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Showing 1 - 20 results of 15,856 for search '(((( algorithm using function ) OR ( algorithm based function ))) OR ( algorithm f1 function ))', query time: 0.90s Refine Results
  1. 1
    Unimodal benchmark functions (F1 to F7).

    Unimodal benchmark functions (F1 to F7). by El-Sayed M. El-kenawy (14581088)

    Published 2023
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  2. 2
    RMSE comparison in all test function (a) F1 (b) F2 (c) F3 (d) F4 (e) F5 (f) F6 (g) F7 (h) F8 (i) F9 (j) F10.

    RMSE comparison in all test function (a) F1 (b) F2 (c) F3 (d) F4 (e) F5 (f) F6 (g) F7 (h) F8 (i) F9 (j) F10. by Jin Ding (11522)

    Published 2023
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  3. 3
    Wavelet transform and scaling function.

    Wavelet transform and scaling function. by Menaa Nawaz (14304920)

    Published 2022
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  4. 4
    Flowchart of the clinical decision support system and the interpretable tropical geometry-based fuzzy neural network algorithm.

    Flowchart of the clinical decision support system and the interpretable tropical geometry-based fuzzy neural network algorithm. by Yufeng Zhang (195768)

    Published 2023
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  5. 5
    The process of function F in the improved Blowfish algorithm.

    The process of function F in the improved Blowfish algorithm. by Sathish Kaveripakam (16940710)

    Published 2023
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  6. 6
    Benchmark functions T-test for the proposed and compared algorithms.

    Benchmark functions T-test for the proposed and compared algorithms. by El-Sayed M. El-kenawy (14581088)

    Published 2023
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  7. 7
    F1 score of edges selected through cross-validation on the chain graph dataset.

    F1 score of edges selected through cross-validation on the chain graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
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  8. 8
    F1 score of a given number of selected edges on the chain graph dataset.

    F1 score of a given number of selected edges on the chain graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
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  9. 9
    F1 score of a given number of selected edges on the random graph dataset.

    F1 score of a given number of selected edges on the random graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
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  10. 10
    F1 score of edges selected through cross-validation on the random graph dataset.

    F1 score of edges selected through cross-validation on the random graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
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  11. 11
    Proposed algorithm convergence curves versus other competing algorithms for the seven benchmark functions.

    Proposed algorithm convergence curves versus other competing algorithms for the seven benchmark functions. by El-Sayed M. El-kenawy (14581088)

    Published 2023
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  12. 12
    Critical values of membership functions learned from the study cohort by the algorithm.

    Critical values of membership functions learned from the study cohort by the algorithm. by Yufeng Zhang (195768)

    Published 2023
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  13. 13
    F1-scores of anomaly detection algorithms.

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

    Published 2025
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  14. 14
    Curves of sigmoid functions used in our proposed algorithm.

    Curves of sigmoid functions used in our proposed algorithm. by Binh Thanh Dang (12368831)

    Published 2022
    “…<p>Curves of sigmoid functions used in our proposed algorithm.</p>…”
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  15. 15
    Proposed algorithm mean and standard deviation (StDev) versus compared algorithms for the benchmark functions.

    Proposed algorithm mean and standard deviation (StDev) versus compared algorithms for the benchmark functions. by El-Sayed M. El-kenawy (14581088)

    Published 2023
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  16. 16
    Illustration of methods based on Green’s function first-passage algorithms.

    Illustration of methods based on Green’s function first-passage algorithms. by Jean Marc Tregan (15195173)

    Published 2023
    “…<p>Illustration of methods based on Green’s function first-passage algorithms.…”
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  17. 17
    Flowchart for the genetic algorithm used in this article.

    Flowchart for the genetic algorithm used in this article. by Behnam Kia (6111551)

    Published 2020
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  18. 18
    The AD-PSO-Guided WOA LSTM algorithm RMSE is based on the objective function compared to different algorithms.

    The AD-PSO-Guided WOA LSTM algorithm RMSE is based on the objective function compared to different algorithms. by Ahmed M. Elshewey (21463867)

    Published 2025
    “…<p>The AD-PSO-Guided WOA LSTM algorithm RMSE is based on the objective function compared to different algorithms.…”
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  19. 19
    The used test functions in the evaluation.

    The used test functions in the evaluation. by Xuan Chen (158617)

    Published 2021
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  20. 20
    Box plot of the ADGWDTO and competing algorithms for the seven benchmark functions.

    Box plot of the ADGWDTO and competing algorithms for the seven benchmark functions. by El-Sayed M. El-kenawy (14581088)

    Published 2023
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