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Отображение результатов 23 до 42 из 116 < назад дальше >

Дата публикации	Название	Авторы
2020	Machine Learning Methods for Predicting the Lattice Characteristics of Materials	Filanovich, A. N.; Povzner, A. A.
2018	Machine learning techniques for short-term solar power stations operational mode planning	Eroshenko, S.; Khalyasmaa, A.; Snegirev, D.
2022	Medium-Term Load Forecasting in Isolated Power Systems Based on Ensemble Machine Learning Models	Matrenin, P.; Safaraliev, M.; Dmitriev, S.; Kokin, S.; Ghulomzoda, A.; Mitrofanov, S.
2014	Methodical Approaches To Analysis And Forecasting Of Development Fuel And Energy Complex And Gas Industry In The Region	Tsybatov, V. A.; Vazhenina, L. V.
2016	A methodological approach to developing the model of correlation between economic development and environmental efficiency on the basis of company's non-financial reports	Bogdanov, V. D.; Ilysheva, N. N.; Baldesku, E. V.; Zakirov, U. Sh.
2022	A Model of the Electronic Structure of a FeRh Alloy Undergoing an Antferromagnetic–Ferromagnetic Phase Transition	Kurkin, M. I.; Telegin, A. V.; Agzamova, P. A.; Bessonov, V. D.; Neznakhin, D. S.; Baranov, N. V.
2020	Modeling and forecasting the parameters of a railroad transport system	Rebrin, O. I.; Zakharov, L. A.; Derksen, L. A.; Eremenko, V. I.
2022	Noise-induced behavioral change driven by transient chaos	Jungeilges, J.; Pavletsov, M.; Perevalova, T.
2018	Nonlinear mean-field dynamo and prediction of solar activity	Safiullin, N.; Kleeorin, N.; Porshnev, S.; Rogachevskii, I.; Ruzmaikin, A.
2019	Observing and forecasting the trajectory of the thrown body with use of genetic programming	Mironov, K.; Gayanov, R.; Kurennov, D.
2018	On the possibility of correction of the forecasting of the Lorenz attractor dynamic characteristics using experimental data and data assimilation	Yulia, T.; Sergey, P.; Nikolai, S.
2020	Possible ways of artificial neural networks application at penitentiary facilities	Sotikova, D. V.; Сотикова, Д. В.
2021	Predicting the Most Deleterious Missense Nonsynonymous Single-Nucleotide Polymorphisms of Hennekam Syndrome-Causing CCBE1 Gene, in Silico Analysis	Shinwari, K.; Guojun, L.; Deryabina, S. S.; Bolkov, M. A.; Tuzankina, I. A.; Chereshnev, V. A.
2023	Prediction and simulation of mechanical properties of borophene-reinforced epoxy nanocomposites using molecular dynamics and FEA	Banerjee, N.; Sen, A.; Ghosh, P. S.; Biswas, A. R.; Sharma, S.; Kumar, A.; Singh, R.; Li, C.; Kaur, J.; Eldin, S. M.
2022	Prediction of Sandstone Dilatancy Point in Different Water Contents Using Infrared Radiation Characteristic: Experimental and Machine Learning Approaches	Ma, L.; Khan, N. M.; Cao, K.; Rehman, H.; Salman, S.; Rehman, F. U.
2023	A Rank Analysis and Ensemble Machine Learning Model for Load Forecasting in the Nodes of the Central Mongolian Power System	Osgonbaatar, T.; Matrenin, P.; Safaraliev, M.; Zicmane, I.; Rusina, A.; Kokin, S.
2015	Russia’s Birth Rate Dynamics Forecasting	Chichkanov, V. P.; Vasilyeva, A. V.; Bystray, G. P.; Okhotnikov, S. A.
2023	Short-Term Solar Insolation Forecasting in Isolated Hybrid Power Systems Using Neural Networks	Matrenin, P.; Manusov, V.; Nazarov, M.; Safaraliev, M.; Kokin, S.; Zicmane, I.; Beryozkina, S.
2018	Solar power generation short-term forecasting model's implementation experience	Kochneva, E.
2018	Solar Power Plant Generation Short-Term Forecasting Model	Eroshenko, S.; Kochneva, E.; Kruchkov, P.; Khalyasmaa, A.

Отображение результатов 23 до 42 из 116 < назад дальше >