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

Ferrer Cid, Pau

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Ferrer Cid, Pau

Tutor / director / evaluatorBarceló Ordinas, José María

; García Vidal, Jorge

Document typeMaster thesis

Date2019-06

Rights accessOpen Access

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.

SubjectsMachine learning, Detectors, Calibration, Aprenentatge automàtic, Detectors, Calibratge

URIhttp://hdl.handle.net/2117/168918

Collections

Màsters Oficials - Master in Innovation and Research in Informatics - MIRI [230]

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