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
Keywords
Air pollution monitoring, Low-cost sensors, Calibration, Linear regression, Multivariate linear regression, Artificial neural network
Journal
ATMOSPHERIC ENVIRONMENT
Volume 213, Issue -, Pages 640-658
Publisher
Elsevier BV
Online
2019-06-28
DOI
10.1016/j.atmosenv.2019.06.028

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