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Showing 21 - 40 results of 10,548 for search '(( algorithms less function ) OR ((( algorithm python function ) OR ( algorithm model function ))))', query time: 0.80s Refine Results
  1. 21
    Framework of the proposed algorithm.

    Framework of the proposed algorithm. by Jia Li (160557)

    Published 2025
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  2. 22
    The accuracy of different algorithms for TMD on SHL and HTC datasets.

    The accuracy of different algorithms for TMD on SHL and HTC datasets. by Rui Li (4631)

    Published 2025
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  3. 23
    Geometric interpretation and data visualisation equivalent describing the DI algorithmic pipeline.

    Geometric interpretation and data visualisation equivalent describing the DI algorithmic pipeline. by Borjan Milinkovic (21349908)

    Published 2025
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  4. 24
    Summary of the existing objective functions for multi-period HHC.

    Summary of the existing objective functions for multi-period HHC. by Tipaluck Krityakierne (12666825)

    Published 2022
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  5. 25
    Target detection results (the detection results of proposed algorithm are on the left and YOLOv7 is on the middle YOLOv8-n is on the right).

    Target detection results (the detection results of proposed algorithm are on the left and YOLOv7 is on the middle YOLOv8-n is on the right). by Xiangqian Xu (17310895)

    Published 2024
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  6. 26
    Loss function curve.

    Loss function curve. by Xiangqian Xu (17310895)

    Published 2024
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  7. 27
    F1-Score of different algorithms for TMD on SHL dataset.

    F1-Score of different algorithms for TMD on SHL dataset. by Rui Li (4631)

    Published 2025
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  8. 28
    F1-Score of different algorithms for TMD on HTC dataset.

    F1-Score of different algorithms for TMD on HTC dataset. by Rui Li (4631)

    Published 2025
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  9. 29
    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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  10. 30
    The topology of the NYN.

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

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  11. 31
    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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  12. 32
    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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  13. 33
    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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  14. 34
    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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  15. 35
    The topology of HN.

    The topology of HN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  16. 36
    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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  17. 37
    Cost functions implemented in Neuroptimus.

    Cost functions implemented in Neuroptimus. by Máté Mohácsi (20469514)

    Published 2024
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  18. 38
    Target detection results in different scenes (the detection results of proposed algorithm are on the left and YOLOv7 is on the middle YOLOv8-n is on the right).

    Target detection results in different scenes (the detection results of proposed algorithm are on the left and YOLOv7 is on the middle YOLOv8-n is on the right). by Xiangqian Xu (17310895)

    Published 2024
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  19. 39
    Wavelet transform and scaling function.

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

    Published 2022
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  20. 40
    Machine learning algorithm parameters.

    Machine learning algorithm parameters. by Namal Rathnayake (15361124)

    Published 2023
    “…Results of the study showcased that both systems can simulate river flows as a function of catchment rainfalls; however, the Cat gradient Boosting algorithm (CatBoost) has a computational edge over the Adaptive Network Based Fuzzy Inference System (ANFIS). …”
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