A variance-based, BIC-penalized variable selection method identifies influential interferents in sensor calibration and improves pollutant prediction in simulated and outdoor carbon nanotube sensor settings.
In situ calibration algorithms for environmental sensor networks: A review.IEEE Sensors Journal, 19(15):5968–5978, 2019
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Variance-based variable selection in sensor calibration with strong interferents -- application to air pollution monitoring with a carbon nanotube sensor array
A variance-based, BIC-penalized variable selection method identifies influential interferents in sensor calibration and improves pollutant prediction in simulated and outdoor carbon nanotube sensor settings.