Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Mochalova Anastasia"'
Autor:
Mochalov Vladimir, Mochalova Anastasia
Publikováno v:
E3S Web of Conferences, Vol 196, p 03002 (2020)
In order to improve the quality of recognition of ionograms, the use of general knowledge about the reference marking of ionograms at various points of installation of ionosondes of the same type is considered. On the basis of reference markings from
Externí odkaz:
https://doaj.org/article/9e23498f17894058a0ad19668c442945
Autor:
Mochalov Vladimir, Mochalova Anastasia
Publikováno v:
E3S Web of Conferences, Vol 196, p 02007 (2020)
In this paper, the previously obtained results on recognition of ionograms using deep learning are expanded to predict the parameters of the ionosphere. After the ionospheric parameters have been identified on the ionogram using deep learning in real
Externí odkaz:
https://doaj.org/article/e5c6b089d0cd4b7e9b88557a3052bef6
Autor:
Mochalov Vladimir, Mochalova Anastasia
Publikováno v:
E3S Web of Conferences, Vol 127, p 01004 (2019)
Based on a new developed author’s method for recognition traces of reflections from different layers of the ionosphere in ionograms, the ionosphere parameters are extracted. The method is based on the use of deep neural networks (DNN). The rules fo
Externí odkaz:
https://doaj.org/article/22d7e2e8605d4e5f8ef2e3de77c7ae6d
Autor:
Mochalov Vladimir, Mochalova Anastasia
Publikováno v:
E3S Web of Conferences, Vol 127, p 02024 (2019)
When we analyze geophysical data, the task of searching for structures by their samples and mathematical models often appears. We propose to use deep neural networks (DNN) to search and detect the forms of geophysical structures. At the same time, bo
Externí odkaz:
https://doaj.org/article/c62df846d37745c6b8bbb7e655066e32
Autor:
Mochalov Vladimir, Mochalova Anastasia
Publikováno v:
E3S Web of Conferences, Vol 62, p 02001 (2018)
Algorithms for streaming whistler recognition are offered. Different stages of algorithms are considered. The developed algorithms are used on a mini-computer software and hardware complexes for monitoring very low-frequency electromagnetic radiation
Externí odkaz:
https://doaj.org/article/ddd05ef4ef2f496e9a08168bd299c191
Autor:
Karimov Rustam, Mochalov Vladimir, Mochalova Anastasia, Tarabukina Lena, Argunov Vyacheslav, Gotovcev Mikhail
Publikováno v:
E3S Web of Conferences, Vol 62, p 02004 (2018)
Since from November 2017 to August 2018, synchronous registration of atmospherics and whistlers at the radiophysical station “Oibenkyol”, began in the operational mode within the network SSAN/VLF (“Sensor signal analysis network/Very low freque
Externí odkaz:
https://doaj.org/article/ff27bf8f6ae04286972d948ce0bd6892
Algorithms for changing the structure of geospace self-organizing question-answering sensor networks
Autor:
Mochalov Vladimir, Mochalova Anastasia
Publikováno v:
E3S Web of Conferences, Vol 20, p 02009 (2017)
Optimization problems of construction, development and changing the structure of geospace self-organizing question-answering sensor networks (GSQASN) are considered. The task specifies the coordinates of various network nodes. It is required with the
Externí odkaz:
https://doaj.org/article/60dd48ee4d9346ae86360ead5acb8a19
Autor:
Mochalov Vladimir, Mochalova Anastasia
Publikováno v:
E3S Web of Conferences, Vol 20, p 02010 (2017)
The paper considers a developing software-hardware complex «Sensor signal analysis network» for distributed and time synchronized analysis of electromagnetic radiations. The areas of application and the main features of the complex are described. A
Externí odkaz:
https://doaj.org/article/8583f9a1906b4921b59b63b2f59a3d70
Autor:
Pal, Sumanta Kumar, Albiges, Laurence, Tomczak, Piotr, Suárez, Cristina, Voss, Martin H, de Velasco, Guillermo, Chahoud, Jad, Mochalova, Anastasia, Procopio, Giuseppe, Mahammedi, Hakim, Zengerling, Friedemann, Kim, Chan, Osawa, Takahiro, Angel, Martín, Gupta, Suyasha, Khan, Omara, Bergthold, Guillaume, Liu, Bo, Kalaitzidou, Melania, Huseni, Mahrukh, Scheffold, Christian, Powles, Thomas, Choueiri, Toni K *
Publikováno v:
In The Lancet 15-21 July 2023 402(10397):185-195
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