Applying machine learning for large scale field calibration of low-cost PM 2.5 and PM 10 air pollution sensors (2022)
Attributed to:
Physically-informed probabilistic modelling of air pollution in Kampala using a low cost sensor network
funded by
GCRF
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1002/ail2.76
Publication URI: http://dx.doi.org/10.1002/ail2.76
Type: Journal Article/Review
Parent Publication: Applied AI Letters
Issue: 3