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Showing 41 - 60 results of 10,260 for search '(( algorithm python function ) OR ((( algorithm setup function ) OR ( algorithm model function ))))', query time: 0.47s Refine Results
  1. 41
    Pseudocode of IHWGWO.

    Pseudocode of IHWGWO. by Dawei Wang (471687)

    Published 2025
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  2. 42
    Optimize process data and final results

    Optimize process data and final results by Dawei Wang (471687)

    Published 2025
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  3. 43
    Vehicle-related parameters.

    Vehicle-related parameters. by Dawei Wang (471687)

    Published 2025
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  4. 44
    Device parameter list.

    Device parameter list. by Dawei Wang (471687)

    Published 2025
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  5. 45
    The process of IHWGWO.

    The process of IHWGWO. by Dawei Wang (471687)

    Published 2025
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  6. 46
    The computational results of the case.

    The computational results of the case. by Dawei Wang (471687)

    Published 2025
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  7. 47
    Schematic diagram depicting the <i>in-vitro</i> co-culture model setup.

    Schematic diagram depicting the <i>in-vitro</i> co-culture model setup. by Elias Vera-Siguenza (16993830)

    Published 2023
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  8. 48
    Effect of the transmission probability function on epidemic spread.

    Effect of the transmission probability function on epidemic spread. by Soler Gabriela Bayolo (21011810)

    Published 2025
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  9. 49
    Diagram of the proposed solution algorithm.

    Diagram of the proposed solution algorithm. by Vytautas Abromavičius (22008573)

    Published 2025
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  10. 50
    Ablation experiment comparison method setup.

    Ablation experiment comparison method setup. by Yan Wei (32168)

    Published 2023
    “…Therefore, this study proposed a feature selection prediction model (bGEBA-SVM) based on an improved bat algorithm and support vector machine by extracting 1694 college graduates from 2022 classes in Zhejiang Province. …”
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  11. 51
    Steering system model.

    Steering system model. by Honglei Pang (22693724)

    Published 2025
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  12. 52
    Braking system model.

    Braking system model. by Honglei Pang (22693724)

    Published 2025
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  13. 53
    Selected features via our feature selection algorithm for baseline vs. VNS at 30 Hz (second scenario) and organized in a descending sequence of significance, as established by the Random Forest classifier.

    Selected features via our feature selection algorithm for baseline vs. VNS at 30 Hz (second scenario) and organized in a descending sequence of significance, as established by the... by Mahmoud Zeydabadinezhad (12289570)

    Published 2023
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  14. 54
    Selected features via our feature selection algorithm for baseline vs. VNS at 10 Hz (first scenario) and organized in a descending sequence of significance, as established by the Random Forest classifier.

    Selected features via our feature selection algorithm for baseline vs. VNS at 10 Hz (first scenario) and organized in a descending sequence of significance, as established by the R... by Mahmoud Zeydabadinezhad (12289570)

    Published 2023
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  15. 55
    The algorithm underlying neoVM.

    The algorithm underlying neoVM. by Tanmoy Sarkar (627505)

    Published 2024
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  16. 56
    Genetic algorithms can be applied to higher-dimensional design problems.

    Genetic algorithms can be applied to higher-dimensional design problems. by Lu Hong (399882)

    Published 2024
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  17. 57
    Data_Sheet_1_SDA: a data-driven algorithm that detects functional states applied to the EEG of Guhyasamaja meditation.docx

    Data_Sheet_1_SDA: a data-driven algorithm that detects functional states applied to the EEG of Guhyasamaja meditation.docx by Ekaterina Mikhaylets (17865407)

    Published 2024
    “…<p>The study presents a novel approach designed to detect time-continuous states in time-series data, called the State-Detecting Algorithm (SDA). The SDA operates on unlabeled data and detects optimal change-points among intrinsic functional states in time-series data based on an ensemble of Ward's hierarchical clustering with time-connectivity constraint. …”
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  18. 58
    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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  19. 59
    Experimental setup parameters.

    Experimental setup parameters. by Yunpeng Bai (1714087)

    Published 2024
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  20. 60
    Modular architecture design of PyNoetic showing all its constituent functions.

    Modular architecture design of PyNoetic showing all its constituent functions. by Gursimran Singh (575288)

    Published 2025
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