Search alternatives:
processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
learning algorithm » learning algorithms (Expand Search)
applied learning » applied during (Expand Search)
data processing » image processing (Expand Search)
data algorithm » data algorithms (Expand Search), update algorithm (Expand Search), atlas algorithm (Expand Search)
element data » settlement data (Expand Search), relevant data (Expand Search), movement data (Expand Search)
Showing 1 - 20 results of 5,435 for search '(((( data processing algorithm ) OR ( applied learning algorithm ))) OR ( element data algorithm ))', query time: 0.61s Refine Results
  1. 1
    The steps of applying RF algorithm.

    The steps of applying RF algorithm. by Zuzhen Ji (17593348)

    Published 2025
    Save to List
    Saved in:
  2. 2
    Filtered Labels after applying the data preparation algorithms.

    Filtered Labels after applying the data preparation algorithms. by Tanjim Taharat Aurpa (11250554)

    Published 2024
    Save to List
    Saved in:
  3. 3
    Dataset state after applying our data preparation algorithm.

    Dataset state after applying our data preparation algorithm. by Tanjim Taharat Aurpa (11250554)

    Published 2024
    Save to List
    Saved in:
  4. 4
    Prediction percentage distribution using different algorithms applied in our research.

    Prediction percentage distribution using different algorithms applied in our research. by Md Junayed Hossain (22615268)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  5. 5
    Processed results from ECG data with the P-T algorithm.

    Processed results from ECG data with the P-T algorithm. by Daehyun Kwon (11985629)

    Published 2025
    Save to List
    Saved in:
  6. 6
    Obtained heat map for regression-based algorithms.

    Obtained heat map for regression-based algorithms. by Akshansh Mishra (21001499)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  7. 7
    Credit Card Fraud Classification Using Applied Machine Learning – A Comparative Study of 24 ML Algorithms

    Credit Card Fraud Classification Using Applied Machine Learning – A Comparative Study of 24 ML Algorithms by Kelechi Amamba (21022064)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  8. 8
    Comparison of different optimization algorithms.

    Comparison of different optimization algorithms. by Hang Zhao (143592)

    Published 2025
    Subjects: “…crayfish optimization algorithm…”
    Save to List
    Saved in:
  9. 9
    Results obtained from the supervised machine learning regression-based algorithms in the present work.

    Results obtained from the supervised machine learning regression-based algorithms in the present work. by Akshansh Mishra (21001499)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  10. 10
    Feature importance plot obtained for regression-based algorithms.

    Feature importance plot obtained for regression-based algorithms. by Akshansh Mishra (21001499)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  11. 11
    Image processing steps applied in our research.

    Image processing steps applied in our research. by Md Junayed Hossain (22615268)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  12. 12
    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
    Save to List
    Saved in:
  13. 13
    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
    Save to List
    Saved in:
  14. 14
    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
    Save to List
    Saved in:
  15. 15
    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
    Save to List
    Saved in:
  16. 16
    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
    Save to List
    Saved in:
  17. 17
    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
    Save to List
    Saved in:
  18. 18
    Screening criteria applied for the study selection process.

    Screening criteria applied for the study selection process. by Yong Lin Lai (20854961)

    Published 2025
    Subjects: “…underlying degradation processes…”
    Save to List
    Saved in:
  19. 19
    The pseudocode of the RFE algorithm.

    The pseudocode of the RFE algorithm. by Zuzhen Ji (17593348)

    Published 2025
    Save to List
    Saved in:
  20. 20
    Results obtained from the supervised classification-based machine learning algorithms to predict deposition quality.

    Results obtained from the supervised classification-based machine learning algorithms to predict deposition quality. by Akshansh Mishra (21001499)

    Published 2025
    Subjects:
    Save to List
    Saved in:

Search Tools: