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Showing 121 - 140 results of 2,452 for search '(((( algorithm state functional ) OR ( algorithm ai function ))) OR ( algorithm python function ))', query time: 0.51s Refine Results
  1. 121
    The real NGD values, one-step ahead training set predictions, and multi-step ahead test set predictions using the AI-AFTER algorithm for Kayseri.

    The real NGD values, one-step ahead training set predictions, and multi-step ahead test set predictions using the AI-AFTER algorithm for Kayseri. by Burak Alakent (463512)

    Published 2025
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  2. 122
    Sound version of the SF transfer algorithm’s policy after learning for 25 episodes in scale task 2.

    Sound version of the SF transfer algorithm’s policy after learning for 25 episodes in scale task 2. by Lucas Lehnert (9525615)

    Published 2020
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  3. 123
    3D modeling qualities of the AM multiple-template models built by including DOPE in the objective function of MODELLER.

    3D modeling qualities of the AM multiple-template models built by including DOPE in the objective function of MODELLER. by Giacomo Janson (8138517)

    Published 2019
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  4. 124
    CEC2017 basic functions.

    CEC2017 basic functions. by Tengfei Ma (597633)

    Published 2025
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  5. 125
    A) Ranking of models trained on different feature sets across all tested algorithms, sorted by their F1-score.

    A) Ranking of models trained on different feature sets across all tested algorithms, sorted by their F1-score. by Jose Cleydson F. Silva (8685594)

    Published 2025
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  6. 126
    Information of nodes and pipes of NYN.

    Information of nodes and pipes of NYN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  7. 127
    The topology of the NYN.

    The topology of the NYN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  8. 128
    The result of Wilcoxon signed-rand test.

    The result of Wilcoxon signed-rand test. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  9. 129
    The Simulation and optimization process of pipe diameter selection.

    The Simulation and optimization process of pipe diameter selection. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  10. 130
    Optional pipe diameter and unit price of NYN.

    Optional pipe diameter and unit price of NYN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  11. 131
    Optional pipe diameter and unit price of HN.

    Optional pipe diameter and unit price of HN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  12. 132
    The topology of HN.

    The topology of HN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  13. 133
    Information of nodes and pipes of HN.

    Information of nodes and pipes of HN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  14. 134
    Schematic illustration of intensity functions and inter-event time densities.

    Schematic illustration of intensity functions and inter-event time densities. by Gerrit Großmann (9585147)

    Published 2020
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  15. 135
    The mean training time(s) of each algorithm on six datasets.

    The mean training time(s) of each algorithm on six datasets. by Wei Liu (20030)

    Published 2023
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  16. 136
    Mean ranks difference between each algorithm and SGWO.

    Mean ranks difference between each algorithm and SGWO. by Wei Liu (20030)

    Published 2023
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  17. 137
    Algorithmic image feature identification.

    Algorithmic image feature identification. by Alex T. Keeley (16612727)

    Published 2024
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  18. 138
    Practical rules for summing the series of the Tweedie probability density function with high-precision arithmetic

    Practical rules for summing the series of the Tweedie probability density function with high-precision arithmetic by NELSON L. DIAS (8078003)

    Published 2019
    “…With these practical rules, simple summation algorithms provide sufficiently robust results for the calculation of the density function and its definite integrals. …”
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  19. 139
    The experimental geometric placement adopted to assess metal artifact reduction employing the new denoising convolutional neural network metal artifact reduction hybrid reconstruction (DnCNN-MARHR) algorithm and conventional algorithms.

    The experimental geometric placement adopted to assess metal artifact reduction employing the new denoising convolutional neural network metal artifact reduction hybrid reconstruct... by Tsutomu Gomi (7382183)

    Published 2019
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  20. 140
    Comparisons among the denoising convolutional neural network metal artifact reduction hybrid reconstruction (DnCNN-MARHR) algorithm and the traditional reconstruction algorithms with metal artifact reduction (MAR) processing in the in-focus plane.

    Comparisons among the denoising convolutional neural network metal artifact reduction hybrid reconstruction (DnCNN-MARHR) algorithm and the traditional reconstruction algorithms wi... by Tsutomu Gomi (7382183)

    Published 2019
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