Search alternatives:
utilization algorithm » optimization algorithm (Expand Search), initialization algorithm (Expand Search), optimization algorithms (Expand Search)
research utilization » resource utilization (Expand Search), research publication (Expand Search), research participation (Expand Search)
cell research » field research (Expand Search)
binary cell » primary cell (Expand Search)
Showing 1 - 20 results of 22 for search 'binary cell research utilization algorithm*', query time: 0.39s Refine Results
  1. 1
    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
    Subjects:
    Save to List
    Saved in:
  2. 2
    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
    Subjects:
    Save to List
    Saved in:
  3. 3
    (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
    Subjects:
    Save to List
    Saved in:
  4. 4
    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
    Subjects:
    Save to List
    Saved in:
  5. 5
    The workflow diagram for the gene expression biomarker study which involve using principal component analysis (PCA) to reduce the number of features (principal components), thus requiring fewer qubits.

    The workflow diagram for the gene expression biomarker study which involve using principal component analysis (PCA) to reduce the number of features (principal components), thus re... by Aninda Astuti (21736334)

    Published 2025
    Save to List
    Saved in:
  6. 6
    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
    Subjects:
    Save to List
    Saved in:
  7. 7
    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
    Subjects:
    Save to List
    Saved in:
  8. 8
    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
    Subjects:
    Save to List
    Saved in:
  9. 9
    Result comparison with other existing models.

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

    Published 2025
    Subjects:
    Save to List
    Saved in:
  10. 10
    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
    Subjects:
    Save to List
    Saved in:
  11. 11
    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
    Subjects:
    Save to List
    Saved in:
  12. 12
    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
    Subjects:
    Save to List
    Saved in:
  13. 13
    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
    Subjects:
    Save to List
    Saved in:
  14. 14
    Parameter attributes of the CNN feature extractor model.

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

    Published 2025
    Subjects:
    Save to List
    Saved in:
  15. 15
    Evaluation of performance across various settings.

    Evaluation of performance across various settings. by Md. Sabbir Hossain (9958939)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  16. 16
    Dataset distribution.

    Dataset distribution. by Md. Sabbir Hossain (9958939)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  17. 17
    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
    Subjects:
    Save to List
    Saved in:
  18. 18
    Visualization of color maps using Grad-CAM for different lung cancer classes.

    Visualization of color maps using Grad-CAM for different lung cancer classes. by Md. Sabbir Hossain (9958939)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  19. 19
    (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
    Subjects:
    Save to List
    Saved in:
  20. 20
    CNN structure for feature extraction.

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

    Published 2025
    Subjects:
    Save to List
    Saved in:

Search Tools: