A new paper in Atmosphere (MDPI) shows that machine learning–based recalibration can significantly improve the accuracy of low-cost air quality sensors.
This is an important step for improving urban air quality monitoring and supporting evidence-based public health decisions.
🔗 The full scientific article is available here:
https://www.mdpi.com/2073-4433/16/12/1358