Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Mikhail Sarafanov"'
Autor:
Mikhail Sarafanov, Yulia Borisova, Mikhail Maslyaev, Ilia Revin, Gleb Maximov, Nikolay O. Nikitin
Publikováno v:
Water, Vol 13, Iss 24, p 3482 (2021)
The paper presents a hybrid approach for short-term river flood forecasting. It is based on multi-modal data fusion from different sources (weather stations, water height sensors, remote sensing data). To improve the forecasting efficiency, the machi
Externí odkaz:
https://doaj.org/article/ec54427fd794415b8d8c8ef02988913e
Publikováno v:
Remote Sensing, Vol 12, Iss 23, p 3865 (2020)
Satellite remote sensing has now become a unique tool for continuous and predictable monitoring of geosystems at various scales, observing the dynamics of different geophysical parameters of the environment. One of the essential problems with most sa
Externí odkaz:
https://doaj.org/article/c75890914f3f4e9091d57140a083c142
Publikováno v:
2022 IEEE Congress on Evolutionary Computation (CEC).
Publikováno v:
16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021) ISBN: 9783030878689
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f26efed1e8d9a9b9a8851c788639f940
https://doi.org/10.1007/978-3-030-87869-6_60
https://doi.org/10.1007/978-3-030-87869-6_60
Autor:
Pavel Vychuzhanin, Alexander V. Boukhanovsky, Anna V. Kalyuzhnaya, Iana S. Polonskaia, Ilia Revin, Gleb Maximov, Nikolay O. Nikitin, Mikhail Sarafanov, Irina V. Barabanova
The effectiveness of the machine learning methods for real-world tasks depends on the proper structure of the modeling pipeline. The proposed approach is aimed to automate the design of composite machine learning pipelines, which is equivalent to com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53f1382bdc4d736b63a1ae7ced640229
Autor:
Alexander Hvatov, Mikhail Maslyaev, Iana S. Polonskaya, Mikhail Sarafanov, Mark Merezhnikov, Nikolay O. Nikitin
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030918842
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a0d922f00aa4afeb346b5b14c01cb90
https://doi.org/10.1007/978-3-030-91885-9_6
https://doi.org/10.1007/978-3-030-91885-9_6
Publikováno v:
E3S Web of Conferences, Vol 163, p 01009 (2020)
The article presents the results of the development of a model for calculating levels at one gauging station using the levels at another. To link the levels at two gauging stations, the data on levels, temperature and precipitation were used. The use
Autor:
Kirill Shemanaev, Mikhail Sarafanov, Lyubov Kurochkina, Sergey Zhuravlev, Eduard Kazakov, Yulia Borisova
Publikováno v:
E3S Web of Conferences, Vol 163, p 02002 (2020)
In recent decades there has been a trend towards an increase in the number of dangerous hydrological events, especially floods. In order to protect citizens and solve economic problems, it is important to develop and actively introduce into operation