Application of Machine Learning for the in-Field Correction of a PM<sub>2.5</sub> Low-Cost Sensor Network
Many low-cost sensors (LCSs) are distributed for air monitoring without any rigorous calibrations. This work applies machine learning with PM<sub>2.5</sub> from Taiwan monitoring stations to conduct in-field corrections on a network of 39 PM<sub>2.5</sub> LCSs from July 2017...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-09-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/20/17/5002 |