Open access
Jul 2026
Spatial-Aware Uncertainty Quantification for Low-Cost PM2.5 Sensors: GeoConformal Prediction vs. Monte Carlo Dropout Under Wildfire Distribution Shift
Low-cost air quality sensors can expand PM2.5 monitoring networks but require calibration against regulatory-grade monitors to correct systematic bias towards trustworthy observations. Although interest in predictive uncertainty for air quality estimation has increased, the reliability of uncertainty under spatial spar...
Anusha Srirenganathan Malarvizhi, Kaylee A. Smith, Seren Smith et al.
· Atmosphere · 1 citation