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Showing 941 - 960 results of 4,793 for search '(( algorithm flow function ) OR ((( algorithm python function ) OR ( algorithm a function ))))', query time: 0.54s Refine Results
  1. 941
    <i>I</i>-<i>U</i> characteristics using all investigated methods in Table 1: RTC-F solar cell.

    <i>I</i>-<i>U</i> characteristics using all investigated methods in Table 1: RTC-F solar cell. by Ziad M. Ali (12516532)

    Published 2024
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  2. 942
    <i>I</i>-<i>U</i> characteristics using all investigated methods in Table 2: PWP201 solar module.

    <i>I</i>-<i>U</i> characteristics using all investigated methods in Table 2: PWP201 solar module. by Ziad M. Ali (12516532)

    Published 2024
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  3. 943
    Overcoming limitations in sparse cell-type predictions for a biologically reliable task.

    Overcoming limitations in sparse cell-type predictions for a biologically reliable task. by Nuray Sogunmez Erdogan (21533872)

    Published 2025
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  4. 944
    Experiment 1a: Setting the default value for t in FastEnsemble.

    Experiment 1a: Setting the default value for t in FastEnsemble. by Yasamin Tabatabaee (18095491)

    Published 2025
    “…Left: Accuracy as a function of the model mixing parameter (x-axis). …”
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  5. 945
    Example 2-group, 3-group and 4-group groupings under a 3-group ground truth with their scores shown on the right.

    Example 2-group, 3-group and 4-group groupings under a 3-group ground truth with their scores shown on the right. by Yuanchen Zhao (12905580)

    Published 2024
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  6. 946
    The content of the speech.

    The content of the speech. by Li Jiashen (20552690)

    Published 2025
    “…The algorithm enhances the traditional Stockwell transform (S-transform) by incorporating a low-pass filtering function and introducing two adjustable parameters. …”
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  7. 947
    Time domain diagram of speech signal.

    Time domain diagram of speech signal. by Li Jiashen (20552690)

    Published 2025
    “…The algorithm enhances the traditional Stockwell transform (S-transform) by incorporating a low-pass filtering function and introducing two adjustable parameters. …”
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  8. 948
    Fig 10 -

    Fig 10 - by Li Jiashen (20552690)

    Published 2025
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  9. 949
    Fig 9 -

    Fig 9 - by Li Jiashen (20552690)

    Published 2025
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  10. 950
    Generalized S-transform result plots of the signal h(t) corresponding to the fixed parameter λ<sub><i>G</i></sub> = 2, adjusting the size of the parameter λ<sub><i>L</i></sub>.

    Generalized S-transform result plots of the signal h(t) corresponding to the fixed parameter λ<sub><i>G</i></sub> = 2, adjusting the size of the parameter λ<sub><i>L</i></sub>. by Li Jiashen (20552690)

    Published 2025
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  11. 951
    Fig 8 -

    Fig 8 - by Li Jiashen (20552690)

    Published 2025
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  12. 952
    Generalized S-transform result plots of the signal h(t) corresponding to the fixed parameter λ<sub><i>L</i></sub> = 10, adjusting the size of the parameter λ<sub><i>G</i></sub>.

    Generalized S-transform result plots of the signal h(t) corresponding to the fixed parameter λ<sub><i>L</i></sub> = 10, adjusting the size of the parameter λ<sub><i>G</i></sub>. by Li Jiashen (20552690)

    Published 2025
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  13. 953
    Fixing λ<sub><i>L</i></sub> = 1 and adjusting the size of λ<sub><i>G</i></sub>, with the gradual increase of λ<sub><i>G</i></sub>, the time resolution of the high-frequency part of the spectrogram gradually increases and the frequency resolution gradually decreases.

    Fixing λ<sub><i>L</i></sub> = 1 and adjusting the size of λ<sub><i>G</i></sub>, with the gradual increase of λ<sub><i>G</i></sub>, the time resolution of the high-frequency part of... by Li Jiashen (20552690)

    Published 2025
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  14. 954
    Fig 14 -

    Fig 14 - by Li Jiashen (20552690)

    Published 2025
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  15. 955
    Strahler number (<i>H</i>), branching ratio () and length ratio () as functions of relative age ().

    Strahler number (<i>H</i>), branching ratio () and length ratio () as functions of relative age (). by Jonathan E Kings (20818367)

    Published 2025
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  16. 956
    Graphical illustration of a spectral approach for training support vector machine.

    Graphical illustration of a spectral approach for training support vector machine. by Abeer Aljohani (18497914)

    Published 2025
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  17. 957
    Variation of the fitness function.

    Variation of the fitness function. by Jun Fu (163683)

    Published 2025
    “…By refining the algorithm to augment its parameter control capabilities and employing test functions for experimental comparisons, the improved algorithm exhibited accelerated convergence and increased accuracy. …”
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  18. 958
    Changes in Punishment Function.

    Changes in Punishment Function. by Huiyue Xu (12022388)

    Published 2025
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  19. 959
    General parameters setting.

    General parameters setting. by Mahmood A. Jumaah (22272371)

    Published 2025
    “…Additionally, it achieved 880 wins, 228 ties, and 348 losses against 16 optimization algorithms across all involved functions and problems. …”
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  20. 960
    Raw results.

    Raw results. by Mahmood A. Jumaah (22272371)

    Published 2025
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