Structural Diagrams of RF Model and ResNet Model. by Chao Tang (10925)

“…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. …”

PCA-CGAN model convergence curve. by Chao Tang (10925)

“…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. …”

PCA-CGAN Structure Diagram. by Chao Tang (10925)

“…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. …”

Comparison of Model Five-classification Results. by Chao Tang (10925)

“…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. …”

PCAECG-GAN K-fold experiment table. by Chao Tang (10925)

“…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. …”

PCA-CGAN Pseudocode Table. by Chao Tang (10925)

“…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. …”

PCA-CGAN Ablation Experiment Results. by Chao Tang (10925)

“…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. …”

Free diagram of forces exerted on the control mass . by Amirhossein Favakeh (21417884)

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Growth characteristics of <i>A. baumannii</i> strains used in this study. by Techit Thavorasak (13138440)

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(a) The diameter distribution of magnetic nanoparticles and (b) the magnetization curve of the ferrofluid. by Amirhossein Favakeh (21417884)

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Minimal inhibitory concentration of antibiotics used in this study. by Techit Thavorasak (13138440)

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Magnetic flux density in the x and z directions against the distance from the magnet. by Amirhossein Favakeh (21417884)

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CaSki cells functionally express VDR and RXR. by Euclides Avila (41023)

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Protein-protein interaction network of downregulated genes involved in the peptide biosynthetic process (GO:0043043) in the <i>Acinetobacter baumannii smpB</i> mutant. by Techit Thavorasak (13138440)

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Cytotoxicity (as of %Control) IC₅₀ value (mean ±SD in µM) of the tested compounds vs. Positive controls Cisplatin and doxorubicin against gastrointestinal and colorectal... by MohammedBashar Al-Qazzan (22439236)

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Percentage survival of <i>Acinetobacter baumannii</i> infected <i>Galleria mellonella.</i> by Techit Thavorasak (13138440)

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Biological processes activated and suppressed, along with associated genes, induced by calcitriol treatment in CaSki cervical cancer cells. by Euclides Avila (41023)

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Ferrofluid droplet generation on a functional wedged surface atθ = 20°, Q = 5 ml h^-‍1 and L = 10 mm. τ = t_breakup -t represents the remaining time until the d... by Amirhossein Favakeh (21417884)

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Socio-demographic characteristics of key informants (n = 21). by Beshir Bedru Nasir (8218863)

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Calcitriol inhibits CaSki cell migration and suppresses MMP7 and MMP13 gene expression. by Euclides Avila (41023)

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