بدائل البحث:
significant proportional » significant proportion (توسيع البحث), significant portion (توسيع البحث), significant promoting (توسيع البحث)
linear decrease » linear increase (توسيع البحث)
inter decrease » water decreases (توسيع البحث), teer decrease (توسيع البحث), step decrease (توسيع البحث)
significant proportional » significant proportion (توسيع البحث), significant portion (توسيع البحث), significant promoting (توسيع البحث)
linear decrease » linear increase (توسيع البحث)
inter decrease » water decreases (توسيع البحث), teer decrease (توسيع البحث), step decrease (توسيع البحث)
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Intra- and inter-day precision and accuracy.
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. …"
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MIT dataset expansion quantities and Proportions.
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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MIT-BIH dataset proportion analysis chart.
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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MIT-BIH expanded dataset proportion chart.
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. …"