Predicting air quality in smart city using novel transfer learning based framework

Air quality is a matter of concern these days due to its adverse effect on human health. Multiple new air pollution monitoring and prediction stations are being developed in smart cities tackle the issue. Recent advanced deep learning techniques show excellent performance for predictions but need sufficient training data model performance. The insufficiency issue at station can be resolved using proposed novel transfer learning-based framework predict concentration station. ability significantly enhanced by this effective technology. assessed various Delhi, India.