… A neural network model was established and the accuracy of the neural network diagnostic
model was verified clinically. Results A total of 223 samples were collected in this study, 156 …

… There is no definite formula to explain or predict a movie’s popularity with cinema-goers. …
and non-lymphoid organs on a model of experimental type 1 diabetes mellitus. Migration, …

… Although current rodent models offer many advantages … and co-morbidities (eg, diabetes,
hypertension), the number of … of systemic biomarkers, and optimization of therapeutic dosing. …

… Using deep neural networks for synthetic aperture radar image registration[C]. Proceedings
of 2016 IEEE International Geoscience and Remote Sensing Symposium, Beijing, China, …

… production conditions were predicted using response surface methodology. A response
surface model was developed to predict the optimal reducing sugar production using 3% NaOH, …

… technique in the clinic, but the excessive imaging time limits its further development. … of
deep learning in data-driven end-to-end reconstruction and model-driven unrolled optimization …

… A food recognition system for diabetic patients based on an optimized bag-of-features model.
… Fast auto-clean CNN model for online prediction of food materials. Journal of Parallel and …

… The models considered global … optimize the combination of factors of production and the
distribution of surplus-value between capital and labor, that is, according to the classical models …

… in amnesicmild cognitive impairment of diabetes mellitus [J]. J … The IFAST model allows the
prediction of conversion to Alzheimer … Epileptic EEG classification based on extreme learning …

… stick models signify key functional groups; the red and white ball and stick models mean …
ball indicates Ca2+ moving in the pore; the two-headed arrows denote the vibrations of C–O …