Standard
Harvard
Nagovitsyna, E, Luzhetskaya, A, Poddubny, V, Shchelkanov, A & Gadelshin, V 2021,
Machine learning approach for the ground level aerosol concentration analysis. в GG Matvienko & OA Romanovskii (ред.),
27th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics., 119163X, Proceedings of SPIE - The International Society for Optical Engineering, Том. 11916, SPIE, 27th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics 2021, Moscow, Российская Федерация,
05/07/2021.
https://doi.org/10.1117/12.2603435
APA
Nagovitsyna, E., Luzhetskaya, A., Poddubny, V., Shchelkanov, A., & Gadelshin, V. (2021).
Machine learning approach for the ground level aerosol concentration analysis. в G. G. Matvienko, & O. A. Romanovskii (Ред.),
27th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics [119163X] (Proceedings of SPIE - The International Society for Optical Engineering; Том 11916). SPIE.
https://doi.org/10.1117/12.2603435
Vancouver
Author
BibTeX
@inproceedings{8bc23313496d4ca182e41366e09bad3a,
title = "Machine learning approach for the ground level aerosol concentration analysis",
keywords = "atmospheric aerosol, particulate matter, random forest algorithm",
author = "Ekaterina Nagovitsyna and Anna Luzhetskaya and Vassily Poddubny and Aleksey Shchelkanov and Vadim Gadelshin",
note = "Publisher Copyright: {\textcopyright} 2021 SPIE.; 27th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics 2021 ; Conference date: 05-07-2021 Through 09-07-2021",
year = "2021",
doi = "10.1117/12.2603435",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Matvienko, {Gennadii G.} and Romanovskii, {Oleg A.}",
booktitle = "27th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics",
address = "United States",
}
RIS
TY - GEN
T1 - Machine learning approach for the ground level aerosol concentration analysis
AU - Nagovitsyna, Ekaterina
AU - Luzhetskaya, Anna
AU - Poddubny, Vassily
AU - Shchelkanov, Aleksey
AU - Gadelshin, Vadim
N1 - Publisher Copyright:
© 2021 SPIE.
PY - 2021
Y1 - 2021
KW - atmospheric aerosol
KW - particulate matter
KW - random forest algorithm
UR - http://www.scopus.com/inward/record.url?scp=85124695963&partnerID=8YFLogxK
UR - https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=tsmetrics&SrcApp=tsm_test&DestApp=WOS_CPL&DestLinkType=FullRecord&KeyUT=000797340000140
U2 - 10.1117/12.2603435
DO - 10.1117/12.2603435
M3 - Conference contribution
AN - SCOPUS:85124695963
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - 27th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics
A2 - Matvienko, Gennadii G.
A2 - Romanovskii, Oleg A.
PB - SPIE
T2 - 27th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics 2021
Y2 - 5 July 2021 through 9 July 2021
ER -
