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Low-Cost Air Quality Sensors: Biases, Corrections and Challenges in Their Comparability
Journal article   Open access   Peer reviewed

Low-Cost Air Quality Sensors: Biases, Corrections and Challenges in Their Comparability

Idris Joseph David Hayward, Nicholas A Martin, Valerio Ferracci, Mohsen Kazemimanesh and Prashant Kumar
Atmosphere, Vol.15(12), 1523
20/12/2024

Abstract

Simpson’s paradox errors artificial neutral net random forest linear regression calibration drift bias optical particle counter electrochemical low-cost air quality sensor
url
https://doi.org/10.3390/atmos15121523View
Published (Version of record)CC BY V4.0 Open

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