Effects of MC treatment on symptoms and histological changes in DNBS-induced colitis rats. حسب Jin-Hwa Kim (101817)

KO of iPLA₂γ attenuates development of albuminuria in STZ-induced diabetic nephropathy. حسب Andrey V. Cybulsky (4007012)

The performance of eigenvectors of the covariance matrix in a model with more complex population structure. حسب Joshua G. Schraiber (8027060)

Impact of including phylogenetic eigenvectors on detection of coevolution of gene-expression levels in fungi. حسب Joshua G. Schraiber (8027060)

Performance of different methods for controlling confounding in Felsenstein’s worst case. حسب Joshua G. Schraiber (8027060)

Complexity comparison of different models. حسب Li Yuan (102305)

"…Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. The model uses fixed K-mean algorithm for feature classification and optimizes median filtering algorithm using dynamic thresholding. …"

Dynamic window based median filtering algorithm. حسب Li Yuan (102305)

"…Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. The model uses fixed K-mean algorithm for feature classification and optimizes median filtering algorithm using dynamic thresholding. …"

Flow of operation of improved KMA. حسب Li Yuan (102305)

"…Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. The model uses fixed K-mean algorithm for feature classification and optimizes median filtering algorithm using dynamic thresholding. …"

Improved DAE based on LSTM. حسب Li Yuan (102305)

"…Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. The model uses fixed K-mean algorithm for feature classification and optimizes median filtering algorithm using dynamic thresholding. …"

Autoencoder structure. حسب Li Yuan (102305)

"…Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. The model uses fixed K-mean algorithm for feature classification and optimizes median filtering algorithm using dynamic thresholding. …"

Podocyte numbers in control and iPLA₂γ KO mice (WT1-positive cells). حسب Andrey V. Cybulsky (4007012)

Trends of the temperature, precipitation, and TVDI in the Santun River Irrigation Area, Xinjiang, during 2005–2023. حسب Yuxin Wei (11510974)

Pan-cancer analyses of GSRS. حسب Yu Zhang (12946)

IRE1 depletion increases chromosome instability. حسب Iratxe Zuazo-Gaztelu (21071939)

The sequences of si-RNAs used in this study. حسب Changji Li (4806930)

"…This reduction inhibits cell division, promotes cell death, and decreases cell invasion and migration. CRNN overexpression has been found to enhance cell growth and prevent cells from undergoing natural cell death, and the cancer-promoting effects of CRNN are linked to AKT activation. …"

Schematic overview of the study workflow. حسب Yu Zhang (12946)

Structure diagram of ensemble model. حسب Hongqi Wang (2208238)

"…Comparative analysis highlights the significant enhancement in prediction accuracy achieved by the proposed ensemble model over single machine learning models, with root mean square error (RMSE) values below 0.05 and mean absolute percentage error (MAPE) values remaining under 2.5% in both frozen and unfrozen states. …"

Fitting formula parameter table. حسب Hongqi Wang (2208238)

"…Comparative analysis highlights the significant enhancement in prediction accuracy achieved by the proposed ensemble model over single machine learning models, with root mean square error (RMSE) values below 0.05 and mean absolute percentage error (MAPE) values remaining under 2.5% in both frozen and unfrozen states. …"

Test plan. حسب Hongqi Wang (2208238)

"…Comparative analysis highlights the significant enhancement in prediction accuracy achieved by the proposed ensemble model over single machine learning models, with root mean square error (RMSE) values below 0.05 and mean absolute percentage error (MAPE) values remaining under 2.5% in both frozen and unfrozen states. …"

Fitting surface parameters. حسب Hongqi Wang (2208238)

"…Comparative analysis highlights the significant enhancement in prediction accuracy achieved by the proposed ensemble model over single machine learning models, with root mean square error (RMSE) values below 0.05 and mean absolute percentage error (MAPE) values remaining under 2.5% in both frozen and unfrozen states. …"