Suma Swamy

Real-Time PM2.5 Forecasting Using Lightweight Ensemble Learning and Temporal Feature Fusion

Accurate and prompt prediction of PM2.5 concentration is crucial to reduce the impacts of air pollution on human health and city ecosystems. In this study, a hybrid ensemble learning model for hourly PM2.5 predictions is proposed, combining advanced data preprocessing, temporal feature engineering, and heterogeneous re...