A Bayesian‐Optimized GRU Network With WMD‐EFAST Self‐Organizing Mechanism for Multimodal Atmospheric Pollutant Prediction
Atmospheric pollutant concentration prediction is a critical component of environmental governance. Deep learning‐based methods now dominate this prediction field, yet current deep learning models still face several challenges: inefficient hyperparameter optimization leading to high training costs, static network str...