DEEP LEARNING-DRIVEN PREDICTION OF HAZARDOUS AIR POLLUTANTS FOR ENVIRONMENTAL RISK MITIGATION
Hazardous air pollutants (HAPs) can be a critical risk to the sustainability of the environment and human health, which must be addressed by highly sophisticated predictive models to eliminate risks successfully. In this study, the researcher presents a hybrid deep learning model that combines Convolutional Neural Networks (CNNs) with the ability t...
By K. Muralisankar, G. Balaji, C. Ramkumar, M. Vasuki, S. Vijayananthan, D. Angayarkanni, Mohammed Aslam, M. Narmatha