يعرض 1,181 - 1,200 نتائج من 14,223 نتيجة بحث عن '(( significantly increased decrease ) OR ( significant ((inter decrease) OR (mean decrease)) ))', وقت الاستعلام: 0.52s تنقيح النتائج
  1. 1181

    Structural Diagrams of RF Model and ResNet Model. 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. …"
  2. 1182

    PCA-CGAN model convergence curve. 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. …"
  3. 1183

    PCA-CGAN Structure Diagram. 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. …"
  4. 1184

    Comparison of Model Five-classification Results. 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. …"
  5. 1185

    PCAECG-GAN K-fold experiment table. 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. …"
  6. 1186

    PCA-CGAN Pseudocode Table. 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. 1187

    PCA-CGAN Ablation Experiment Results. 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. …"
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  18. 1198

    Amplitude for A/L = 0.29. حسب Muhammad Hammad Bucha (21736111)

    منشور في 2025
    "…Moreover, the power also decreased by increasing the distance between the cylinder and eel both in the x- and y-direction. …"
  19. 1199

    Top view of the experimental setup. حسب Muhammad Hammad Bucha (21736111)

    منشور في 2025
    "…Moreover, the power also decreased by increasing the distance between the cylinder and eel both in the x- and y-direction. …"
  20. 1200

    Amplitude for A/L = 0.338. حسب Muhammad Hammad Bucha (21736111)

    منشور في 2025
    "…Moreover, the power also decreased by increasing the distance between the cylinder and eel both in the x- and y-direction. …"