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Randomized Machine Learning and Forecasting of Nonlinear Dynamic Models Applied to SIR Epidemiological Model
Popkov A.Y., Dubnov Y.A., Popkov Y.S.
Forecasting Development of COVID-19 Epidemic in European Union Using Entropy-Randomized Approach
Popkov Y.S., Dubnov Y.A., Popkov A.Y.
Recurrent Neural Networks with Continuous Learning in Problems of News Streams Multifunctional Processing
Osipov V.Y., Kuleshov S.V., Miloserdov D.I., Zaytseva A.A., Aksenov A.Y.
Identification of Deterioration caused by AHF, MADS or CE by RR and QT Data Classification
Abramov M.V., Tsukanova E.I., Tulupyev A.L., Korepanova A.A., Aleksanin S.S.
Approach for the COVID-19 Epidemic Source Localization in Russia Based on Mathematical Modeling
Osipov V.Y., Kuleshov S.V., Zaytseva A.A., Aksenov A.Y.
Balance Model of COVID-19 Epidemic Based on Percentage Growth Rate
Zakharov V.V., Balykina Y.E.
Machine Learning Applications for Delivery Time Prediction and Freight Planning
Hung N.V., Thu Huong T., Tan N., Doan T.C., Nam-Hoang N.
Recovery of Discrete-Time Signal Based on the Moving Average Model and Estimation of the Samples Correlation in Forward and Reverse Forecasting
Yakimov V.N.
Building Predictive Smell Models for Virtual Reality Environments
Hung N.V., Quan N.A., Tan N., Hai T.T., Trung D.K., Nam L.M., Loan B.T., Nga N.T.
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