Author:
Considine Ellen M.,Reid Colleen E.,Ogletree Michael R.,Dye Timothy
Funder
University of Colorado Boulder’s Grand Challenge Initiative
Reference31 articles.
1. Regression methods in the calibration of low-cost sensors for ambient particulate matter measurements;Badura;SN Appl. Sci.,2019
2. Contribution of low-cost sensor measurements to the prediction of PM2.5 levels: a case study in Imperial County, California, USA;Bi;Environ. Res.,2020
3. Distributed, low-cost particulate matter sensing: scenarios, challenges, approaches;Budde,2014
4. Can commercial low-cost sensor platforms contribute to air quality monitoring and exposure estimates?;Castell;Environ. Int.,2017
5. Root mean Square error (RMSE) or mean absolute error (MAE)? – arguments against avoiding RMSE in the literature;Chai;Geosci. Model Dev. (GMD),2014
Cited by
48 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献