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Showing 1 - 20 results of 14,393 for search '(((( algorithm used function ) OR ( algorithm phase function ))) OR ( algorithm b function ))', query time: 0.73s Refine Results
  1. 1
    The execution times (nano seconds) per particle are measured for four different algorithms [47], (A: first algorithm, B: second algorithm, C: third algorithm: and D: fourth algorithm) using the DE5 FFPGA, GTX 580 GPU, GTX Titan Black and GTX Titan X.

    The execution times (nano seconds) per particle are measured for four different algorithms [47], (A: first algorithm, B: second algorithm, C: third algorithm: and D: fourth algorit... by Abedalmuhdi Almomany (18547669)

    Published 2024
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  2. 2
    <b>Opti2Phase</b>: Python scripts for two-stage focal reducer

    <b>Opti2Phase</b>: Python scripts for two-stage focal reducer by Morgan Najera (21540776)

    Published 2025
    “…<p dir="ltr"><b>Opti2Phase: Python Scripts for Two-Stage Focal Reducer Design</b></p><p dir="ltr">The folder <b>Opti2Phase</b> contains the Python scripts used to generate the results presented in the manuscript. …”
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  3. 3
    Limitation of the conventional DBT reconstruction algorithm.

    Limitation of the conventional DBT reconstruction algorithm. by Yunsu Choi (11993484)

    Published 2022
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  4. 4
    Verification of the in-line PS function.

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

    Published 2022
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  5. 5
    Phase diagram for global archetype model as a function of temperature.

    Phase diagram for global archetype model as a function of temperature. by Giulio Ruffini (383994)

    Published 2023
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  6. 6
    Pseudo algorithm of the GA algorithm used in this study.

    Pseudo algorithm of the GA algorithm used in this study. by Tuan Anh Pham (1346049)

    Published 2020
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  7. 7
    Flowchart of the general algorithm for one trial.

    Flowchart of the general algorithm for one trial. by Junying Wang (509009)

    Published 2025
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  8. 8
    Diagram of the algorithm used during the training phase.

    Diagram of the algorithm used during the training phase. by Ana P. Arantes (17131753)

    Published 2023
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  9. 9
    Loss functions used in the synthetic data analysis to assess the numerical accuracy of the B-net and D-net estimates.

    Loss functions used in the synthetic data analysis to assess the numerical accuracy of the B-net and D-net estimates. by Jarod Smith (11999040)

    Published 2022
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  10. 10
    (a): These systems were simulated for (0,3] and (0,3] without the prior knowledge about different phases, and the probability density function of points in feature space illustrates the dense areas as lighter color with a contour-plot.

    (a): These systems were simulated for (0,3] and (0,3] without the prior knowledge about different phases, and the probability density function of points in feature space illustrate... by Ali Talebi (7164203)

    Published 2025
    “…(b): The dense areas are separated by removing the data less than threshold = 0.5 in the probability density function. …”
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  11. 11
    One iteration of the NSGA-II algorithm.

    One iteration of the NSGA-II algorithm. by Erick Axel Padilla-García (16839233)

    Published 2023
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  12. 12
    Results of the PSO-Kmeans-ANMS algorithm for the Rastrigin function.

    Results of the PSO-Kmeans-ANMS algorithm for the Rastrigin function. by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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  13. 13
    Results of the PSO-Kmeans-ANMS algorithm for the Rosenbrock function.

    Results of the PSO-Kmeans-ANMS algorithm for the Rosenbrock function. by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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  14. 14
    Comparison results on benchmark functions with traditional algorithms.

    Comparison results on benchmark functions with traditional algorithms. by Xiaoyi Zhang (577299)

    Published 2023
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  15. 15
    Convergence curves of the voltage profile improvement by using (a) the HFPSO algorithm and (b) the PSO algorithm.

    Convergence curves of the voltage profile improvement by using (a) the HFPSO algorithm and (b) the PSO algorithm. by Abdullah Khan (377292)

    Published 2020
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  16. 16
    Comparison of benchmark function results between improved algorithms.

    Comparison of benchmark function results between improved algorithms. by Xiaoyi Zhang (577299)

    Published 2023
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  17. 17
    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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  18. 18
    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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  19. 19
    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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  20. 20
    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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