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Publications in Math-Net.Ru
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Intelligent methods for natural data analysis: application to space weather
Computer Optics, 48:1 (2024), 139–148
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Modeling and analysis of fof2 data using narx neural networks and wavelets
Vestnik KRAUNC. Fiz.-Mat. Nauki, 41:4 (2022), 137–146
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Modeling and analysis of ionospheric parameters based on generalized multicomponent model
Vestnik KRAUNC. Fiz.-Mat. Nauki, 41:4 (2022), 89–106
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Method for modeling of ionospheric parameters and detection of ionospheric disturbances
Zh. Vychisl. Mat. Mat. Fiz., 61:7 (2021), 1101–1112
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Automated method for calculating the Dst-index based on the wavelet model of geomagnetic field variations
Computer Optics, 44:5 (2020), 797–808
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Method of noise detection in magnetic data
Vestnik KRAUNC. Fiz.-Mat. Nauki, 29:4 (2019), 87–97
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The analysis of dependence of the values of the Dst-index counted by means of three techniques from the level of solar and geomagnetic activity
Vestnik KRAUNC. Fiz.-Mat. Nauki, 29:4 (2019), 77–86
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The analysis of ionospheric parameters during periods of solar events and geomagnetic storms
Vestnik KRAUNC. Fiz.-Mat. Nauki, 2016, no. 4(15), 49–55
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Analysis of geomagnetic field data and cosmic rays variations during periods of increased solar activity
Vestnik KRAUNC. Fiz.-Mat. Nauki, 2016, no. 3(14), 40–46
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A neural network system for estimation of the geomagnetic field disturbance
Vestnik KRAUNC. Fiz.-Mat. Nauki, 2016, no. 3(14), 34–39
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Analysis of space weather events in 2014 according to the observations in the north-eastern region of Russia
Vestnik KRAUNC. Fiz.-Mat. Nauki, 2016, no. 1(12), 66–84
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An automatic method for estimating the geomagnetic field
Computer Optics, 39:3 (2015), 420–428
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