Showing 6,321 - 6,340 results of 30,730 for search '(( 2 step decrease ) OR ( 50 ((((we decrease) OR (mean decrease))) OR (a decrease)) ))', query time: 0.68s Refine Results
  1. 6321

    IDC Breast Cancer Dataset Descriptions. by Mudhafar Jalil Jassim Ghrabat (22177655)

    Published 2025
    “…Every model was subjected to individual testing. The SMO_CNN model we developed demonstrated exceptional testing and training accuracies of 98.95% and 99.20% respectively, surpassing CNN, VGG19, and ResNet50 models. …”
  2. 6322

    Accuracy Graph. by Mudhafar Jalil Jassim Ghrabat (22177655)

    Published 2025
    “…Every model was subjected to individual testing. The SMO_CNN model we developed demonstrated exceptional testing and training accuracies of 98.95% and 99.20% respectively, surpassing CNN, VGG19, and ResNet50 models. …”
  3. 6323

    Loss Graph. by Mudhafar Jalil Jassim Ghrabat (22177655)

    Published 2025
    “…Every model was subjected to individual testing. The SMO_CNN model we developed demonstrated exceptional testing and training accuracies of 98.95% and 99.20% respectively, surpassing CNN, VGG19, and ResNet50 models. …”
  4. 6324

    Hyperparameter Tuning of the Proposed Model. by Mudhafar Jalil Jassim Ghrabat (22177655)

    Published 2025
    “…Every model was subjected to individual testing. The SMO_CNN model we developed demonstrated exceptional testing and training accuracies of 98.95% and 99.20% respectively, surpassing CNN, VGG19, and ResNet50 models. …”
  5. 6325

    Comparison of Accuracy Metric. by Mudhafar Jalil Jassim Ghrabat (22177655)

    Published 2025
    “…Every model was subjected to individual testing. The SMO_CNN model we developed demonstrated exceptional testing and training accuracies of 98.95% and 99.20% respectively, surpassing CNN, VGG19, and ResNet50 models. …”
  6. 6326

    ROC Curve for the Best Model (AUC = 0.92). by Mudhafar Jalil Jassim Ghrabat (22177655)

    Published 2025
    “…Every model was subjected to individual testing. The SMO_CNN model we developed demonstrated exceptional testing and training accuracies of 98.95% and 99.20% respectively, surpassing CNN, VGG19, and ResNet50 models. …”
  7. 6327

    Sampling Images of IDC Dataset. by Mudhafar Jalil Jassim Ghrabat (22177655)

    Published 2025
    “…Every model was subjected to individual testing. The SMO_CNN model we developed demonstrated exceptional testing and training accuracies of 98.95% and 99.20% respectively, surpassing CNN, VGG19, and ResNet50 models. …”
  8. 6328

    CNN Model Layers Summary. by Mudhafar Jalil Jassim Ghrabat (22177655)

    Published 2025
    “…Every model was subjected to individual testing. The SMO_CNN model we developed demonstrated exceptional testing and training accuracies of 98.95% and 99.20% respectively, surpassing CNN, VGG19, and ResNet50 models. …”
  9. 6329

    Training Data/Validation/Test. by Mudhafar Jalil Jassim Ghrabat (22177655)

    Published 2025
    “…Every model was subjected to individual testing. The SMO_CNN model we developed demonstrated exceptional testing and training accuracies of 98.95% and 99.20% respectively, surpassing CNN, VGG19, and ResNet50 models. …”
  10. 6330

    CNN Model Architecture. by Mudhafar Jalil Jassim Ghrabat (22177655)

    Published 2025
    “…Every model was subjected to individual testing. The SMO_CNN model we developed demonstrated exceptional testing and training accuracies of 98.95% and 99.20% respectively, surpassing CNN, VGG19, and ResNet50 models. …”
  11. 6331

    Impressive accuracy data. by Mudhafar Jalil Jassim Ghrabat (22177655)

    Published 2025
    “…Every model was subjected to individual testing. The SMO_CNN model we developed demonstrated exceptional testing and training accuracies of 98.95% and 99.20% respectively, surpassing CNN, VGG19, and ResNet50 models. …”
  12. 6332

    Performance Results of Proposed SMO_CNN Model. by Mudhafar Jalil Jassim Ghrabat (22177655)

    Published 2025
    “…Every model was subjected to individual testing. The SMO_CNN model we developed demonstrated exceptional testing and training accuracies of 98.95% and 99.20% respectively, surpassing CNN, VGG19, and ResNet50 models. …”
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  14. 6334

    Glycochenodexycholic (GCDCA) causes lumen obstruction and subepithelial fibrosis of neonatal extrahepatic bile ducts (EHBDs), while ursodeoxycholic acid (UDCA) attenuates GCDCA tox... by Miri Dotan (12250909)

    Published 2022
    “…Immunofluorescent staining for the cholangiocyte marker K19 (green) and the myofibroblast marker α-SMA (red) demonstrated an ameliorating effect of UDCA, with increased lumen integrity and decreased fibrosis. Scale bar, 50 μm. (b) Quantification of the total α-SMA positive area in the bile ducts (control 1 ± 0.255 (n = 20), GCDCA 4.19 ± 0.87 (n = 21), GCDCA +UDCA 1.87 ± 0.48 (n = 15)). …”
  15. 6335

    Epidemic risk for the effective reproduction numbers (<i>R</i><sub><i>e</i></sub>) corresponding to reduced risk (1.1) and the minimum (1.4), median (2.8), and maximum (4.4) estima... by Emily M. Javan (15194865)

    Published 2023
    “…Epidemic risk is the percent of 100,000 simulations, for each <i>R</i><sub><i>e</i></sub>, that become epidemics. We classified a simulation as an epidemic if it reached 2,000 cumulative infections and had a minimum prevalence of 50 new infections per day. …”
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