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Showing 21 - 40 results of 188 for search '(( binary image binary classification algorithm ) OR ( binary b based optimization algorithm ))', query time: 0.64s Refine Results
  1. 21
    Performance of the baseline SVM and Mask R-CNN detection algorithms based on the original, manually-derived annotated bounding boxes.

    Performance of the baseline SVM and Mask R-CNN detection algorithms based on the original, manually-derived annotated bounding boxes. by Tsung-Wei Ke (18297551)

    Published 2024
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  2. 22
    Effect of image resolution on the performance of the Mask R-CNN algorithm in detecting individual bird instances as applied to the validation imagery set.

    Effect of image resolution on the performance of the Mask R-CNN algorithm in detecting individual bird instances as applied to the validation imagery set. by Tsung-Wei Ke (18297551)

    Published 2024
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  3. 23
    Performance of the Mask R-CNN detection algorithm based on the original, manually-derived, annotation bounding boxes, and the refined annotation bounding boxes.

    Performance of the Mask R-CNN detection algorithm based on the original, manually-derived, annotation bounding boxes, and the refined annotation bounding boxes. by Tsung-Wei Ke (18297551)

    Published 2024
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  4. 24
    Classification standard of highway tunnels.

    Classification standard of highway tunnels. by Chunquan Dai (16819414)

    Published 2023
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  5. 25
    Explicability results of the crowding classification model.

    Explicability results of the crowding classification model. by Kengo Oka (1420585)

    Published 2025
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  6. 26
    Explicability results of the deep bite classification model.

    Explicability results of the deep bite classification model. by Kengo Oka (1420585)

    Published 2025
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  7. 27
    Explicability results of the maxillary protrusion classification model.

    Explicability results of the maxillary protrusion classification model. by Kengo Oka (1420585)

    Published 2025
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  8. 28
    Classification thresholds for assessment of technical status of civil structures.

    Classification thresholds for assessment of technical status of civil structures. by Chunquan Dai (16819414)

    Published 2023
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  9. 29
    Bayesian Spatial Binary Regression for Label Fusion in Structural Neuroimaging

    Bayesian Spatial Binary Regression for Label Fusion in Structural Neuroimaging by D. Andrew Brown (6584837)

    Published 2021
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  10. 30
    Optimization of tracking parameters based on <i>P</i><sub><i>swap</i></sub>.

    Optimization of tracking parameters based on <i>P</i><sub><i>swap</i></sub>. by Benjamin Gallois (10131683)

    Published 2021
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  11. 31
    Binary leaf image rotated anti-clock wise from the origin degree to 40<sup><i>o</i></sup>, 80<sup><i>o</i></sup>, 120<sup><i>o</i></sup>, and 160<sup><i>o</i></sup> from left to right respectively to verify rotation invariance with their corresponding curve-fitted data.

    Binary leaf image rotated anti-clock wise from the origin degree to 40<sup><i>o</i></sup>, 80<sup><i>o</i></sup>, 120<sup><i>o</i></sup>, and 160<sup><i>o</i></sup> from left to ri... by Ali Ahmed (2567584)

    Published 2020
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  12. 32
    Representative photographic image.

    Representative photographic image. by Kengo Oka (1420585)

    Published 2025
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  13. 33
    Image4_Automatic recognition of complementary strands: lessons regarding machine learning abilities in RNA folding.png

    Image4_Automatic recognition of complementary strands: lessons regarding machine learning abilities in RNA folding.png by Simon Chasles (16927875)

    Published 2023
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  14. 34
    Image1_Automatic recognition of complementary strands: lessons regarding machine learning abilities in RNA folding.png

    Image1_Automatic recognition of complementary strands: lessons regarding machine learning abilities in RNA folding.png by Simon Chasles (16927875)

    Published 2023
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  15. 35
    Image2_Automatic recognition of complementary strands: lessons regarding machine learning abilities in RNA folding.png

    Image2_Automatic recognition of complementary strands: lessons regarding machine learning abilities in RNA folding.png by Simon Chasles (16927875)

    Published 2023
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  16. 36
    Image3_Automatic recognition of complementary strands: lessons regarding machine learning abilities in RNA folding.png

    Image3_Automatic recognition of complementary strands: lessons regarding machine learning abilities in RNA folding.png by Simon Chasles (16927875)

    Published 2023
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  17. 37
    Performance of the individual and proposed methods for multiclass classification of lung cancer.

    Performance of the individual and proposed methods for multiclass classification of lung cancer. by Md. Sabbir Hossain (9958939)

    Published 2025
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  18. 38
    Graphical comparison of multiclass lung cancer classification with different approaches.

    Graphical comparison of multiclass lung cancer classification with different approaches. by Md. Sabbir Hossain (9958939)

    Published 2025
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  19. 39
    (A) Accuracy and (B) loss of training and validation sets of multiclass classification using CNN.

    (A) Accuracy and (B) loss of training and validation sets of multiclass classification using CNN. by Md. Sabbir Hossain (9958939)

    Published 2025
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  20. 40
    Structure of the proposed hybrid CNN-SVD-based ensemble model for lung cancer classification.

    Structure of the proposed hybrid CNN-SVD-based ensemble model for lung cancer classification. by Md. Sabbir Hossain (9958939)

    Published 2025
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