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Showing 41 - 60 results of 1,359 for search '(( algorithm relu function ) OR ((( algorithm python function ) OR ( algorithm step function ))))*', query time: 0.50s Refine Results
  1. 41
    Comparison of step size 0.1 with the actual energy consumption step count.

    Comparison of step size 0.1 with the actual energy consumption step count. by Zhiqun Lin (1429501)

    Published 2023
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  2. 42
    Flowchart of DAPF-RRT algorithm.

    Flowchart of DAPF-RRT algorithm. by Zhenggang Wang (1753657)

    Published 2025
    Subjects: “…target gravitational function…”
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  3. 43
    Performance comparison of different algorithms.

    Performance comparison of different algorithms. by Zhenggang Wang (1753657)

    Published 2025
    Subjects: “…target gravitational function…”
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  4. 44
    The loss curves of different classification and detection algorithms varying with the iteration number.

    The loss curves of different classification and detection algorithms varying with the iteration number. by Zongchen Li (12476737)

    Published 2022
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  5. 45
    The precision curves of different classification and detection algorithms varying with the iteration number.

    The precision curves of different classification and detection algorithms varying with the iteration number. by Zongchen Li (12476737)

    Published 2022
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  6. 46
    EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit

    EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit by Gonzalo Colmenarejo (650249)

    Published 2025
    “…In this paper, a new RDKit/Python implementation of the algorithm is described, that is both accurate and complete. …”
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  7. 47
    TITR Algorithm Overview. The workflow of the TITR algorithm is shown describing each step, the tools used, specific conditions, and the output.

    TITR Algorithm Overview. The workflow of the TITR algorithm is shown describing each step, the tools used, specific conditions, and the output. by Bradley Crone (19346873)

    Published 2024
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  8. 48
    Schematic diagram of dynamic step size expansion.

    Schematic diagram of dynamic step size expansion. by Zhenggang Wang (1753657)

    Published 2025
    Subjects: “…target gravitational function…”
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  9. 49
    Reconstruction errors and their variability due to stochastic steps in the algorithms.

    Reconstruction errors and their variability due to stochastic steps in the algorithms. by Hanane Omichessan (4991552)

    Published 2019
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  10. 50
    The optimal solution set of NYN by using different algorithms.

    The optimal solution set of NYN by using different algorithms. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  11. 51
    The optimal solution set of HN by using different algorithms.

    The optimal solution set of HN by using different algorithms. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  12. 52
    Comparison of edge detector and CHT in detecting droplets.

    Comparison of edge detector and CHT in detecting droplets. by Manibarathi Vaithiyanathan (6655274)

    Published 2019
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  13. 53
    Schematic diagram of RRT-Connect algorithm expansion.

    Schematic diagram of RRT-Connect algorithm expansion. by Zhenggang Wang (1753657)

    Published 2025
    Subjects: “…target gravitational function…”
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  14. 54
    Node matching step 1.

    Node matching step 1. by Shuwen Wang (457921)

    Published 2023
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  15. 55
    Convergence of the Cut Value of QFMA as a function of steps for the G1 problem.

    Convergence of the Cut Value of QFMA as a function of steps for the G1 problem. by Máté Tibor Veszeli (12160786)

    Published 2022
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  16. 56
    Comparison of experimental results in path steps for 8–12 irregular obstacles.

    Comparison of experimental results in path steps for 8–12 irregular obstacles. by Ying Li (38224)

    Published 2022
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  17. 57
    Visualization of the RITSS algorithm.

    Visualization of the RITSS algorithm. by Julian Hecker (758791)

    Published 2022
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  18. 58
    Python scripts used to model CPU errors by Poisson distribution density mass function and to draw graph of Poisson events (needs Matplot, SciPy, PysimpleGUI and NumPy)

    Python scripts used to model CPU errors by Poisson distribution density mass function and to draw graph of Poisson events (needs Matplot, SciPy, PysimpleGUI and NumPy) by Santhosh Kumar Rajamani (13023678)

    Published 2022
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  19. 59
    The real NGD values, one-step ahead training set predictions, and multi-step ahead test set predictions using the AI-AFTER algorithm for Kayseri.

    The real NGD values, one-step ahead training set predictions, and multi-step ahead test set predictions using the AI-AFTER algorithm for Kayseri. by Burak Alakent (463512)

    Published 2025
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  20. 60
    Solving steps.

    Solving steps. by Mengkai Liu (13919242)

    Published 2022
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