12 citations as recorded by crossref.

1. Applying machine learning for large scale field calibration of low‐cost PM2.5 and PM10 air pollution sensors P. Adong et al. 10.1002/ail2.76
2. A machine learning methodology for the generation of a parameterization of the hydroxyl radical D. Anderson et al. 10.5194/gmd-15-6341-2022
3. Calibration methodology of low-cost sensors for high-quality monitoring of fine particulate matter M. Aix et al. 10.1016/j.scitotenv.2023.164063
4. Low-Cost Formaldehyde Sensor Evaluation and Calibration in a Controlled Environment A. Chattopadhyay et al. 10.1109/JSEN.2022.3172864
5. Sampling Trade-Offs in Duty-Cycled Systems for Air Quality Low-Cost Sensors P. Ferrer-Cid et al. 10.3390/s22103964
6. Bayesian Sensor Calibration of a CMOS-Integrated Hall Sensor Against Thermomechanical Cross-Sensitivities M. Berger et al. 10.1109/JSEN.2023.3243783
7. Response of stratospheric water vapour to warming constrained by satellite observations P. Nowack et al. 10.1038/s41561-023-01183-6
8. A machine learning approach to quantify meteorological drivers of ozone pollution in China from 2015 to 2019 X. Weng et al. 10.5194/acp-22-8385-2022
9. Temporal Pattern-Based Denoising and Calibration for Low-Cost Sensors in IoT Monitoring Platforms X. Allka et al. 10.1109/TIM.2023.3239626
10. Application of Gaussian Mixture Regression for the Correction of Low Cost PM2.5 Monitoring Data in Accra, Ghana C. McFarlane et al. 10.1021/acsearthspacechem.1c00217
11. Low-Cost Sensor Performance Intercomparison, Correction Factor Development, and 2+ Years of Ambient PM2.5 Monitoring in Accra, Ghana G. Raheja et al. 10.1021/acs.est.2c09264
12. A Network of Field-Calibrated Low-Cost Sensor Measurements of PM2.5 in Lomé, Togo, Over One to Two Years G. Raheja et al. 10.1021/acsearthspacechem.1c00391