Graph-based neural network model for predicting urban environmental air quality using spatio-temporal data optimization
Air Quality
Environmental protection and the need for accurate pollutant forecasting have become increasingly important as worries about environmental issues and the harmful effects of pollution have grown. Predictive accuracy of air pollutants is generally unsatisfactory due to the fact that conventional...