Calibration of low-cost air pollutant sensors using machine learning techniques

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hdl:2117/168918
Document typeMaster thesis
Date2019-06
Rights accessOpen Access
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Abstract
Nowadays concern about air pollution has risen due to the effects of the climate change.The application of machine learning methods for the calibration of low-cost sensors is studied. The short-term, long-term, sensor fusion and training set size needed are analyzed. Thus,considering real scenarios.
DegreeMÀSTER UNIVERSITARI EN INNOVACIÓ I RECERCA EN INFORMÀTICA (Pla 2012)
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