Phuong-Binh Vo

Attention-Enhanced GCN-LSTM with Residual Connections for Robust PM2.5 Forecasting

Predicting PM2.5 concentration is a critical task for public health and urban planning. While deep learning models such as Long Short-Term Memory (LSTM) and Convolutional Neural Network (CNN) have shown promise in capturing temporal dependencies, they often neglect the complex spatial correlations between monitoring st...