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. …”

Core components and their functions. by Jun Wang (5906)

Summary of the explained variance, proportion of variability explained be each wind component mode as well as the cumulative proportions. by Mohamed Elkhouly (14664933)

Component matrix table. by Ting Qin (1931218)

“…</p><p>Methods</p><p>Based on the data of China General Social Survey in 2021, a total of 4592 samples were selected. Principal component analysis model, hierarchical regression model and hierarchical linear model were used to verify the relationship between family background, socioeconomic status and children’s education level.…”

Multivariate Linear Regression Analysis of Factors Associated with Pain Scores (VAS) in Children Aged 7–12. by Myriam Aïche (22290591)

Representative examples of the effect of the first 10 Basel Face Model components on face appearance. by Kerri Walter (14185969)

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Linear relationships (Spearman’s r (p-value)) the treatment-induced changes in clinical and neurophysiological data. by Soheila Qanbari (20455173)

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Median p-values and significant differences for forecasting time steps. by Yaopeng Han (22622718)

Structural path coefficients and significance levels. by Weiyi Zhang (225434)

Intra- and inter-observer agreements determined using ICC test. by Nilüfer Ersan (16475129)

Analysis of the significance of the suppressor effect. by Dámaris Cuadrado (9362227)

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Scatter plots with fit line for the acculturation predictors that were significant or marginally significant in the foreigner sample. by Bernardo Guerra Machado (12360258)

Scatter plots with fit line for the acculturation predictors that were significant or marginally significant in the native sample. by Bernardo Guerra Machado (12360258)

Principal component coefficients of business performance indicators. by Yunpei Wang (18114836)

SRU component structure diagram. by Hanfei Xie (18208462)

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CRU component structure diagram. by Hanfei Xie (18208462)

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Cumulative total variance for components of imputation methods. by Ayman Omar Baniamer (21222249)

The components of the i-THRIVE programme. by Moore A. (11341197)

Predictor importance for predicting stock market using neural network and linear predictor. by Dania AL-Najjar (11840857)

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Linear regression models. by Vlada Alekseevna Repeykova (21253350)

“…The results suggest a non-linear trend, which was addressed accordingly. Adding a cultural component into the model explained substantial variance in DT and Gf scores. …”