dc.contributor | Barceló Ordinas, José María |
dc.contributor | García Vidal, Jorge |
dc.contributor.author | Ferrer Cid, Pau |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors |
dc.date.accessioned | 2019-09-30T08:48:15Z |
dc.date.available | 2019-09-30T08:48:15Z |
dc.date.issued | 2019-06 |
dc.identifier.uri | http://hdl.handle.net/2117/168918 |
dc.description.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. |
dc.language.iso | eng |
dc.publisher | Universitat Politècnica de Catalunya |
dc.subject | Àrees temàtiques de la UPC::Informàtica |
dc.subject.lcsh | Machine learning |
dc.subject.lcsh | Detectors |
dc.subject.lcsh | Calibration |
dc.subject.other | Sensors |
dc.subject.other | baix cost |
dc.subject.other | contaminació |
dc.subject.other | fusió de sensors |
dc.subject.other | Low-cost sensors |
dc.subject.other | pollution |
dc.subject.other | sensor fusion |
dc.title | Calibration of low-cost air pollutant sensors using machine learning techniques |
dc.type | Master thesis |
dc.subject.lemac | Aprenentatge automàtic |
dc.subject.lemac | Detectors |
dc.subject.lemac | Calibratge |
dc.identifier.slug | 143249 |
dc.rights.access | Open Access |
dc.date.updated | 2019-07-12T04:01:37Z |
dc.audience.educationlevel | Màster |
dc.audience.mediator | Facultat d'Informàtica de Barcelona |
dc.audience.degree | MÀSTER UNIVERSITARI EN INNOVACIÓ I RECERCA EN INFORMÀTICA (Pla 2012) |