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

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Title:	Calibration of low-cost air pollutant sensors using machine learning techniques
Author:	Ferrer Cid, Pau
Other authors:	Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors; Barceló Ordinas, José María; García Vidal, Jorge
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.
Subject(s):	-Àrees temàtiques de la UPC::Informàtica -Machine learning -Detectors -Calibration -Sensors -baix cost -contaminació -fusió de sensors -Low-cost sensors -pollution -sensor fusion -Aprenentatge automàtic -Detectors -Calibratge
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Document type:	Research/Master Thesis
Published by:	Universitat Politècnica de Catalunya
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