Model prediction error analysis. by 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. …”

S1 File - A novel yeast-derived aldehyde-reducing compound MF001 protects against alcohol-induced liver damage by Eun-Ho Lee (2696890)

Complexity comparison of different models. by 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. by 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. by 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. by 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. by 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. …”

Effect of down-regulation and up-regulation of CRNN on cell proliferation. by Changji Li (4806930)

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

Effect of down-regulation and up-regulation of CRNN on cell apoptosis. by Changji Li (4806930)

MF001 reduces the expression of lipogenic genes and proteins. by Eun-Ho Lee (2696890)

The effect of CRNN downregulation on migration and invasion ability in cSCC cells. by Changji Li (4806930)

MF001 liberates alcohol-induced lipogenesis in mice. by Eun-Ho Lee (2696890)

MF001 relieved alcohol-induced inflammation and fatty liver symptoms in mice. by Eun-Ho Lee (2696890)

MF001 attenuates alcohol-induced fatty liver phenotypes in mice. by Eun-Ho Lee (2696890)

Data information. by Yuxin Wei (11510974)

“…The results show that the mean value of the TVDI in the Xinjiang Santun River Irrigation Area during 19 years was 0. 738, categorizing it as medium drought. …”

MF001 protects against alcohol-induced liver inflammation. by Eun-Ho Lee (2696890)

CRNN over-expression promotes the growth of cSCC xenografts in vivo. by Changji Li (4806930)

MF001 alleviates lipid accumulation in primary hepatocytes. by Eun-Ho Lee (2696890)

Geometric interpretation and data visualisation equivalent describing the DI algorithmic pipeline. by Borjan Milinkovic (21349908)