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Showing 181 - 200 results of 5,153 for search '(((( develop robust algorithm ) OR ( element data algorithm ))) OR ( data processing algorithm ))', query time: 0.36s Refine Results
  1. 181
    Overview of the proposed process with data processing, model development, model evaluation and explainability.

    Overview of the proposed process with data processing, model development, model evaluation and explainability. by Md Amir Hamja (20495951)

    Published 2025
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  2. 182
    The parameter settings of the RF algorithm after parameter optimization.

    The parameter settings of the RF algorithm after parameter optimization. by Xini Fang (20861990)

    Published 2025
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  3. 183
    Performance Analysis of Super-resolution Algorithms.

    Performance Analysis of Super-resolution Algorithms. by Persiya J. (21743388)

    Published 2025
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  4. 184
    Processing time for the different pipeline steps.

    Processing time for the different pipeline steps. by Marc Weitz (8131560)

    Published 2025
    “…<p>Application of the TiB algorithm is very quick even if the resampling of the acceleration data is taken into account. …”
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  5. 185
    Overall scheme of multi-source heterogeneous data processing.

    Overall scheme of multi-source heterogeneous data processing. by Songsong Wang (8088293)

    Published 2025
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  6. 186
    KF Process.

    KF Process. by Xiaoke Li (1427257)

    Published 2025
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  7. 187
    Adjusting the process.

    Adjusting the process. by Hui Yang (91136)

    Published 2024
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  8. 188
    Novel S-Box rendered by the suggested algorithm.

    Novel S-Box rendered by the suggested algorithm. by Nayeem Ahmad Khan (11727377)

    Published 2025
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  9. 189
    Fitting flow of DAKM algorithm.

    Fitting flow of DAKM algorithm. by Xiaobing Chen (572034)

    Published 2025
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  10. 190
    Performance comparison of different adoption algorithms in XGBoost model.

    Performance comparison of different adoption algorithms in XGBoost model. by Wenguang Li (6528113)

    Published 2024
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  11. 191
    K-SVD dictionary learning process.

    K-SVD dictionary learning process. by Li Jiaqing (21212614)

    Published 2025
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  12. 192
    Comparison of tracing algorithms on FF image (region of interest). Image was applied to algorithms with three different filters: Original/no filtering, Gaussian and DnCnn. Data corresponds to images traced; GT is the manually delineated ground truth. For the evaluation of Tracing Algorithms, the GT fibres are represented in red, algorithm tracing is depicted in blue and areas where they overlap is white.

    Comparison of tracing algorithms on FF image (region of interest). Image was applied to algorithms with three different filters: Original/no filtering, Gaussian and DnCnn. Data cor... by Youssef Arafat (21009293)

    Published 2025
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  13. 193
    Comparison of tracing algorithms on DME image (full view) [42]. Image was applied to algorithms with three different filters: Original/no filtering, Gaussian and DnCnn. Data corresponds to images traced; GT is the manually delineated ground truth. For the evaluation of Tracing Algorithms, the GT fibres are represented in red, algorithm tracing is depicted in blue and areas where they overlap is white.

    Comparison of tracing algorithms on DME image (full view) [42]. Image was applied to algorithms with three different filters: Original/no filtering, Gaussian and DnCnn. Data corres... by Youssef Arafat (21009293)

    Published 2025
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  14. 194
    Comparison of tracing algorithms on SHG image (full view) [40]. Image was applied to algorithms with three different filters: Original/no filtering, Gaussian and DnCnn. Data corresponds to the tracing images; GT is the manually delineated ground truth. For the evaluation of Tracing Algorithms, the GT fibres are represented in red, algorithm tracing is depicted in blue and areas where they overlap is white.

    Comparison of tracing algorithms on SHG image (full view) [40]. Image was applied to algorithms with three different filters: Original/no filtering, Gaussian and DnCnn. Data corres... by Youssef Arafat (21009293)

    Published 2025
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  15. 195
    Comparison of tracing algorithms on FF image (full view). Image was applied to algorithms with three different filters: Original/no filtering, Gaussian and DnCnn. Data corresponds to the images traced; GT is the manually delineated ground truth. For the evaluation of Tracing Algorithms, the GT fibres are represented in red, algorithm tracing is depicted in blue and areas where they overlap is white.

    Comparison of tracing algorithms on FF image (full view). Image was applied to algorithms with three different filters: Original/no filtering, Gaussian and DnCnn. Data corresponds... by Youssef Arafat (21009293)

    Published 2025
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  16. 196
    Comparison of tracing algorithms on SHG image (region of interest) [40]. Image was applied to algorithms with three different filters: Original/no filtering, Gaussian and DnCnn. Data corresponds to the images traced; GT is the manually delineated ground truth. For the evaluation of Tracing Algorithms, the GT fibres are represented in red, algorithm tracing is depicted in blue and areas where they overlap is white.

    Comparison of tracing algorithms on SHG image (region of interest) [40]. Image was applied to algorithms with three different filters: Original/no filtering, Gaussian and DnCnn. Da... by Youssef Arafat (21009293)

    Published 2025
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  17. 197
    Comparison of tracing algorithms on DME image (region of interest) [42]. Image was applied to algorithms with three different filters: Original/no filtering, Gaussian and DnCnn. Data corresponds to images traced; GT is the manually delineated ground truth. For the evaluation of Tracing Algorithms, the GT fibres are represented in red, algorithm tracing is depicted in blue and areas where they overlap is white.

    Comparison of tracing algorithms on DME image (region of interest) [42]. Image was applied to algorithms with three different filters: Original/no filtering, Gaussian and DnCnn. Da... by Youssef Arafat (21009293)

    Published 2025
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  18. 198
    Comparison of segmentation accuracy of different segmentation algorithms.

    Comparison of segmentation accuracy of different segmentation algorithms. by Shinan Ding (20783580)

    Published 2025
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  19. 199
    Comparison of experimental data from three different algorithms.

    Comparison of experimental data from three different algorithms. by Xiaobing Chen (572034)

    Published 2025
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  20. 200
    The process of creating the cluster-tree structure in the proposed method.

    The process of creating the cluster-tree structure in the proposed method. by Shayesteh Tabatabaei (12280016)

    Published 2024
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