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Showing 41 - 60 results of 13,198 for search '(((( algorithm loss function ) OR ( algorithm i function ))) OR ( algorithm python function ))*', query time: 0.59s Refine Results
  1. 41
    Data set of nameplate exposure of electrical equipment.

    Data set of nameplate exposure of electrical equipment. by Hao Wu (65943)

    Published 2024
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  2. 42
    Test results of different training methods.

    Test results of different training methods. by Hao Wu (65943)

    Published 2024
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  3. 43
    Schematic diagram of subpixel convolution.

    Schematic diagram of subpixel convolution. by Hao Wu (65943)

    Published 2024
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  4. 44
    Training results of data sets with different sizes.

    Training results of data sets with different sizes. by Hao Wu (65943)

    Published 2024
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  5. 45
    PS-UNet++ model structure.

    PS-UNet++ model structure. by Hao Wu (65943)

    Published 2024
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  6. 46
    Comparison of training results of data sets with different sizes.

    Comparison of training results of data sets with different sizes. by Hao Wu (65943)

    Published 2024
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  7. 47
    Network structure diagram of UNet++.

    Network structure diagram of UNet++. by Hao Wu (65943)

    Published 2024
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  8. 48
    Ablation test results of the data set of electrical equipment nameplate exposure.

    Ablation test results of the data set of electrical equipment nameplate exposure. by Hao Wu (65943)

    Published 2024
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  9. 49
    Sub-pixel convolution upsampling module.

    Sub-pixel convolution upsampling module. by Hao Wu (65943)

    Published 2024
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  10. 50
    Comparison of softsign function and tanh function.

    Comparison of softsign function and tanh function. by Peihan Wen (6324315)

    Published 2022
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  11. 51
    GD and soft loss function (Loss<sub>S</sub>) parameters are optimized through the hyperparameter tuning process within their search spaces.

    GD and soft loss function (Loss<sub>S</sub>) parameters are optimized through the hyperparameter tuning process within their search spaces. by Burcu Ozek (16949357)

    Published 2024
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  12. 52
    An expectation-maximization algorithm for finding noninvadable stationary states.

    An expectation-maximization algorithm for finding noninvadable stationary states. by Robert Marsland (8616483)

    Published 2020
    “…<i>(b)</i> Metabolic byproducts move the relevant unperturbed state from <b>R</b><sup>0</sup> (gray ‘x’) to (black ‘x’), which is itself a function of the current environmental conditions. …”
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  13. 53
    Performance comparison results of different algorithms.

    Performance comparison results of different algorithms. by Wenyuan Xu (2553028)

    Published 2025
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  14. 54
    Subjective image quality scores (<i>mean</i>±<i>std</i>) for different algorithms from a blind reader study.

    Subjective image quality scores (<i>mean</i>±<i>std</i>) for different algorithms from a blind reader study. by Wonjin Kim (8129577)

    Published 2022
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  15. 55
    Recombinant mapping narrows region of interest to identify a loss-of-function allele of <i>mttp.</i>

    Recombinant mapping narrows region of interest to identify a loss-of-function allele of <i>mttp.</i> by McKenna Feltes (11242085)

    Published 2025
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  16. 56
    The confusion matrix of the different algorithms.

    The confusion matrix of the different algorithms. by Qiushi Wang (417314)

    Published 2024
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  17. 57
    Python scripts used to model CPU errors by Poisson distribution density mass function and to draw graph of Poisson events (needs Matplot, SciPy, PysimpleGUI and NumPy)

    Python scripts used to model CPU errors by Poisson distribution density mass function and to draw graph of Poisson events (needs Matplot, SciPy, PysimpleGUI and NumPy) by Santhosh Kumar Rajamani (13023678)

    Published 2022
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  18. 58
    Network structure of perception fusion algorithm.

    Network structure of perception fusion algorithm. by Weilin Wu (13736)

    Published 2024
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  19. 59
    The resultant accuracy curves while using the hinge loss function for the best model.

    The resultant accuracy curves while using the hinge loss function for the best model. by Abdullah Almansour (6273935)

    Published 2022
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  20. 60
    Training accuracy/loss as a function of epochs for different datasets.

    Training accuracy/loss as a function of epochs for different datasets. by Hiam Alquran (17636906)

    Published 2025
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