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Showing 161 - 180 results of 12,364 for search '(( algorithm 1 function ) OR ((( algorithm python function ) OR ( algorithms npc function ))))', query time: 1.32s Refine Results
  1. 161
    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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  2. 162
    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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  3. 163
    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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  4. 164
    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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  5. 165
    Algorithm results based on FE simulated likelihood functions.

    Algorithm results based on FE simulated likelihood functions. by Nicolas Herzig (9230425)

    Published 2020
    “…<p>(A) Nodule depth estimation by the algorithm with the likelihood functions obtained by FEM simulation. …”
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  6. 166
    An example of our color correction algorithm (with primary surface function <i>f</i><sub>1</sub>).

    An example of our color correction algorithm (with primary surface function <i>f</i><sub>1</sub>). by Guixiang Zhang (383795)

    Published 2023
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  7. 167
    WST results for LLSKSO and other algorithms on benchmark test functions. (<i>α</i> = 0.05).

    WST results for LLSKSO and other algorithms on benchmark test functions. (<i>α</i> = 0.05). by Ruyi Dong (9038174)

    Published 2025
    “…<p>WST results for LLSKSO and other algorithms on benchmark test functions. (<i>α</i> = 0.05).…”
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  8. 168
    WST results for LLSKSO and other algorithms on benchmark test functions. (<i>α</i> = 0.05).

    WST results for LLSKSO and other algorithms on benchmark test functions. (<i>α</i> = 0.05). by Ruyi Dong (9038174)

    Published 2025
    “…<p>WST results for LLSKSO and other algorithms on benchmark test functions. (<i>α</i> = 0.05).…”
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  9. 169
    Loss function variation curve.

    Loss function variation curve. by Chunhua Yang (346871)

    Published 2025
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  10. 170
    Simulations details for the Rosenbrock function.

    Simulations details for the Rosenbrock function. by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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  11. 171
    Simulations details for the Rastrigin function.

    Simulations details for the Rastrigin function. by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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  12. 172
    Non-converging numerical solution of the non-linear equation system through the iterations <i>p</i> using the Newton-Raphson algorithm and the Levenberg–Marquardt algorithm.

    Non-converging numerical solution of the non-linear equation system through the iterations <i>p</i> using the Newton-Raphson algorithm and the Levenberg–Marquardt algorithm. by Martin Dodek (20623832)

    Published 2025
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  13. 173
    F1-scores of anomaly detection algorithms.

    F1-scores of anomaly detection algorithms. by GaoXiang Zhao (21499525)

    Published 2025
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  14. 174
    Global optima for objective functions <i>f</i><sub>1</sub> –<i>f</i><sub>14</sub>.

    Global optima for objective functions <i>f</i><sub>1</sub> –<i>f</i><sub>14</sub>. by Panagiotis Aivaliotis-Apostolopoulos (13851171)

    Published 2022
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  15. 175
    Tunable parameters in stimuli generation module. <sup><i>a</i></sup>The fixation cross is displayed once before an experiment starts to help subjects concentrate. <sup><i>b</i></sup>Different stimuli are displayed equally. If desired by the user, some stimuli can be displayed more/less frequently by assigning them a higher/lower weight.

    Tunable parameters in stimuli generation module. <sup><i>a</i></sup>The fixation cross is displayed once before an experiment starts to help subjects concentrate. <sup><i>b</i></su... by Gursimran Singh (575288)

    Published 2025
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  16. 176
    Benchmark functions.

    Benchmark functions. by Xiaowen Zhang (83669)

    Published 2023
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  17. 177
    Genetic algorithm process of this paper.

    Genetic algorithm process of this paper. by Jiajie Liu (4560088)

    Published 2022
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  18. 178
    Study proposed algorithm.

    Study proposed algorithm. by Ainhoa Pérez-Guerrero (21377457)

    Published 2025
    Subjects: “…assess microvascular function…”
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  19. 179
    Standard benchmark functions used for the experimentation of EOSA and other similar optimization algorithms.

    Standard benchmark functions used for the experimentation of EOSA and other similar optimization algorithms. by Tehnan I. A. Mohamed (16846175)

    Published 2023
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  20. 180
    Distribution of FEV1/FVC in pulmonary function tests with discrepant interpretations between the algorithm and the clinicians.

    Distribution of FEV1/FVC in pulmonary function tests with discrepant interpretations between the algorithm and the clinicians. by Yuh-Chin T. Huang (17867207)

    Published 2024
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