Runze Li

Assessing the effectiveness of long short-term memory and artificial neural network in predicting daily ozone concentrations in Liaocheng City

A Hybrid Wavelet-Based Deep Learning Model for Accurate Prediction of Daily Surface PM2.5 Concentrations in Guangzhou City

Ground-Level NO₂Surveillance from Space Across China for High Resolution Using Interpretable Spatiotemporally Weighted Artificial Intelligence

Himawari-8-derived diurnal variations in ground-level PM _2.5 pollution across China using the fast space-time Light Gradient Boosting Machine (LightGBM)