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Showing 1 - 20 results of 5,331 for search '(( relevant data algorithm ) OR ((( image processing algorithm ) OR ( sample using algorithm ))))', query time: 0.48s Refine Results
  1. 1
    The process chain of the de-jitter algorithm.

    The process chain of the de-jitter algorithm. by Hannes Benecke (17409369)

    Published 2025
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  2. 2
    The setup for the sample tracking algorithm.

    The setup for the sample tracking algorithm. by Hannes Benecke (17409369)

    Published 2025
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  3. 3
    The segmentation process of this new algorithm.

    The segmentation process of this new algorithm. by Niu Meng (22032810)

    Published 2025
    “…<div><p>With the development of computer vision and image processing technology, color segmentation of printed fabrics has gradually become a key task in the textile industry. …”
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  4. 4
    The execution process of DPC algorithm.

    The execution process of DPC algorithm. by Niu Meng (22032810)

    Published 2025
    “…<div><p>With the development of computer vision and image processing technology, color segmentation of printed fabrics has gradually become a key task in the textile industry. …”
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  5. 5
    Statistics of GI data processing using different algorithms at various input CTTDs.

    Statistics of GI data processing using different algorithms at various input CTTDs. by Ki Hyun Nam (5813819)

    Published 2025
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  6. 6
    Statistics of HEWL data processing using different algorithms at various input CTTDs.

    Statistics of HEWL data processing using different algorithms at various input CTTDs. by Ki Hyun Nam (5813819)

    Published 2025
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  7. 7
    A sinogram of the test sample before and after the dejitter algorithm.

    A sinogram of the test sample before and after the dejitter algorithm. by Hannes Benecke (17409369)

    Published 2025
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  8. 8
    The manual sample alignment process.

    The manual sample alignment process. by Hannes Benecke (17409369)

    Published 2025
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  9. 9
    The process chain of the sample movement calculation.

    The process chain of the sample movement calculation. by Hannes Benecke (17409369)

    Published 2025
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  10. 10
    Supplemental S2 showing the result of the sample and focus tracking algorithm of the acquired image stack.

    Supplemental S2 showing the result of the sample and focus tracking algorithm of the acquired image stack. by Hannes Benecke (17409369)

    Published 2025
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  11. 11
    Performance of different machine learning algorithms.

    Performance of different machine learning algorithms. by Apichat Suratanee (634281)

    Published 2024
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  12. 12
    Comparison of Execution Times of Different Algorithms.

    Comparison of Execution Times of Different Algorithms. by Niu Meng (22032810)

    Published 2025
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  13. 13
    Excerpts from the raw acquired data set with the tracking algorithm.

    Excerpts from the raw acquired data set with the tracking algorithm. by Hannes Benecke (17409369)

    Published 2025
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  14. 14
    The results of hyperspectral image neighborhood visualization by new algorithm.

    The results of hyperspectral image neighborhood visualization by new algorithm. by Niu Meng (22032810)

    Published 2025
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  15. 15
    Illustration of the proposed sampling protocol.

    Illustration of the proposed sampling protocol. by Matheus Viana da Silva (21433572)

    Published 2025
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  16. 16
    Segmentation performance for all images of the datasets used in the experiments.

    Segmentation performance for all images of the datasets used in the experiments. by Matheus Viana da Silva (21433572)

    Published 2025
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  17. 17
    Average color values and standard deviation of different algorithms.

    Average color values and standard deviation of different algorithms. by Niu Meng (22032810)

    Published 2025
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  18. 18
    Illustration of the Noisy Student algorithm proposed by [30].

    Illustration of the Noisy Student algorithm proposed by [30]. by Martin Wutke (19786999)

    Published 2024
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  19. 19
    CNN architecture used to evaluate the training performance of different VessMAP splits.

    CNN architecture used to evaluate the training performance of different VessMAP splits. by Matheus Viana da Silva (21433572)

    Published 2025
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  20. 20
    Training and validation loss curves for eight different splits that were generated using the VessMAP metadata.

    Training and validation loss curves for eight different splits that were generated using the VessMAP metadata. by Matheus Viana da Silva (21433572)

    Published 2025
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