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Showing 1 - 20 results of 34 for search 'binary main features ((optimization algorithm) OR (classification algorithm))', query time: 0.53s Refine Results
  1. 1
    The classification algorithm flow chart for binary classification among NC, EMCI, LMCI and AD groups.

    The classification algorithm flow chart for binary classification among NC, EMCI, LMCI and AD groups. by Qian Zhang (49333)

    Published 2022
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  2. 2
    Performance of the proposed method for binary classification of lung cancer.

    Performance of the proposed method for binary classification of lung cancer. by Md. Sabbir Hossain (9958939)

    Published 2025
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  3. 3
    Graphical comparison of binary class lung cancer classification with different approaches.

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

    Published 2025
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  4. 4
    Flowchart depicting the structure of the BDMO algorithm.

    Flowchart depicting the structure of the BDMO algorithm. by Olatunji A. Akinola (13919696)

    Published 2022
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  5. 5
    (a) Accuracy and (b) loss curves of training and validation during binary class classification for 512 features extracted by the CNN.

    (a) Accuracy and (b) loss curves of training and validation during binary class classification for 512 features extracted by the CNN. by Md. Sabbir Hossain (9958939)

    Published 2025
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  6. 6
    For each classification algorithm, the classification accuracies for binary subject groups NC versus EMCI, NC versus LEMC, EMCI versus LEMC, EMCI versus AD, LMCI versus AD, AD versus NC.

    For each classification algorithm, the classification accuracies for binary subject groups NC versus EMCI, NC versus LEMC, EMCI versus LEMC, EMCI versus AD, LMCI versus AD, AD vers... by Qian Zhang (49333)

    Published 2022
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  7. 7
    ROC curves of the proposed method for binary class classification: (A) GNB, (B) GBM, (C) KNN, (D) SVM, (E) RF, and (F) Ensemble learning.

    ROC curves of the proposed method for binary class classification: (A) GNB, (B) GBM, (C) KNN, (D) SVM, (E) RF, and (F) Ensemble learning. by Md. Sabbir Hossain (9958939)

    Published 2025
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  8. 8
    CNN structure for feature extraction.

    CNN structure for feature extraction. by Md. Sabbir Hossain (9958939)

    Published 2025
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  9. 9
    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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  10. 10
    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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  11. 11
    Parameter attributes of the CNN feature extractor model.

    Parameter attributes of the CNN feature extractor model. by Md. Sabbir Hossain (9958939)

    Published 2025
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  12. 12
    (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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  13. 13
    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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  14. 14
    Overview of the proposed simple CNN for extracting features from CT scan images.

    Overview of the proposed simple CNN for extracting features from CT scan images. by Md. Sabbir Hossain (9958939)

    Published 2025
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  15. 15
    ROC curves of the proposed method for multiclass classification: (A) GNB, (B) GBM, (C) KNN, (D) SVM, (E) RF, and (F) Ensemble learning.

    ROC curves of the proposed method for multiclass classification: (A) GNB, (B) GBM, (C) KNN, (D) SVM, (E) RF, and (F) Ensemble learning. by Md. Sabbir Hossain (9958939)

    Published 2025
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  16. 16
    Normalized confusion matrix of the proposed method for multiclass classification: (A) GNB, (B) GBM, (C) KNN, (D) SVM, (E) RF, and (F) Ensemble learning.

    Normalized confusion matrix of the proposed method for multiclass classification: (A) GNB, (B) GBM, (C) KNN, (D) SVM, (E) RF, and (F) Ensemble learning. by Md. Sabbir Hossain (9958939)

    Published 2025
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  17. 17
    Normalized confusion matrix of the proposed method for multiclass classification: (A) GNB, (B) GBM, (C) KNN, (D) SVM, (E) RF, (F) Ensemble LEARNING.

    Normalized confusion matrix of the proposed method for multiclass classification: (A) GNB, (B) GBM, (C) KNN, (D) SVM, (E) RF, (F) Ensemble LEARNING. by Md. Sabbir Hossain (9958939)

    Published 2025
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  18. 18
    Performance comparison between the proposed method and various TL models with SVM.

    Performance comparison between the proposed method and various TL models with SVM. by Md. Sabbir Hossain (9958939)

    Published 2025
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  19. 19
    Lung cancer CT images before and after pre-processing.

    Lung cancer CT images before and after pre-processing. by Md. Sabbir Hossain (9958939)

    Published 2025
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  20. 20
    Result comparison with other existing models.

    Result comparison with other existing models. by Md. Sabbir Hossain (9958939)

    Published 2025
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