BUEVICH, ALEXANDER GENNADIEVICH

Title	Authors	Affiliation of the authors	Issue	Pages	PDF
A hybrid model based on an artificial neural network with a long chain of short-term memory elements and a discrete wavelet transform for predicting surface methane content in the Arctic area	Buevich, A.G., Sergeev, A.P., Shichkin, A.V., Baglaeva, E.M., Subbotina, I.E., Butorova, A.S.	Institute of Industrial Ecology	v13, 3 2023	428-436
Dynamics in the content of greenhouse gases in the surface layer of atmospheric air of the Arctic Island of Bely in the summer period 2015—2017	Subbotina, I.E., Baglaeva, E.M., Buevich, A.G., Sergeev, A.P., Shichkin, A.V.	Institute of Industrial Ecology	v12, 1 2022	68-76
Two-step combined algorithm for improving the accuracy of predicting methane concentration in atmospheric air based on the NARX neural network and subsequent prediction of residuals	Subbotina, I.E., Buevich, A.G., Sergeev, A.P., Shichkin, A.V., Baglaeva, E.M., Remezova, M.S.	Institute of Industrial Ecology, UFU	2 (38) 2020	59-67
Some results of greenhouse gases monitoring in the Arctic region of Russia	Antonov, K.L., Markelov, Y.I., Markelov, Y.I., Buevich, A.G., Medvedev, A.N., Manzhurov, I.L.	Institute of Industrial Ecology	1 (29) 2018	56-67

DOI 10.25283/2223-4594