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
modelKAZANTSEVA, A.V.,
DAVYDOVA, YU.D.,
ENIKEEVA, R.F.,
LOBASKOVA, M.M.,
MUSTAFIN, R.N.,
MALYKH, S.B.,
TAKHIROVA, Z.R.,
KHUSNUTDINOVA, E.K. (2020) gene-by-environment interaction
models explaining individual variance in depression in mentally healthy
RYSAEVA, L.KH.,
KORZNIKOVA, E.A.,
MURZAEV, R.T.,
ABDULLINA, D.U.,
KUDREIKO, A.A.,
BAIMOVA, J.A.,
LISOVENKO, D.S.,
DMITRIEV, S.V.,
DMITRIEV, S.V. (2020) followed by unloading is
modeled under plane strain conditions. The
chain model with a reduced number
as an elastic damper for vibration and shock protection. In this work, using a
chain model with a reduced number
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