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Issue Date | Title | Author(s) |
2022 | Adaptive Ensemble Models for Medium-Term Forecasting of Water Inflow When Planning Electricity Generation under Climate Change | Matrenin, P.; Safaraliev, M.; Dmitriev, S.; Kokin, S.; Eshchanov, B.; Rusina, A. |
2020 | Application of methods of machine learning to forecasting the motion of stock indices | Lokshtein, D.; Kovaleva, A.G.; Локштейн, Д. А.; Ковалева, А. Г. |
2015 | An approach to the analysis of Strategic Development Trend in the electricity production regarding the energy sector framework: The Ukrainian and Spanish cases | Sihua, V.; Calvo-Silvosa, A.; Starodumov, I. |
2013 | Assessment of the forecasting options of the region's development | Chichkanov, V. P.; Dulshchik, Yu. S.; Rayevsky, S. V.; Yarlykapov, A. B. |
2023 | Atomistic-informed kinetic phase-field modeling of non-equilibrium crystal growth during rapid solidification | Kavousi, S.; Ankudinov, V.; Galenko, P. K.; Asle, Zaeem, M. |
2022 | Computational prediction of new magnetic materials | Rahmanian, Koshkaki, S.; Allahyari, Z.; Oganov, A. R.; Solozhenko, V. L.; Polovov, I. B.; Belozerov, A. S.; Katanin, A. A.; Anisimov, V. I.; Tikhonov, E. V.; Qian, G. -R.; Maksimtsev, K. V.; Mukhamadeev, A. S.; Chukin, A. V.; Korolev, A. V.; Mushnikov, N. V.; Li, H. |
2012 | Conceptual foresight of energy-investment attractiveness of subjects of the Ural Federal District | Denisova, O. A.; Bystray, G. P. |
2012 | Conceptual foresight of the volumes of postal money orders in the Republic of Komi | Kuratova, L. A. |
2022 | Deep learning for Covid-19 forecasting: State-of-the-art review. | Kamalov, F.; Rajab, K.; Cherukuri, A. K.; Elnagar, A.; Safaraliev, M. |
2016 | Definition of conditionally permanent part of current liabilities of a bank | Vozhzhov, A. P.; Lunyakov,O. V.; Lunyakova, N. A. |
2022 | Dynamic Modeling of Professional Mobility in the Context of Labor Market Precarization | Tarasyev, A. A.; Agarkov, G. A.; Sushchenko, A. D.; Tarasyev, A. M. |
2021 | #EEGManyLabs: Investigating the Replicability of Influential EEG Experiments | Pavlov, Y. G.; Adamian, N.; Appelhoff, S.; Arvaneh, M.; Benwell, C. S. Y.; Beste, C.; Bland, A. R.; Bradford, D. E.; Bublatzky, F.; Busch, N. A.; Clayson, P. E.; Cruse, D.; Czeszumski, A.; Dreber, A.; Dumas, G.; Ehinger, B.; Ganis, G.; He, X.; Hinojosa, J. A.; Huber-Huber, C.; Inzlicht, M.; Jack, B. N.; Johannesson, M.; Jones, R.; Kalenkovich, E.; Kaltwasser, L.; Karimi-Rouzbahani, H.; Keil, A.; König, P.; Kouara, L.; Kulke, L.; Ladouceur, C. D.; Langer, N.; Liesefeld, H. R.; Luque, D.; MacNamara, A.; Mudrik, L.; Muthuraman, M.; Neal, L. B.; Nilsonne, G.; Niso, G.; Ocklenburg, S.; Oostenveld, R.; Pernet, C. R.; Pourtois, G.; Ruzzoli, M.; Sass, S. M.; Schaefer, A.; Senderecka, M.; Snyder, J. S.; Tamnes, C. K.; Tognoli, E.; van Vugt, M. K.; Verona, E.; Vloeberghs, R.; Welke, D.; Wessel, J. R.; Zakharov, I.; Mushtaq, F. |
2023 | Electric Car Market Analysis Using Open Data: Sales, Volatility Assessment, and Forecasting | Pelegov, D. V.; Chanaron, J. -J. |
2021 | Evaluation of the Long-term Effectiveness of Cardiac Resynchronization Therapy | Chumarnaya, T. V.; Lyubimtseva, T. A.; Solodushkin, S. I.; Lebedeva, V. K.; Lebedev, D. S.; Solovieva, O. E. |
2016 | Forecasting Durability and Cyclic Strength of Aluminum Alloy AA2219 Using Fractal Analysis of Acoustic Emission | Sysoev, O. E.; Kolykhalov, D. G.; Kuznetsоv, E. A.; Belykh, S. V. |
2014 | Forecasting the development of regional economy on the basis of input — output tables | Mashunin, Yu. K.; Mashunin, I. A. |
2022 | Forecasting Trends in the Tuberculosis Epidemic Situation in the Region of the Russian Federation by Dynamic Simulation Model | Cherniaev, I. A.; Chernavin, P. F.; Tsvetkov, A. I.; Chugaev, Y. P.; Cherniaeva, U. I.; Chernavin, N. P. |
2021 | A game theory-based approach for modeling autonomous vehicle behavior in congested, urban lane-changing scenarios | Smirnov, N.; Liu, Y.; Validi, A.; Morales-Alvarez, W.; Olaverri-Monreal, C. |
2020 | GDP forecasting on imports | Volna, Ye. S.; Borchaninova, I. P.; Волна, Е. С.; Борчанинова, И. П. |
2023 | Grey Wolf Optimizer for RES Capacity Factor Maximization at the Placement Planning Stage | Bramm, A. M.; Eroshenko, S. A.; Khalyasmaa, A. I.; Matrenin, P. V. |