Physically consistent dual-attention bidirectional long short-term memory for hourly PM2.5 forecasting with atmospheric signal conditioning
This study aims to develop a physically consistent, dual-attention bidirectional Long Short-Term Memory (BiLSTM) framework for accurate hourly forecasting of PM2.5 concentrations in New Taipei City, Taiwan, and to determine whether multi-scale atmospheric signal conditioning and attention-based temporal modelling can i...