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Showing 181 - 200 results of 4,163 for search '(( element method algorithm ) OR ((( data processing algorithm ) OR ( based teaching algorithm ))))', query time: 0.62s Refine Results
  1. 181
    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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  2. 182
    KF Process.

    KF Process. by Xiaoke Li (1427257)

    Published 2025
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  3. 183
    Adjusting the process.

    Adjusting the process. by Hui Yang (91136)

    Published 2024
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  4. 184
    Fitting flow of DAKM algorithm.

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

    Published 2025
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  5. 185
    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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  6. 186
    K-SVD dictionary learning process.

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

    Published 2025
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  7. 187
    Pareto optimal front result of MOCOA.

    Pareto optimal front result of MOCOA. by Hang Zhao (143592)

    Published 2025
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  8. 188
    Confusion matrix.

    Confusion matrix. by Hang Zhao (143592)

    Published 2025
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  9. 189
    Action potential of sample points in model 1.

    Action potential of sample points in model 1. by Hang Zhao (143592)

    Published 2025
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  10. 190
    Performance validation on the MIT-BIH database.

    Performance validation on the MIT-BIH database. by Hang Zhao (143592)

    Published 2025
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  11. 191
    Exponentially attenuated sinusoidal function.

    Exponentially attenuated sinusoidal function. by Hang Zhao (143592)

    Published 2025
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  12. 192
    Performance comparison with other papers.

    Performance comparison with other papers. by Hang Zhao (143592)

    Published 2025
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  13. 193
    Action potential of sample points in model 2.

    Action potential of sample points in model 2. by Hang Zhao (143592)

    Published 2025
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  14. 194
    Action potential of sample points in model 0.

    Action potential of sample points in model 0. by Hang Zhao (143592)

    Published 2025
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  15. 195
    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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  16. 196
    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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  17. 197
    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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  18. 198
    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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  19. 199
    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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  20. 200
    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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