يعرض 1 - 20 نتائج من 1,584 نتيجة بحث عن '(( significant ((portion decrease) OR (proportional decrease)) ) OR ( significant inter decrease ))', وقت الاستعلام: 0.51s تنقيح النتائج
  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6

    MIT dataset expansion quantities and Proportions. حسب Chao Tang (10925)

    منشور في 2025
    "…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. After data augmentation, the ResNet model’s average F1 score improved significantly, with particularly outstanding performance on rare categories such as atrial premature beats, far surpassing traditional methods like SigCWGAN and TD-GAN. …"
  7. 7

    Intra- and inter-day precision and accuracy. حسب Ewa Paszkowska (21246702)

    منشور في 2025
    "…<div><p>Purpose</p><p>Statins are the most commonly used drugs worldwide. Besides a significant decrease in cardiovascular diseases (CVDs) risk, the use of statins is also connected with a broad beneficial pleiotropic effect. …"
  8. 8

    MIT-BIH dataset proportion analysis chart. حسب Chao Tang (10925)

    منشور في 2025
    "…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. After data augmentation, the ResNet model’s average F1 score improved significantly, with particularly outstanding performance on rare categories such as atrial premature beats, far surpassing traditional methods like SigCWGAN and TD-GAN. …"
  9. 9

    MIT-BIH expanded dataset proportion chart. حسب Chao Tang (10925)

    منشور في 2025
    "…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. After data augmentation, the ResNet model’s average F1 score improved significantly, with particularly outstanding performance on rare categories such as atrial premature beats, far surpassing traditional methods like SigCWGAN and TD-GAN. …"
  10. 10
  11. 11
  12. 12
  13. 13
  14. 14
  15. 15
  16. 16
  17. 17
  18. 18
  19. 19
  20. 20