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Showing 81 - 100 results of 2,875 for search '(( ((algorithms within) OR (algorithm from)) function ) OR ( algorithm python function ))*', query time: 0.49s Refine Results
  1. 81
    Time-sharing tariff.

    Time-sharing tariff. by Jihui Hu (19812736)

    Published 2024
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  2. 82
    A detailed process of iterative simulation coupled with bone density algorithm; (a) a function of stimulus and related bone density changes, and (b) iterative calculations of finite element analysis coupled with user’s subroutine for changes in bone density.

    A detailed process of iterative simulation coupled with bone density algorithm; (a) a function of stimulus and related bone density changes, and (b) iterative calculations of finit... by Hassan Mehboob (8960273)

    Published 2025
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  3. 83
    Types of training algorithms.

    Types of training algorithms. by Caixia Yan (6647072)

    Published 2025
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  4. 84
    R-squared comparison of test function.

    R-squared comparison of test function. by Kejia Liu (5699651)

    Published 2025
    “…The escape rate from local optima within DGEP reached 35% higher than what standard GEP could achieve. …”
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  5. 85
    Algorithm comparison experiment on the NWPU VHR-10 dataset.

    Algorithm comparison experiment on the NWPU VHR-10 dataset. by Pingping Yan (462509)

    Published 2025
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  6. 86
    A. Mean change from baseline on Cognitive Ability Scores.

    A. Mean change from baseline on Cognitive Ability Scores. by Carol Kotliar (22351525)

    Published 2025
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  7. 87
    Levy function processing time and deviations from constraint for .

    Levy function processing time and deviations from constraint for . by Shikun Chen (14625352)

    Published 2025
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  8. 88
    Rastrigin function processing time and deviations from constraint for .

    Rastrigin function processing time and deviations from constraint for . by Shikun Chen (14625352)

    Published 2025
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  9. 89
    Levy function processing time and deviations from constraint for .

    Levy function processing time and deviations from constraint for . by Shikun Chen (14625352)

    Published 2025
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  10. 90
    Rosenbrock function processing time and deviations from constraint for .

    Rosenbrock function processing time and deviations from constraint for . by Shikun Chen (14625352)

    Published 2025
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  11. 91
    Rastrigin function processing time and deviations from constraint for .

    Rastrigin function processing time and deviations from constraint for . by Shikun Chen (14625352)

    Published 2025
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  12. 92
    Rastrigin function processing time and deviations from constraint for .

    Rastrigin function processing time and deviations from constraint for . by Shikun Chen (14625352)

    Published 2025
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  13. 93
    Rosenbrock function processing time and deviations from constraint for .

    Rosenbrock function processing time and deviations from constraint for . by Shikun Chen (14625352)

    Published 2025
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  14. 94
    Levy function processing time and deviations from constraint for .

    Levy function processing time and deviations from constraint for . by Shikun Chen (14625352)

    Published 2025
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  15. 95
    Rastrigin function processing time and deviations from constraint for .

    Rastrigin function processing time and deviations from constraint for . by Shikun Chen (14625352)

    Published 2025
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  16. 96
    Rosenbrock function processing time and deviations from constraint for .

    Rosenbrock function processing time and deviations from constraint for . by Shikun Chen (14625352)

    Published 2025
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  17. 97
    Levy function processing time and deviations from constraint for .

    Levy function processing time and deviations from constraint for . by Shikun Chen (14625352)

    Published 2025
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  18. 98
    Classification algorithm implemented in SPARTA.

    Classification algorithm implemented in SPARTA. by Baptiste Ruiz (20285217)

    Published 2024
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  19. 99
    Comparison of different algorithms.

    Comparison of different algorithms. by Dawei Wang (471687)

    Published 2025
    “…A sophisticated optimization model has been developed to simulate the optimal operation of machinery, aiming to maximize equipment utilization efficiency while addressing the challenges posed by worker fatigue. An innovative algorithm, the improved hybrid gray wolf and whale algorithm fused with a penalty function for construction machinery optimization (IHWGWO), is introduced, incorporating a penalty function to handle constraints effectively. …”
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  20. 100
    The phase-field function for three different network configurations considered in this work.

    The phase-field function for three different network configurations considered in this work. by Martina Bukač (20161460)

    Published 2024
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