Performance of artificial neural networks and linear models to quantify 4 trace gas species in an oil and gas production region with low-cost sensors

[Display omitted] •An increasing number of people live near oil and gas production activities.•Industry related air quality impacts have let to growing public health concerns.•Low-cost sensors may support distributed air quality measurements in these areas.•Sensor field calibration is useful in quan...

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Veröffentlicht in:	Sensors and actuators. B, Chemical Chemical, 2019-03, Vol.283, p.504-514
Hauptverfasser:	Casey, Joanna Gordon, Collier-Oxandale, Ashley, Hannigan, Michael
Format:	Artikel
Sprache:	eng
Schlagworte:	Air quality Artificial neural networks Curvature Field calibration Gas sensors Linear regression models Low cost Low-cost sensors Neural networks Oil and gas production Regression analysis Sensors Trace gases
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