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pro vyhledávání: '"Natalia V. Dyachenko"'
Publikováno v:
Computational Science and Its Applications – ICCSA 2021 ISBN: 9783030870096
ICCSA (8)
ICCSA (8)
The paper explores the possibility of forecasting such dangerous meteorological phenomena as a thunderstorm by applying five types of neural network to the output data of a hydrodynamic model that simulates dynamic and microphysical processes in conv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::252038c42a1b3a0e67ae8ac809f2b545
https://doi.org/10.1007/978-3-030-87010-2_25
https://doi.org/10.1007/978-3-030-87010-2_25
Publikováno v:
E3S Web of Conferences, Vol 247, p 01071 (2021)
It is used here the lidar equation describing signals from a weakly turbid atmosphere to solve the problem of the determination of the atmospheric aerosol parameters. It is worthwhile to note that the backscattering and extinction coefficients are co
Autor:
Valentina A. Karnoukhova, Alexander V. Anisimov, Yurii V. Fedorov, Yulia A. Sotnikova, Sergey Tokarev, Natalia V. Dyachenko, Olga A. Fedorova, A. V. Khoroshutin
Publikováno v:
Photochemicalphotobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology. 18(12)
Photochemical oxidative cyclization of 2- and 3-thienylstilbenes (heterostilbenes) containing mono-, di- and trimethoxy groups in the benzene ring or heterocyclic fragment results in the formation of isomeric thieno-annelated polycyclic aromatic comp