Air Pollution Monitoring and Prediction Using Deep Learning

Singh, Preet Neeraj Kumar, Pawan Kumar, ManojAir pollution is one of the most significant threats to our environment; therefore, it is critical to investigate and monitor air pollution in current context. Moreover, air pollution remains as one of the major causes for environmental change, as well as human illness, and it should not be ignored; instead, it should be redefined by carefully examining its properties and recent modifications. The advanced prediction algorithms like machine learning and deep learning can be used to quantify the changes. Selective LSTM models are used to assess the PM2.5 concentrations present in the atmosphere in order to become connected with numerous estimation methods and discover the one that best accommodates policymakers and directors.