Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Ivan Plokhikh"'
Publikováno v:
Energies, Vol 16, Iss 5, p 2108 (2023)
The application of machine learning to solve engineering problems is in extremely high demand. This article proposes a tool that employs machine learning algorithms for predicting the frequency response of an unsteady vortex phenomenon, the precessin
Externí odkaz:
https://doaj.org/article/2a2c71f7233f46b8b9a4a13f90aeb19e
Publikováno v:
Proceedings of 27th European Cosmic Ray Symposium — PoS(ECRS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f42ba0cab980e437a50e7701a037f50
https://doi.org/10.22323/1.423.0091
https://doi.org/10.22323/1.423.0091
Publikováno v:
Proceedings of 27th European Cosmic Ray Symposium — PoS(ECRS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64a426557566788193136c5b2dc9ca5b
https://doi.org/10.22323/1.423.0092
https://doi.org/10.22323/1.423.0092
Publikováno v:
Scopus-Elsevier
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef9f55363c3b868f9d415268857c5d6b
Autor:
Alexander Chinak, Pavel Lobanov, M. P. Tokarev, Vladimir Serdyukov, Ivan Malakhov, A. V. Seredkin, Ivan Plokhikh, Anton Surtaev, Rustam Mullyadzhanov
Publikováno v:
2020 Science and Artificial Intelligence conference (S.A.I.ence).
We apply deep learning algorithms to tackle the bubble recognition task relying on the experimental video recordings of the vapor cavities growing during the water pool boiling due to the heated bottom and an isothermal multiphase flow in a channel.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63dc82a11f7f2d58dc1d25953f83d537
https://doi.org/10.1109/s.a.i.ence50533.2020.9303175
https://doi.org/10.1109/s.a.i.ence50533.2020.9303175
Autor:
Markus Ahlers, Ivan Plokhikh, Ev Sotnikova, Dmitriy Kostunin, Pavel Bezyazeekov, Vladimir Lenok, Sergey Golovachev, Rustam Mullyadzhanov, Victoria Tokareva, Vladimir Sotnikov
Publikováno v:
Scopus-Elsevier
Proceedings of Science / International School for Advanced Studies (ICRC2021), 319 (2021). doi:10.22323/1.395.0319
37th International Cosmic Ray Conference, ICRC 2021, Berlin, online, Germany, 2021-07-12-2021-07-23
Kostunin, D, Plokhikh, I, Ahlers, M T, Tokareva, V, Lenok, V, Bezyazeekov, P, Golovachev, S, Mullyadzhanov, R & Sotnikova, E 2021, ' New insights from old cosmic rays : A novel analysis of archival KASCADE data ', P o S-Proceedings of Science, vol. 395, 319 . https://doi.org/10.22323/1.395.0319
Proceedings of Science / International School for Advanced Studies (ICRC2021), 319 (2021). doi:10.22323/1.395.0319
37th International Cosmic Ray Conference, ICRC 2021, Berlin, online, Germany, 2021-07-12-2021-07-23
Kostunin, D, Plokhikh, I, Ahlers, M T, Tokareva, V, Lenok, V, Bezyazeekov, P, Golovachev, S, Mullyadzhanov, R & Sotnikova, E 2021, ' New insights from old cosmic rays : A novel analysis of archival KASCADE data ', P o S-Proceedings of Science, vol. 395, 319 . https://doi.org/10.22323/1.395.0319
37th International Cosmic Ray Conference, ICRC 2021, Berlin, online, Germany, 12 Jul 2021 - 23 Jul 2021; Proceedings of Science / International School for Advanced Studies (ICRC2021), 319 (2021). doi:10.22323/1.395.0319
Cosmic ray data collected
Cosmic ray data collected
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6fd1c6f5150161858a39c8ff9ace7be
http://www.scopus.com/inward/record.url?eid=2-s2.0-85119947581&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-85119947581&partnerID=MN8TOARS