Applying machine learning for large scale field calibration of low‐cost PM2.5 and PM10 air pollution sensors
Abstract Low‐cost air quality monitoring networks can potentially increase the availability of high‐resolution monitoring to inform analytic and evidence‐informed approaches to better manage air quality. This is particularly relevant in low and middle‐income settings where access to traditional refe...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Wiley
2022-09-01
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| Serie: | Applied AI Letters |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1002/ail2.76 |
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