Zobrazeno 1 - 10
of 36
pro vyhledávání: '"E. I. Nikolaev"'
Publikováno v:
Russian Aeronautics. 65:483-489
Publikováno v:
Сибирский научный медицинский журнал, Vol 44, Iss 1, Pp 139-146 (2024)
Pregnancy in the uterus rudimentary horn (PURH) is a rare form of ectopic pregnancy that develops in women suffering from abnormalities in the development of growth and fusion of the Mullerian paramesonephral ducts. A literature search was conducted
Externí odkaz:
https://doaj.org/article/72021828ef344df687c56142c035f053
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 1155:012061
The base of smart manufacturing contains two main components: cyber-physical systems and the Internet-of-Things (IoT). But the progress in machine learning, Big Data and deep learning technologies have a great impact on all areas of the modern econom
Publikováno v:
Russian Aeronautics (Iz VUZ). 59:308-315
Safety factors of the Ansat helicopter main rotor blade are determined in the root section at various flight modes with taking into account the possible damages.
Autor:
M. N. Nikolaeva, E. I. Nikolaev
Publikováno v:
Russian Aeronautics (Iz VUZ). 59:8-14
The numerical method for calculating the induced velocities of the helicopter rotor was developed based on Shaidakov’s disk theory. The numerical experiments were performed to test and estimate the method developed.
Autor:
E. I. Nikolaeva, A. N. Sulima
Publikováno v:
Сибирский научный медицинский журнал, Vol 43, Iss 2, Pp 54-60 (2023)
Vaginal delivery after a Caesarean section remains a controversial topic: there is a lack of reliable data to help doctors and women in labour to determine the best option for delivery during subsequent pregnancy. The review analyzed and summarized t
Externí odkaz:
https://doaj.org/article/fcc1e3c1432542cdbc4fc7579c597da6
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 582:012013
Advances in deep neural networks have led to impressive results in recent years. The new technologies such as cross-domain adaptation, reinforcement learning and generative adversarial networks have shown a real promise for industrial and real-life a
Autor:
E I Nikolaev
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 537:032085
Advances in deep learning have led to impressive results in recent years. The new technologies such as convolutional neural networks, reinforcement learning and generative adversarial networks have shown a real promise for industrial and real-life ap
Autor:
E. I. Nikolaev, E. N. Antoshkina
Publikováno v:
Russian Aeronautics (Iz VUZ). 55:357-365
The basic equations of the main rotor blade motion with the preservation of nonlinear terms are presented. The results of analyzing the term values for nonlinear equations obtained for different flight regimes and several aeroelasticity problems are
Publikováno v:
Russian Aeronautics (Iz VUZ). 54:242-246
A procedure of ANSYS software application for solving an inverse problem of composite elastic element strength of the helicopter main rotor is presented. The simplex method is used to select parameters in minimization of the objective residual functi