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Showing 101 - 120 results of 1,471 for search '(((( algorithm sine function ) OR ( algorithm step function ))) OR ( algorithm python function ))', query time: 0.55s Refine Results
  1. 101
    The weight vector iterative scheme of adaptive filters by using the hyperbolic function.

    The weight vector iterative scheme of adaptive filters by using the hyperbolic function. by Sihai Guan (11547518)

    Published 2021
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  2. 102
    Results of unimodal benchmark functions (F1–F7).

    Results of unimodal benchmark functions (F1–F7). by Xiaofeng Qu (577153)

    Published 2023
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  3. 103
    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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  4. 104
    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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  5. 105
    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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  6. 106
    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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  7. 107
    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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  8. 108
    Node matching step 1.

    Node matching step 1. by Shuwen Wang (457921)

    Published 2023
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  9. 109
    The results of the tested methods on 12 benchmarking functions of the STD values.

    The results of the tested methods on 12 benchmarking functions of the STD values. by Chuang Zhang (2199421)

    Published 2023
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  10. 110
    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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  11. 111
    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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  12. 112
    Visualization of the RITSS algorithm.

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

    Published 2022
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  13. 113
    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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  14. 114
    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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  15. 115
    Convergence curve of functions <i>f</i><sub><i>1</i></sub><i>-f</i><sub><i>10</i></sub> in D = 10.

    Convergence curve of functions <i>f</i><sub><i>1</i></sub><i>-f</i><sub><i>10</i></sub> in D = 10. by Yu Li (183836)

    Published 2021
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  16. 116
    Solving steps.

    Solving steps. by Mengkai Liu (13919242)

    Published 2022
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  17. 117
    Our algorithms process large data sets within a minute.

    Our algorithms process large data sets within a minute. by Manu Aggarwal (15990691)

    Published 2023
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  18. 118
    Comparison of algorithm search curves.

    Comparison of algorithm search curves. by Bowen Li (200859)

    Published 2023
    “…Finally, through dynamic adaptive cuckoo search (DACS), the step size is automatically adjusted according to the convergence speed of the objective function of RBF, and the efficiency and accuracy of RBF in different search stages are balanced. …”
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  19. 119
    Verification of the in-line PS function.

    Verification of the in-line PS function. by Raul Castañeda (13932971)

    Published 2022
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  20. 120
    Available functions in the utility package.

    Available functions in the utility package. by Raul Castañeda (13932971)

    Published 2022
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