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Showing results 1 to 20 of 96  next >
Issue DateTitleAuthor(s)
2022Adaptive Ensemble Models for Medium-Term Forecasting of Water Inflow When Planning Electricity Generation under Climate ChangeMatrenin, P.; Safaraliev, M.; Dmitriev, S.; Kokin, S.; Eshchanov, B.; Rusina, A.
2020Application of methods of machine learning to forecasting the motion of stock indicesLokshtein, D.; Kovaleva, A.G.; Локштейн, Д. А.; Ковалева, А. Г.
2015An approach to the analysis of Strategic Development Trend in the electricity production regarding the energy sector framework: The Ukrainian and Spanish casesSihua, V.; Calvo-Silvosa, A.; Starodumov, I.
2016Definition of conditionally permanent part of current liabilities of a bankVozhzhov, A. P.; Lunyakov,O. V.; Lunyakova, N. A.
2021#EEGManyLabs: Investigating the Replicability of Influential EEG ExperimentsPavlov, 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.
2021Evaluation of the Long-term Effectiveness of Cardiac Resynchronization TherapyChumarnaya, T. V.; Lyubimtseva, T. A.; Solodushkin, S. I.; Lebedeva, V. K.; Lebedev, D. S.; Solovieva, O. E.
2016Forecasting Durability and Cyclic Strength of Aluminum Alloy AA2219 Using Fractal Analysis of Acoustic EmissionSysoev, O. E.; Kolykhalov, D. G.; Kuznetsоv, E. A.; Belykh, S. V.
2021A game theory-based approach for modeling autonomous vehicle behavior in congested, urban lane-changing scenariosSmirnov, N.; Liu, Y.; Validi, A.; Morales-Alvarez, W.; Olaverri-Monreal, C.
2020GDP forecasting on importsVolna, Ye. S.; Borchaninova, I. P.; Волна, Е. С.; Борчанинова, И. П.
2018Imitation forecast of railway system operation in a macroregionDobrodey, V. V.; Gitelman, L. D.; Kozhevnikov, M. V.; Matushkina, N. A.
2020Industry experience of developing day-ahead photovoltaic plant forecasting system based on machine learningKhalyasmaa, A. I.; Eroshenko, S. A.; Tashchilin, V. A.; Ramachandran, H.; Chakravarthi, T. P.; Butusov, D. N.
2020Information-analytical assessment systems for perinatal outcomes and children's health status born by assisted reproductive technologiesKovtun, O. P.; Plaxina, A. N.; Makutina, V. A.; Ankudinov, N. O.; Zilber, N. A.; Limanovskay, O. V.; Sinotova, S. L.
2016An Integral Evaluation of the Financial State of the Regional EnterprisesKurdzhiev, S. P.; Mambetova, A. A.; Peshkova, E. P.
2020Machine Learning Methods for Predicting the Lattice Characteristics of MaterialsFilanovich, A. N.; Povzner, A. A.
2018Machine learning techniques for short-term solar power stations operational mode planningEroshenko, S.; Khalyasmaa, A.; Snegirev, D.
2022Medium-Term Load Forecasting in Isolated Power Systems Based on Ensemble Machine Learning ModelsMatrenin, P.; Safaraliev, M.; Dmitriev, S.; Kokin, S.; Ghulomzoda, A.; Mitrofanov, S.
2016A methodological approach to developing the model of correlation between economic development and environmental efficiency on the basis of company's non-financial reportsBogdanov, V. D.; Ilysheva, N. N.; Baldesku, E. V.; Zakirov, U. Sh.
2020Modeling and forecasting the parameters of a railroad transport systemRebrin, O. I.; Zakharov, L. A.; Derksen, L. A.; Eremenko, V. I.
2022Noise-induced behavioral change driven by transient chaosJungeilges, J.; Pavletsov, M.; Perevalova, T.
2018Nonlinear mean-field dynamo and prediction of solar activitySafiullin, N.; Kleeorin, N.; Porshnev, S.; Rogachevskii, I.; Ruzmaikin, A.