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Дата публикацииНазваниеАвторы
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.
2023Grey Wolf Optimizer for RES Capacity Factor Maximization at the Placement Planning StageBramm, A. M.; Eroshenko, S. A.; Khalyasmaa, A. I.; Matrenin, P. V.
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.
2022An Intelligent Logic-Based Mold Breakout Prediction System Algorithm for the Continuous Casting Process of Steel: A Novel StudyAnsari, M. O.; Ghose, J.; Chattopadhyaya, S.; Ghosh, D.; Sharma, S.; Sharma, P.; Kumar, A.; Li, C.; Singh, R.; Eldin, S. M.
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.
2022A Model of the Electronic Structure of a FeRh Alloy Undergoing an Antferromagnetic–Ferromagnetic Phase TransitionKurkin, M. I.; Telegin, A. V.; Agzamova, P. A.; Bessonov, V. D.; Neznakhin, D. S.; Baranov, N. V.
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.
2019Observing and forecasting the trajectory of the thrown body with use of genetic programmingMironov, K.; Gayanov, R.; Kurennov, D.
2018On the possibility of correction of the forecasting of the Lorenz attractor dynamic characteristics using experimental data and data assimilationYulia, T.; Sergey, P.; Nikolai, S.
2020Possible ways of artificial neural networks application at penitentiary facilitiesSotikova, D. V.; Сотикова, Д. В.
2021Predicting the Most Deleterious Missense Nonsynonymous Single-Nucleotide Polymorphisms of Hennekam Syndrome-Causing CCBE1 Gene, in Silico AnalysisShinwari, K.; Guojun, L.; Deryabina, S. S.; Bolkov, M. A.; Tuzankina, I. A.; Chereshnev, V. A.