Explainable Machine Learning for Next-Hour Prediction Using Three Meteorological Variables and Historical PM2.5 Data
Ambient fine particulate matter (PM2.5) remains one of the most consequential urban air-quality hazards, yet forecasting its next-hour concentration accurately and transparently remains challenging owing to the non-linear, multivariate nature of pollutant-meteorology interactions and the black-box character of high-per...