650
    Tapping on the Black Box: How Is the Scoring Power of a Machine-Learning Scoring Function Dependent on the Training Set?

    Tapping on the Black Box: How Is the Scoring Power of a Machine-Learning Scoring Function Dependent on the Training Set? by Minyi Su (1425976)

    Published 2020
    “…Model scoring functions were derived with these machine-learning algorithms on various training sets selected from over 3700 protein–ligand complexes in the PDBbind refined set (version 2016). …”
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  11. 651
    Principal component analysis (PCA) of sub-layer mean intensities.

    Principal component analysis (PCA) of sub-layer mean intensities. by Maëlle Vilbert (17101954)

    Published 2023
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  12. 652
    Data fitting and inference of the time-dependent parameters by TDINN algorithm for the local outbreaks in Xi’an, Guangzhou, and Yangzhou.

    Data fitting and inference of the time-dependent parameters by TDINN algorithm for the local outbreaks in Xi’an, Guangzhou, and Yangzhou. by Mengqi He (5753525)

    Published 2023
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  13. 653
    Out-of-distribution prediction and performance of predictive models as a function of sample diversity.

    Out-of-distribution prediction and performance of predictive models as a function of sample diversity. by Oualid Benkarim (9707986)

    Published 2022
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  14. 654
    Particle swarm optimization (PSO) algorithm to identify parameter values of model C-fiber axons and meet performance criteria.

    Particle swarm optimization (PSO) algorithm to identify parameter values of model C-fiber axons and meet performance criteria. by Brandon J. Thio (5351147)

    Published 2024
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  15. 655
    Locally sparse function-on-function regression

    Locally sparse function-on-function regression by Mauro Bernardi (418110)

    Published 2022
    “…Herein, we consider the case where both the response and covariates are functions. …”
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  16. 656
    A Functional Bayesian Model for Hydrogen–Deuterium Exchange Mass Spectrometry

    A Functional Bayesian Model for Hydrogen–Deuterium Exchange Mass Spectrometry by Oliver M. Crook (6013703)

    Published 2023
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  17. 657
    A Functional Bayesian Model for Hydrogen–Deuterium Exchange Mass Spectrometry

    A Functional Bayesian Model for Hydrogen–Deuterium Exchange Mass Spectrometry by Oliver M. Crook (6013703)

    Published 2023
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  18. 658
    Fig 1 -

    Fig 1 - by Yuqing Lei (11600190)

    Published 2022
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  19. 659
    Overview of the MITOMATICS pipeline.

    Overview of the MITOMATICS pipeline. by Sophie Charrasse (14885066)

    Published 2024
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  20. 660
    Handover percentage versus number of users.

    Handover percentage versus number of users. by Nada Ahmed Ezz-Eldien (17396553)

    Published 2023
    “…Lastly, the desired aims are formulated as an objective function, then the PSOGSA algorithm is used to reach the optimal values of both LF and SP, which will be considered when executing the handover algorithm. …”
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