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Showing 1 - 20 results of 164 for search '(( binary image processes identification algorithm ) OR ( binary _ policy optimization algorithm ))', query time: 0.60s Refine Results
  1. 1
    MSE for ILSTM algorithm in binary classification.

    MSE for ILSTM algorithm in binary classification. by Asmaa Ahmed Awad (16726315)

    Published 2023
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  2. 2
    Binary encoding scheme.

    Binary encoding scheme. by Binh Thanh Dang (12368831)

    Published 2022
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  3. 3
    An example of 2-dimensional non-linearly separable and non-separable data for binary classification.

    An example of 2-dimensional non-linearly separable and non-separable data for binary classification. by Yuji Oyamada (11714754)

    Published 2021
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  4. 4
    DE algorithm flow.

    DE algorithm flow. by Ling Zhao (111365)

    Published 2025
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  5. 5
    Examples of random events and the respective binary outcome.

    Examples of random events and the respective binary outcome. by Matheus Sant’Ana Lima (9937809)

    Published 2021
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  6. 6
    Test results of different algorithms.

    Test results of different algorithms. by Ling Zhao (111365)

    Published 2025
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  7. 7
    Illustration of the four steps in constructing the point feature binary mask.

    Illustration of the four steps in constructing the point feature binary mask. by Luka Maisuradze (8791229)

    Published 2024
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  8. 8
    Comparison between ILSTM and machine learning-based algorithms in binary classification.

    Comparison between ILSTM and machine learning-based algorithms in binary classification. by Asmaa Ahmed Awad (16726315)

    Published 2023
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  9. 9
    Comparison between ILSTM and deep learning-based algorithms in binary classification.

    Comparison between ILSTM and deep learning-based algorithms in binary classification. by Asmaa Ahmed Awad (16726315)

    Published 2023
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  10. 10
    Functional fitness test results of different algorithms.

    Functional fitness test results of different algorithms. by Ling Zhao (111365)

    Published 2025
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  11. 11
    The result of the accuracy of tested algorithms.

    The result of the accuracy of tested algorithms. by Nebojsa Bacanin (13932723)

    Published 2022
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  12. 12
    CSTP-MAC algorithm backoff time-slots vs IEEE 802.15.4 binary backoff exponential algorithm backoff time-slots.

    CSTP-MAC algorithm backoff time-slots vs IEEE 802.15.4 binary backoff exponential algorithm backoff time-slots. by Innocent Uzougbo Onwuegbuzie (9243166)

    Published 2020
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  13. 13
    The confidence curve of a binary image.

    The confidence curve of a binary image. by Dingming Yang (8505990)

    Published 2022
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  14. 14
    Binary contingency table.

    Binary contingency table. by Lu Xiao (314030)

    Published 2024
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  15. 15
    Feature selection ratio results for tested algorithms.

    Feature selection ratio results for tested algorithms. by Nebojsa Bacanin (13932723)

    Published 2022
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  16. 16
    Best fitness value results for tested algorithms.

    Best fitness value results for tested algorithms. by Nebojsa Bacanin (13932723)

    Published 2022
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  17. 17
    Mean fitness value results for tested algorithms.

    Mean fitness value results for tested algorithms. by Nebojsa Bacanin (13932723)

    Published 2022
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  18. 18
    The confidence change of the binary image after iteration.

    The confidence change of the binary image after iteration. by Dingming Yang (8505990)

    Published 2022
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  19. 19
    Standard deviation of fitness value results for tested algorithms.

    Standard deviation of fitness value results for tested algorithms. by Nebojsa Bacanin (13932723)

    Published 2022
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  20. 20
    Table_1_Fusion of fruit image processing and deep learning: a study on identification of citrus ripeness based on R-LBP algorithm and YOLO-CIT model.docx

    Table_1_Fusion of fruit image processing and deep learning: a study on identification of citrus ripeness based on R-LBP algorithm and YOLO-CIT model.docx by Chenglin Wang (430151)

    Published 2024
    “…The fruit segment of citrus in the original citrus images processed by the R-LBP algorithm is combined with the background segment of the citrus images after grayscale processing to construct synthetic images, which are subsequently added to the training dataset. …”
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