Deep neural network-based prediction of air quality index (AQI) for municipal corporation station, Solapur, Maharashtra State, India
The efficiency of the proposed DNN model is proved, and the comparative analysis with the baseline models, such as Linear Regression and Support Vector Regression, demonstrates that the proposed model is more effective than traditional techniques in identifying nonlinear dependencies in air pollution data.