Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Alexander Derendyaev"'
Autor:
Valery Gitis, Alexander Derendyaev
Publikováno v:
Remote Sensing, Vol 15, Iss 8, p 2171 (2023)
Earthquakes are a severe natural phenomenon that require continuous monitoring, analysis, and forecasting to mitigate their risks. Seismological data have long been used for this purpose, but geodynamic data from remote sensing of surface displacemen
Externí odkaz:
https://doaj.org/article/bff4f1bb52a146f6a0c106550e5d698a
Autor:
Valeri Gitis, Alexander Derendyaev
Publikováno v:
Frontiers in Earth Science, Vol 11 (2020)
An approach for the systematic forecasting of earthquake magnitudes is considered. To solve this problem, we use the minimum area of alarm method. Testing the approach for Kamchatka and the Aegean Region shows a satisfactory quality of the forecast o
Externí odkaz:
https://doaj.org/article/9073f81bf80a4bddba374b98a66f14a5
Publikováno v:
Remote Sensing, Vol 13, Iss 9, p 1842 (2021)
The results of earthquake prediction largely depend on the quality of data and the methods of their joint processing. At present, for a number of regions, it is possible, in addition to data from earthquake catalogs, to use space geodesy data obtaine
Externí odkaz:
https://doaj.org/article/1fd0033c5e2046b0a4e34f7892f60cfb
Autor:
Valeri Gitis, Alexander Derendyaev, Konstantin Petrov, Eugene Yurkov, Sergey Pirogov, Natalia Sergeeva, Boris Alekseev, Andrey Kaprin
Publikováno v:
Applied Sciences, Vol 11, Iss 9, p 3836 (2021)
Prostate cancer is the second most frequent malignancy (after lung cancer). Preoperative staging of PCa is the basis for the selection of adequate treatment tactics. In particular, an urgent problem is the classification of indolent and aggressive fo
Externí odkaz:
https://doaj.org/article/1c64cc35b4e14920b5502ff5a050f902
Publikováno v:
Information Processes. 21:182-202
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41b2f8dce24217ab12effac03f4f8325
https://doi.org/10.53921/18195822_2021_21_3_182
https://doi.org/10.53921/18195822_2021_21_3_182
Autor:
Andrey Kaprin, E. F. Yurkov, Sergey Pirogov, Alexander Derendyaev, B. Ya. Alekseev, V. G. Gitis, Konstantin N. Petrov, N. S. Sergeeva
Publikováno v:
Information Processes. 21:30-39
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e4e4806321d5bdb48016f6026cc4716
https://doi.org/10.53921/18195822_2021_21_1_30
https://doi.org/10.53921/18195822_2021_21_1_30
Publikováno v:
Remote Sensing; Volume 13; Issue 9; Pages: 1842
Remote Sensing, Vol 13, Iss 1842, p 1842 (2021)
Remote Sensing, Vol 13, Iss 1842, p 1842 (2021)
The results of earthquake prediction largely depend on the quality of data and the methods of their joint processing. At present, for a number of regions, it is possible, in addition to data from earthquake catalogs, to use space geodesy data obtaine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca149f1a6a669392ade6024a3dce2f98
Autor:
Eugene Yurkov, Konstantin N. Petrov, Sergey Pirogov, Valeri Gitis, Alexander Derendyaev, Boris Alekseev, N. S. Sergeeva, Andrey Kaprin
Publikováno v:
Applied Sciences, Vol 11, Iss 3836, p 3836 (2021)
Applied Sciences
Volume 11
Issue 9
Applied Sciences
Volume 11
Issue 9
Prostate cancer is the second most frequent malignancy (after lung cancer). Preoperative staging of PCa is the basis for the selection of adequate treatment tactics. In particular, an urgent problem is the classification of indolent and aggressive fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26879889544f8fb9d2a36ce69c6922f4
https://www.mdpi.com/2076-3417/11/9/3836
https://www.mdpi.com/2076-3417/11/9/3836
Publikováno v:
Computational Science and Its Applications – ICCSA 2021 ISBN: 9783030869786
ICCSA (6)
ICCSA (6)
This article presents the results of applying the method of the minimum area of alarm to the complex forecasting of earthquakes based on data of different types. Point fields of earthquake epicenters and time series of displacements of the earth’s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::277035dd08ca8b022217d2be2a7aa471
https://doi.org/10.1007/978-3-030-86979-3_42
https://doi.org/10.1007/978-3-030-86979-3_42
Autor:
Valeri Gitis, Alexander Derendyaev
Publikováno v:
Geosciences
Volume 9
Issue 7
Geosciences, Vol 9, Iss 7, p 308 (2019)
Volume 9
Issue 7
Geosciences, Vol 9, Iss 7, p 308 (2019)
In this paper, we suggest two machine learning methods for seismic hazard forecast. The first method is used for spatial forecasting of maximum possible earthquake magnitudes ( M m a x ), whereas the second is used for spatio-temporal forecasting of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5631387b39c7b34f74ea5dec07167025