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lower decrease » larger decrease (Expand Search), linear decrease (Expand Search), we decrease (Expand Search)
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a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
lower decrease » larger decrease (Expand Search), linear decrease (Expand Search), we decrease (Expand Search)
teer decrease » greater decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
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8881
Classification model parameter settings.
Published 2025“…This research addresses core challenges in ECG signal classification—extremely imbalanced data, significant individual physiological differences, and difficulties in long sequence fitting—by proposing a Principal Component Analysis-based Conditional Generative Adversarial Network (PCA-CGAN). …”
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8882
MIT-BIH expanded dataset proportion chart.
Published 2025“…This research addresses core challenges in ECG signal classification—extremely imbalanced data, significant individual physiological differences, and difficulties in long sequence fitting—by proposing a Principal Component Analysis-based Conditional Generative Adversarial Network (PCA-CGAN). …”
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8883
AUROC Graphs of RF Model and ResNet.
Published 2025“…This research addresses core challenges in ECG signal classification—extremely imbalanced data, significant individual physiological differences, and difficulties in long sequence fitting—by proposing a Principal Component Analysis-based Conditional Generative Adversarial Network (PCA-CGAN). …”
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8884
PCA-CGAN Model Workflow Diagram.
Published 2025“…This research addresses core challenges in ECG signal classification—extremely imbalanced data, significant individual physiological differences, and difficulties in long sequence fitting—by proposing a Principal Component Analysis-based Conditional Generative Adversarial Network (PCA-CGAN). …”
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8885
Structural Diagrams of RF Model and ResNet Model.
Published 2025“…This research addresses core challenges in ECG signal classification—extremely imbalanced data, significant individual physiological differences, and difficulties in long sequence fitting—by proposing a Principal Component Analysis-based Conditional Generative Adversarial Network (PCA-CGAN). …”
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8886
PCA-CGAN model convergence curve.
Published 2025“…This research addresses core challenges in ECG signal classification—extremely imbalanced data, significant individual physiological differences, and difficulties in long sequence fitting—by proposing a Principal Component Analysis-based Conditional Generative Adversarial Network (PCA-CGAN). …”
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8887
PCA-CGAN Structure Diagram.
Published 2025“…This research addresses core challenges in ECG signal classification—extremely imbalanced data, significant individual physiological differences, and difficulties in long sequence fitting—by proposing a Principal Component Analysis-based Conditional Generative Adversarial Network (PCA-CGAN). …”
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8888
Comparison of Model Five-classification Results.
Published 2025“…This research addresses core challenges in ECG signal classification—extremely imbalanced data, significant individual physiological differences, and difficulties in long sequence fitting—by proposing a Principal Component Analysis-based Conditional Generative Adversarial Network (PCA-CGAN). …”
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8889
PCAECG-GAN K-fold experiment table.
Published 2025“…This research addresses core challenges in ECG signal classification—extremely imbalanced data, significant individual physiological differences, and difficulties in long sequence fitting—by proposing a Principal Component Analysis-based Conditional Generative Adversarial Network (PCA-CGAN). …”
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8890
PCA-CGAN Pseudocode Table.
Published 2025“…This research addresses core challenges in ECG signal classification—extremely imbalanced data, significant individual physiological differences, and difficulties in long sequence fitting—by proposing a Principal Component Analysis-based Conditional Generative Adversarial Network (PCA-CGAN). …”
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8891
PCA-CGAN Ablation Experiment Results.
Published 2025“…This research addresses core challenges in ECG signal classification—extremely imbalanced data, significant individual physiological differences, and difficulties in long sequence fitting—by proposing a Principal Component Analysis-based Conditional Generative Adversarial Network (PCA-CGAN). …”
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8892
Modulation of renal inflammation and tubular injury by calcitriol in patients with early diabetic kidney disease: a randomized controlled trial
Published 2025“…Although UACR decreased more in the calcitriol group, the difference was not statistically significant (<i>p</i> = 0.099). …”
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8893
Image 1_Structural and acoustic properties of urbanized landscapes adversely affect bird communities in a tropical environment.tiff
Published 2024“…Anthropogenic noise had a significant negative relationship with bird abundance and species richness at all levels of physical structures.…”
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8894
Table 1_Structural and acoustic properties of urbanized landscapes adversely affect bird communities in a tropical environment.xlsx
Published 2024“…Anthropogenic noise had a significant negative relationship with bird abundance and species richness at all levels of physical structures.…”
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8895
Table 2_Structural and acoustic properties of urbanized landscapes adversely affect bird communities in a tropical environment.docx
Published 2024“…Anthropogenic noise had a significant negative relationship with bird abundance and species richness at all levels of physical structures.…”
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8896
Image 1_The effect of esketamine on postoperative delirium in patients undergoing general anesthesia: a systematic review and meta-analysis.jpg
Published 2025“…Esketamine administration was associated with a lower POD incidence (RR: 0.66; 95% CI: 0.49–0.91; P < 0.05). …”
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8897
Minimal data set.
Published 2025“…Results indicated that both the DFAT and DFAT + bFGF groups exhibited significantly reduced glottic gaps, increased collagen deposition, and decreased TUNEL-positive apoptotic cells compared to controls. …”
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8898
Table 5_Symptoms and sleep characteristics of tic disorder children with allergic diseases: a case–control study.docx
Published 2025“…Allergic diseases also have a significant impact on children's sleep. Regrettably, it remains unclear whether TD children with comorbid allergic diseases exhibit distinct symptoms and sleep characteristics.…”
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8899
Table 3_Symptoms and sleep characteristics of tic disorder children with allergic diseases: a case–control study.docx
Published 2025“…Allergic diseases also have a significant impact on children's sleep. Regrettably, it remains unclear whether TD children with comorbid allergic diseases exhibit distinct symptoms and sleep characteristics.…”
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8900
Table 1_Symptoms and sleep characteristics of tic disorder children with allergic diseases: a case–control study.docx
Published 2025“…Allergic diseases also have a significant impact on children's sleep. Regrettably, it remains unclear whether TD children with comorbid allergic diseases exhibit distinct symptoms and sleep characteristics.…”