Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Bogdana Mandrikova"'
Autor:
Oksana Mandrikova, Bogdana Mandrikova
Publikováno v:
Mathematics, Vol 12, Iss 7, p 1079 (2024)
It is often difficult to describe natural time series due to implicit dependences and correlated noise. During anomalous natural processes, anomalous features appear in data. They have a nonstationary structure and do not allow us to apply traditiona
Externí odkaz:
https://doaj.org/article/4e6d0f44266341dd9be13bdfdf4545c2
Publikováno v:
Engineering Proceedings, Vol 33, Iss 1, p 63 (2023)
A method for analyzing natural data and detecting anomalies is proposed. The method is based on combining wavelet filtering operations with the NARX neural network. The analysis of natural data and the detection of anomalies are of particular relevan
Externí odkaz:
https://doaj.org/article/3f001a4e0c4d4d409139b8731e40b88f
Publikováno v:
Mathematics, Vol 11, Iss 11, p 2464 (2023)
A hybrid approach is proposed to detect anomalies in natural complicated data structures with high noise levels. The approach includes the application of an autoencoder neural network and singular spectrum analysis (SSA) with an adaptive anomaly dete
Externí odkaz:
https://doaj.org/article/885baec757f74f36bcff1fbe3564d74f
Autor:
Oksana Mandrikova, Bogdana Mandrikova
Publikováno v:
Symmetry, Vol 14, Iss 4, p 744 (2022)
Cosmic rays were discovered by the Austrian physicist Victor Hess in 1912 in a series of balloon experiments performed between 1911 and 1912. Cosmic rays are an integral part of fundamental and applied research in the field of solar–terrestrial phy
Externí odkaz:
https://doaj.org/article/2cab5c7c6ed54aa386c9b92d8283e528
Autor:
Oksana Mandrikova, Bogdana Mandrikova
Publikováno v:
Symmetry, Vol 13, Iss 12, p 2313 (2021)
Since their discovery, cosmic rays have been an integral part of the development of fundamental physics, from the discovery of radiation coming to the Earth from outer space and the identification of high-energy particles in it, as well as new fundam
Externí odkaz:
https://doaj.org/article/298c248053f94933b787f48d8b106e0a
Publikováno v:
Mathematics, Vol 9, Iss 7, p 737 (2021)
A method for identification of structures of a complex signal and noise suppression based on nonlinear approximating schemes is proposed. When we do not know the probability distribution of a signal, the problem of identifying its structures can be s
Externí odkaz:
https://doaj.org/article/970e699f9560423e91942a6472fabd02
Autor:
Vladimir Geppener, Bogdana Mandrikova
Publikováno v:
2022 VIII International Conference on Information Technology and Nanotechnology (ITNT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a6c17ed27acbea25ea2684059d86954
https://doi.org/10.1109/itnt55410.2022.9848583
https://doi.org/10.1109/itnt55410.2022.9848583
Autor:
Vladimir Geppener, Bogdana Mandrikova
Publikováno v:
2021 International Conference on Information Technology and Nanotechnology (ITNT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5150ed606fbd34190fd1d75814022431
https://doi.org/10.1109/itnt52450.2021.9649436
https://doi.org/10.1109/itnt52450.2021.9649436
Publikováno v:
Mathematics, Vol 9, Iss 737, p 737 (2021)
Mathematics
Volume 9
Issue 7
Mathematics
Volume 9
Issue 7
A method for identification of structures of a complex signal and noise suppression based on nonlinear approximating schemes is proposed. When we do not know the probability distribution of a signal, the problem of identifying its structures can be s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06920ce2ccfb172f876a935313693b86
https://www.mdpi.com/2227-7390/9/7/737
https://www.mdpi.com/2227-7390/9/7/737
Autor:
Bogdana Mandrikova, V. V. Geppener
Publikováno v:
2020 International Conference on Information Technology and Nanotechnology (ITNT).
An automated method for cosmic ray data analysis and detection of sporadic effect occurrence periods is described. The method is based on joint application of wavelet transform and neural networks of vector quantization. The paper illustrates the res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c63b9e24ed44a85ece01cb1676b0a5ee
https://doi.org/10.1109/itnt49337.2020.9253217
https://doi.org/10.1109/itnt49337.2020.9253217