Published in

European Geosciences Union, Atmospheric Measurement Techniques Discussions, p. 1-36

DOI: 10.5194/amt-2017-260

Links

Tools

Export citation

Search in Google Scholar

Closing the gap on lower cost air quality monitoring: machine learning calibration models to improve low-cost sensor performance

Journal article published in 2017 by Naomi Zimmerman ORCID, Albert A. Presto, Sriniwasa P. N. Kumar, Jason Gu, Aliaksei Hauryliuk, Ellis S. Robinson, Allen L. Robinson ORCID, Ramachandran Subramanian ORCID
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Green circle
Preprint: archiving allowed
Upload
Green circle
Postprint: archiving allowed
Upload
Green circle
Published version: archiving allowed
Upload
Policy details
Data provided by SHERPA/RoMEO