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Title
Authors
Vol 17, No 4 (2021)
On the applicability of ARPS models in modelingand forecasting the dynamics of new cases of COVID-19 infection
Korotkov M.G., Petrov A.A., Kurkina M.V.
PDF
(Rus)
Vol 17, No 3 (2021)
Computer analysis and of oil and gas refining processes
Korneev D.S., Kotvanova M.K.
PDF
(Rus)
Vol 21, No 1 (2025)
On the issue of industrial safety and injury rates at electric power facilities
Niyazov A.R.
PDF
(Rus)
Vol 16, No 3 (2020)
Problems of identifying time series intervals when predicting the dynamics of the number of infected Covid-19 by statistical methods using the example of Yugra
Korotkov M.G., Petrov A.A., Kurkina M.V.
PDF
(Rus)
Vol 20, No 2 (2024)
Review of methods for prediction parameters of electricity quality and electric consumption
Lyutarevich A.G.
PDF
(Rus)
Vol 15, No 2 (2019)
The usage of a neural networks for forecasting population a region
Bredikhin A.I.
PDF
(Rus)
Vol 19, No 4 (2023)
Modernization of the method for predicting energy consumption of minigrid load nodes by using extrapolation of the trend line obtained using wavelet transformation of the electrical load graph
Tkachenko V.A., Osipov D.S.
PDF
(Rus)
Vol 14, No 3 (2018)
Wavelet analysis of the El Niño – La Niña phenomenon dynamics and its forecasting
Alekseev V.I.
PDF
(Rus)
Vol 19, No 3 (2023)
Improving the quality of the forecast through methods of combining forecasts
Rusanov M.A., Shergin S.N., Tatjankin V.M.
PDF
(Rus)
Vol 14, No 1 (2018)
Forecasting the orbital-climate diagram dynamics based on the wavelet analysis and fuzzy neural networks
Alekseev V.I.
PDF
(Rus)
Vol 20, No 1 (2024)
Algorithm for the numerical investigation of cathode processes of zinc electroextraction
Kashapov N.F., Chebakova V.Y., Chebakova E.V., Kormushin K.V.
PDF
(Rus)
Vol 19, No 2 (2023)
Application of neural networks for prediction of power consumption parameters
Lyutarevich A.G.
PDF
(Rus)
1 - 12 of 12 Items

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