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Showing 81 - 100 results of 10,126 for search '(( element method algorithm ) OR ((( pre processing algorithm ) OR ( data using algorithm ))))', query time: 0.50s Refine Results
  1. 81
    The mAP for all algorithms and 80% of the data used for training.

    The mAP for all algorithms and 80% of the data used for training. by Mohammad Amin Fraiwan (20469541)

    Published 2024
    “…<p>The mAP for all algorithms and 80% of the data used for training.</p>…”
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  2. 82
    The mAP for all algorithms and 50% of the data used for training.

    The mAP for all algorithms and 50% of the data used for training. by Mohammad Amin Fraiwan (20469541)

    Published 2024
    “…<p>The mAP for all algorithms and 50% of the data used for training.</p>…”
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  3. 83
    The mAP for all algorithms and 60% of the data used for training.

    The mAP for all algorithms and 60% of the data used for training. by Mohammad Amin Fraiwan (20469541)

    Published 2024
    “…<p>The mAP for all algorithms and 60% of the data used for training.</p>…”
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  4. 84
    Point cloud data registration using the original ICP algorithm.

    Point cloud data registration using the original ICP algorithm. by Mengyuan Yan (14200322)

    Published 2025
    “…<p>Point cloud data registration using the original ICP algorithm.…”
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  5. 85
    Summary of key parameters used in the CSCAP algorithm.

    Summary of key parameters used in the CSCAP algorithm. by Manxing Shi (22367181)

    Published 2025
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  6. 86
    Features selection using the Boruta algorithm.

    Features selection using the Boruta algorithm. by Nishat Tasnim Thity (21755858)

    Published 2025
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  7. 87
    Parameters of the machine learning algorithms used in the study.

    Parameters of the machine learning algorithms used in the study. by Xiaoyan Yang (259084)

    Published 2025
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  8. 88
    Comparison of tracing algorithms on Picrosirius red Breast Cancer Biopsy image (region of interest) [38]. 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 Picrosirius red Breast Cancer Biopsy image (region of interest) [38]. Image was applied to algorithms with three different filters: Original/no... by Youssef Arafat (21009293)

    Published 2025
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  9. 89
    Comparison of tracing algorithms on Picrosirius red Breast Cancer Biopsy image (full view) [38]. 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 Picrosirius red Breast Cancer Biopsy image (full view) [38]. Image was applied to algorithms with three different filters: Original/no filtering... by Youssef Arafat (21009293)

    Published 2025
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  10. 90
    Data generation algorithm.

    Data generation algorithm. by Aluwani Ramalata (21262977)

    Published 2025
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  11. 91
    PyNoetic’s pre-processing module, which supports filtering and artifact removal, including ICA.

    PyNoetic’s pre-processing module, which supports filtering and artifact removal, including ICA. by Gursimran Singh (575288)

    Published 2025
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  12. 92
    Performance of machine learning algorithms.

    Performance of machine learning algorithms. by Wenxue Liu (6877754)

    Published 2025
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  13. 93
    Algorithm for optimizing the model using transformer.

    Algorithm for optimizing the model using transformer. by Weiling Liu (1465480)

    Published 2025
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  14. 94
    Description of the dataset with attributes.

    Description of the dataset with attributes. by Ankur Kumar (1357440)

    Published 2025
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  15. 95
    AUROC curve of proposed hybrid GA-ML models.

    AUROC curve of proposed hybrid GA-ML models. by Ankur Kumar (1357440)

    Published 2025
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  16. 96
    Selected features by GA approach.

    Selected features by GA approach. by Ankur Kumar (1357440)

    Published 2025
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  17. 97
    Performance metrics of GA-ML models.

    Performance metrics of GA-ML models. by Ankur Kumar (1357440)

    Published 2025
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  18. 98
    Correlation between features and target.

    Correlation between features and target. by Ankur Kumar (1357440)

    Published 2025
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  19. 99
    Workflow chart of the proposed study.

    Workflow chart of the proposed study. by Ankur Kumar (1357440)

    Published 2025
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  20. 100
    AUROC curve of default ML classifiers.

    AUROC curve of default ML classifiers. by Ankur Kumar (1357440)

    Published 2025
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