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eNauka >  Results >  In search of an optimal in-field calibration method of low-cost gas sensors for ambient air pollutants: Comparison of linear, multilinear and artificial neural network approaches
Title: In search of an optimal in-field calibration method of low-cost gas sensors for ambient air pollutants: Comparison of linear, multilinear and artificial neural network approaches
Authors: Topalović, Dušan  ; Davidović, Miloš D.  ; Jovanović, Maja  ; Bartonova, Alena; Ristovski, Zoran; Jovašević-Stojanović, Milena  
Issue Date: 2019
Publication: Atmospheric Environment
ISSN: 1352-2310 Atmospheric Environment Search Idenfier
1873-2844 Atmospheric Environment Search Idenfier
Type: Article
Collation: vol. 213 str. 640-658
DOI: 10.1016/j.atmosenv.2019.06.028
WoS-ID: 000484870900061
Scopus-ID: 2-s2.0-85068410520
URI: https://vinar.vin.bg.ac.rs/handle/123456789/8372
https://enauka.gov.rs/handle/123456789/453323
Project: Development of sensor-based Citizens' Observatory Community for improving quality of life in cities (EU-308524)
Integralna studija identifikacije regionalnih genetskih faktora rizika i faktora rizika životne sredine za masovne nezarazne bolesti humane populacije u Srbiji - INGEMA_S (RS-41028)
Novi pristup problemima zasnivanja kvantne mehanike sa aspekta primene u kvantnim tehnologijama i interpretacijama signala različitog porekla (RS-171028)
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