YANG, G.,
SUN, J.,
ZHANG, D.,
ZHANG, R.,
ZHONG, Y.,
WANG, X.,
CHEN, X.,
LIU, B.,
LI, L.,
ZHAO, S.,
WANG, L.,
YUAN, C.,
LONG, M.,
JIANG, H.,
LI, C.,
ZHOU, Q.,
LIAN, A.,
GAREEV, I. (2020) were investigated using univariable and multivariable
logistic regression
models. Results: Depressed
forecasting
model with Long Range Dependent (LRD) characteristics. The LRD forecasting
model considers
. The method is based on clinical application of 3D
modeling of results obtained by ultrasound investigations
the characteristics of large-scale parallel processing and self-learning, a deep belief network (DBN) simulation
model. The
model of polymer-stabilized ferroelectric liquid crystal cell with a quasi-bookshelf layer structure
Abdullina, D.U.,
Korznikova, E.A.,
Dubinko, V.I.,
Laptev, D.V.,
Kudreyko, A.A.,
Soboleva, E.G.,
Dmitriev, S.V.,
Zhou, K. (2020) biaxial compression is investigated in plane strain conditions using the chain
model. In this
model