A hybrid model for daily air quality index prediction and its performance in the face of impact effect of COVID-19 lockdown
Description
Accurate and dependable air quality forecasting is critical to environmental and human health. However, most methods usually aim to improve overall prediction accuracy but neglect the accuracy for unexpected incidents. In this study, a hybrid model
