Zobrazeno 1 - 10
of 54
pro vyhledávání: '"A. E. Shepelev"'
Autor:
A. T. Volkov, R. E. Shepelev
Publikováno v:
Вестник университета, Vol 0, Iss 9, Pp 113-122 (2023)
The article analyzes technological development of the oil and gas industry in Russian Federation under international sanctions, as well as the directions of technology development and equipment production. The article purpose is to identify ways to a
Externí odkaz:
https://doaj.org/article/e0850cdc198248fbafdabf10f3a8a16e
Autor:
A. T. Volkov, R. E. Shepelev
Publikováno v:
Ekonomika Nauki, Vol 8, Iss 2, Pp 140-151 (2022)
The article is devoted to the issues of creating a barrier-free environment for free circulation in the intellectual property market of the post-Soviet countries, which today is in a depressing state. One of the factors of its successful functioning
Externí odkaz:
https://doaj.org/article/8c1a07dc00f74dcdae4317982036ad04
Publikováno v:
Patologìâ, Iss 3, Pp 314-318 (2017)
Aim. In order to analyze the dynamics of expression of glial fibrillar acidic protein in the sensorimotor cortex of the large hemispheres in the simulation of transient ischemia against the background of previous sensitization by brain antigen and im
Externí odkaz:
https://doaj.org/article/6492e8ad73274f478e7dcaff76961445
Publikováno v:
Russian Physics Journal. 65:375-381
Publikováno v:
Bulletin of the Russian Academy of Sciences: Physics. 86:716-720
Publikováno v:
Neurophysiology. 53:68-77
Publikováno v:
Vіsnik Naukovih Doslіdžen', Vol 0, Iss 4 (2018)
Ischemia is accompanied by diffuse damage of structural elements of brain: neurons, glia and intercellular contacts. One of the markers that demonstrate glial functional processes in nervous system is the S-100 protein. The aim of the study – to l
Externí odkaz:
https://doaj.org/article/22ab850d69f74412ae9f20d92229f189
Autor:
V. N. Kiroy, D. G. Shaposhnikov, O. M. Bakhtin, Anton Igorevich Saevskiy, I. E. Shepelev, D. M. Lazurenko
Publikováno v:
Optical Memory and Neural Networks. 30:26-36
The neural network-based approach to the classification of implicit emotional components in ordinary speech is considered. Mel-frequency cepstral coefficients were used as feature vectors, and the multilayer perceptron with one hidden layer was used
Publikováno v:
Advances in Neural Computation, Machine Learning, and Cognitive Research V ISBN: 9783030915803
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6479e49fc43aadb1d72b89fa33881f4d
https://doi.org/10.1007/978-3-030-91581-0_8
https://doi.org/10.1007/978-3-030-91581-0_8
Autor:
I. E. Shepelev, Pavel Dmitrievich Shaposhnikov, V. N. Kiroy, D. M. Lazurenko, D. G. Shaposhnikov
Publikováno v:
Advances in Neural Computation, Machine Learning, and Cognitive Research V ISBN: 9783030915803
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5354b7b45e74bf078e4778f55b5062e
https://doi.org/10.1007/978-3-030-91581-0_9
https://doi.org/10.1007/978-3-030-91581-0_9