Zobrazeno 1 - 10
of 38
pro vyhledávání: '"S. S. Abdurakipov"'
Publikováno v:
Optoelectronics, Instrumentation and Data Processing. 58:98-108
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::637b6b798f3a3110784cdbe313876929
https://doi.org/10.3103/s8756699022010010
https://doi.org/10.3103/s8756699022010010
Autor:
S. S. Abdurakipov, E. B. Butakov
Publikováno v:
Optoelectronics, Instrumentation and Data Processing. 56:586-597
The developed classical machine learning models based on linear models and decision trees, the modern algorithms of convolutional neural networks, and the neural network autoencoder are compared in solving the problem of predictive detection of pre-f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c3efeebfc8564ba4103b56ed0c5b288
https://doi.org/10.3103/s8756699020060023
https://doi.org/10.3103/s8756699020060023
Publikováno v:
Combustion, Explosion, and Shock Waves. 55:697-701
An experimental study of the effect of pulverization on the thermal destruction of coal is carried out. Artificial neural networks are used to develop a model that allows predicting the degree of burnout of pulverized coals with high accuracy (an ave
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b51aad7462fe093de8425e1347a7daf2
https://doi.org/10.1134/s0010508219060108
https://doi.org/10.1134/s0010508219060108
Publikováno v:
Optoelectronics, Instrumentation and Data Processing. 55:205-211
A machine learning approach for prediction the characteristics of tonal noise formed in a foil flow is tested. Experimental data are used to construct and analyze the mathematical models of pressure amplitude regression and models of classification o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63c7d5631200ddf095bb51050b16d757
https://doi.org/10.3103/s8756699019020134
https://doi.org/10.3103/s8756699019020134
Autor:
S. S. Abdurakipov, K. G. Dobroselsky
Publikováno v:
Siberian Journal of Physics. 14:5-14
Using an optical method for measuring the velocity fields Particle Image Velocimetry (PIV) and a statistical method for analyzing coherent structures in turbulent flows Proper Orthogonal Decomposition (POD), an experimental study of the spatial struc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bfda83f8e58dc7ef015929bfd975bbcc
https://doi.org/10.25205/2541-9447-2019-14-3-5-14
https://doi.org/10.25205/2541-9447-2019-14-3-5-14
Publikováno v:
Combustion, Explosion, and Shock Waves. 54:642-648
This paper describes an experimental study of the spatial structure of the chemical reaction zone in turbulent swirling flames by planar laser-induced fluorescence of formaldehyde (HCHO). Combustion of the methane–air mixture at atmospheric pressur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a67ae75f8c2059b35deb2e726159a35e
https://doi.org/10.1134/s0010508218060023
https://doi.org/10.1134/s0010508218060023
Publikováno v:
Optoelectronics, Instrumentation and Data Processing. 54:513-519
A method for automatic determination of combustion regimes using flame images on the basis of a convolutional neural network on labeled data is under consideration. It is shown that the accuracy of regime classification reaches 98% on the flame image
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::902918e4290844a943effd098464aaf8
https://doi.org/10.3103/s875669901805014x
https://doi.org/10.3103/s875669901805014x
Publikováno v:
Thermophysics and Aeromechanics. 25:379-386
Investigation results on unsteady flow dynamics in a gaseous jet flame with strong swirl, vortex breakdown, and precession of a vortex core obtained by panoramic optical methods are presented, as well as the results of theoretical analysis of the fas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ba69a3d808ed33e45c331ba404b1123
https://doi.org/10.1134/s086986431803006x
https://doi.org/10.1134/s086986431803006x
Autor:
M. P. Tokarev, Mikhail Hrebtov, Sergey Alekseenko, Dmitriy M. Markovich, S. S. Abdurakipov, Vladimir M. Dulin
Publikováno v:
International Journal of Heat and Fluid Flow. 70:363-379
The present paper reports on high-speed tomographic particle image velocimetry measurements of large-scale coherent structures in the near field of swirling turbulent jets. Three flow cases are considered: a jet without superimposed swirl; a jet with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bad478ed4ec6df30248fd333e39d9981
https://doi.org/10.1016/j.ijheatfluidflow.2017.12.009
https://doi.org/10.1016/j.ijheatfluidflow.2017.12.009
Publikováno v:
Siberian Journal of Physics. 13:46-59
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b7b8c7550547d8089671605845b526e
https://doi.org/10.25205/2541-9447-2018-13-4-46-59
https://doi.org/10.25205/2541-9447-2018-13-4-46-59