بدائل البحث:
significant shifts » significant insights (توسيع البحث), significant benefits (توسيع البحث)
shifts decrease » sizes decrease (توسيع البحث)
small decrease » small increased (توسيع البحث)
fold decrease » fold increase (توسيع البحث), fold increased (توسيع البحث), fold increases (توسيع البحث)
significant shifts » significant insights (توسيع البحث), significant benefits (توسيع البحث)
shifts decrease » sizes decrease (توسيع البحث)
small decrease » small increased (توسيع البحث)
fold decrease » fold increase (توسيع البحث), fold increased (توسيع البحث), fold increases (توسيع البحث)
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Data Sheet 1_Elevated relative humidity significantly decreases cannabinoid concentrations while delaying flowering development in Cannabis sativa L..docx
منشور في 2025"…Furthermore, high RH significantly suppressed cannabinoid accumulation: cannabidiolic acid (CBD-A), cannabidiol (CBD), and cannabichromenic acid (CBC-A) levels decreased by approximately 4.9-fold, 3.2-fold, and 13-fold, respectively. …"
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PCA-CGAN K-fold experiment table.
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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PCAECG-GAN K-fold experiment table.
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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