Showing 9,561 - 9,580 results of 45,491 for search '(( 5 ((ng decrease) OR (mean decrease)) ) OR ( 50 ((we decrease) OR (a decrease)) ))', query time: 1.09s Refine Results
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  8. 9568

    Estimated mean high frequency sound pressure level with Posterior Probability (PP) of change at station 37M. by Agnieszka Monczak (6236771)

    Published 2020
    “…Stars indicate first positive (i.e. detected change in estimated mean SPL due to an increase not a decrease in SPL values) PP ⩾ 0.5. …”
  9. 9569

    Estimated mean broadband frequency sound pressure level with Posterior Probability (PP) of change at station 37M. by Agnieszka Monczak (6236771)

    Published 2020
    “…Stars indicate first positive (i.e. detected change in estimated mean SPL due to an increase not a decrease in SPL values) PP ⩾ 0.5. …”
  10. 9570

    Datasheet1_Survival, but not the severity of hypoxic–ischemic encephalopathy, is associated with higher mean arterial blood pressure after cardiac arrest: a retrospective cohort st... by Sandra Preuß (18512571)

    Published 2024
    “…Background<p>This study investigates the association between the mean arterial blood pressure (MAP), vasopressor requirement, and severity of hypoxic–ischemic encephalopathy (HIE) after cardiac arrest (CA).…”
  11. 9571
  12. 9572

    Sequence of <i>DpAP2</i> promoter. by Lingru Ruan (18995544)

    Published 2024
    “…<i>parva</i> cells treated with different concentrations of MeJA (10, 20, 50, 100 μM) and GA3 (10, 20, 50, 100 μM). The high concentrations of MeJA (10–100 μM) inhibited the accumulation of carotenoid, and the relative expression of <i>DpAP2</i>, <i>PSY</i>, <i>PDS</i> and <i>GGPS</i> decreased significantly. …”
  13. 9573

    Imbalanced Dataset Distribution. 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. …”
  14. 9574

    Data Preprocessing Steps for 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. …”
  15. 9575

    Flowchart of Proposed SMO_CNN. 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. …”
  16. 9576

    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. …”
  17. 9577

    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. …”
  18. 9578

    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. …”
  19. 9579

    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. …”
  20. 9580

    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. …”