Calibration of low-cost air pollutant sensors using machine learning techniques
Document typeMaster thesis
Rights accessOpen Access
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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)