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Journal Articles

A review of machine learning approaches for improving calibration and performance of low-cost air quality sensor networks

Chaohua Yan
Journal: Sensor Review
Sensor Review 1–21.
https://doi.org/10.1108/SR-10-2025-0761
Published: 05 February 2026
... and controversies regarding overfitting, model transferability and the role of ancillary variables. Findings Evidence demonstrates that ML calibration can reduce error metrics by more than 50% and raise correlation with reference monitors to R2 values exceeding 0.8–0.9. For optical...
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Includes: Supplementary data
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