Machine learning approach for the ground level aerosol concentration analysis

Standard

Machine learning approach for the ground level aerosol concentration analysis. / Nagovitsyna, Ekaterina ; Luzhetskaya, Anna ; Poddubny, Vassily et al.
27th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics. ed. / Gennadii G. Matvienko; Oleg A. Romanovskii. SPIE, 2021. 119163X (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11916).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Harvard

Nagovitsyna, E , Luzhetskaya, A , Poddubny, V , Shchelkanov, A & Gadelshin, V 2021, Machine learning approach for the ground level aerosol concentration analysis. in GG Matvienko & OA Romanovskii (eds), 27th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics., 119163X, Proceedings of SPIE - The International Society for Optical Engineering, vol. 11916, SPIE, 27th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics 2021, Moscow, Russian Federation, 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. In G. G. Matvienko, & O. A. Romanovskii (Eds.), 27th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics [119163X] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11916). SPIE. https://doi.org/10.1117/12.2603435

Vancouver

Nagovitsyna E , Luzhetskaya A , Poddubny V , Shchelkanov A , Gadelshin V. Machine learning approach for the ground level aerosol concentration analysis. In Matvienko GG, Romanovskii OA, editors, 27th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics. SPIE. 2021. 119163X. (Proceedings of SPIE - The International Society for Optical Engineering). doi: 10.1117/12.2603435

Author

Nagovitsyna, Ekaterina ; Luzhetskaya, Anna ; Poddubny, Vassily et al. / Machine learning approach for the ground level aerosol concentration analysis. 27th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics. editor / Gennadii G. Matvienko ; Oleg A. Romanovskii. SPIE, 2021. (Proceedings of SPIE - The International Society for Optical Engineering).

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

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 -

ID: 29636781