Enhancing PM2.5 Air Pollution Forecasting with Novel Random Imputation Based on Hybrid RNN-Bidirectional GRU (nRI RNN-BiGRU) Model
The issue of air pollution is critical for both environment and global public health. It is crucial to develop accurate forecasting method to substantially mitigate the adverse health effects of air pollution. Missing data is common in dataset where specific observations or values are not recorded.
