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Showing 41 - 60 results of 9,286 for search '(((( algorithm three function ) OR ( algorithms loss function ))) OR ( algorithm python function ))', query time: 1.20s Refine Results
  1. 41
    Verification of the in-line PS function.

    Verification of the in-line PS function. by Raul Castañeda (13932971)

    Published 2022
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  2. 42
    3D modeling qualities of the AS single-template models built by including DOPE in the objective function of MODELLER.

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

    Published 2019
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  3. 43
    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. 44
    Denoising evaluation indicators for fingerprint images using different algorithms.

    Denoising evaluation indicators for fingerprint images using different algorithms. by Bingbing Li (461702)

    Published 2024
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  5. 45
    Structural changes of images after denoising using different algorithms.

    Structural changes of images after denoising using different algorithms. by Bingbing Li (461702)

    Published 2024
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  6. 46
    Search algorithm performance comparison.

    Search algorithm performance comparison. by Zhaohui Du (414105)

    Published 2025
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  7. 47
    Schematic of Fusion Loss calculation framewor.

    Schematic of Fusion Loss calculation framewor. by Chong Zhang (418677)

    Published 2025
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  8. 48
    FPS values of different methods on the three datasets.

    FPS values of different methods on the three datasets. by Xunqian Xu (21261899)

    Published 2025
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  9. 49
    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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  10. 50
    Performance comparison of different Fusion Loss parameters.

    Performance comparison of different Fusion Loss parameters. by Chong Zhang (418677)

    Published 2025
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  11. 51
    The network architecture of YOLOv8 comprises three parts.

    The network architecture of YOLOv8 comprises three parts. by Xunqian Xu (21261899)

    Published 2025
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  12. 52
    AP values of three loss functions on the three datasets, including four indicators: AP@50, AP@75, AP@M, and AP@L.

    AP values of three loss functions on the three datasets, including four indicators: AP@50, AP@75, AP@M, and AP@L. by Xunqian Xu (21261899)

    Published 2025
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  13. 53
    Comparison results of PSNR and MSE of color images under different algorithms.

    Comparison results of PSNR and MSE of color images under different algorithms. by Bingbing Li (461702)

    Published 2024
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  14. 54
    Comparison results of PSNR and MSE of gray images under different algorithms.

    Comparison results of PSNR and MSE of gray images under different algorithms. by Bingbing Li (461702)

    Published 2024
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  15. 55
    The variation process of various loss functions before and after model improvement.

    The variation process of various loss functions before and after model improvement. by Zhenwei Li (834360)

    Published 2024
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  16. 56
    A Python Package for the Localization of Protein Modifications in Mass Spectrometry Data

    A Python Package for the Localization of Protein Modifications in Mass Spectrometry Data by Anthony S. Barente (14035175)

    Published 2022
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  17. 57
    The control algorithm of MPC for SSI.

    The control algorithm of MPC for SSI. by Ahmed Abdelaleem (19066115)

    Published 2024
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  18. 58
    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. 59
    AP values of three methods on the three datasets, including four indicators: AP @50, AP @75, AP @M, and AP @L. Experiment one is the baseline model without adding other modules, experiment two is the baseline model with the LKA module added, and experiment three is the baseline model with the SimDLKA module added.

    AP values of three methods on the three datasets, including four indicators: AP @50, AP @75, AP @M, and AP @L. Experiment one is the baseline model without adding other modules, ex... by Xunqian Xu (21261899)

    Published 2025
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  20. 60
    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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