Environmental Science | Public Health A new attention-based CNN_GRU model for spatial-temporal PM prediction. August 22, 2024
Data Science | Environmental Science Deep-learning architecture for PM concentration prediction: A review. March 5, 2024
Environmental Science | Public Health Improved prediction of hourly PM concentrations with a long short-term memory and spatio-temporal causal convolutional network deep learning model. November 28, 2023
Environmental Health | Public Health The application of strategy based on LSTM for the short-term prediction of PM in city. October 18, 2023
Air Quality Management | Environmental Science Spatio-temporal fusion of meteorological factors for multi-site PM2.5 prediction: A deep learning and time-variant graph approach. October 5, 2023
Environmental Science | Geospatial Analysis Integrating low-cost sensor monitoring, satellite mapping, and geospatial artificial intelligence for intra-urban air pollution predictions. May 20, 2023
Environmental Science | Meteorology | Public Health Using satellite data on remote transportation of air pollutants for PM2.5 prediction in northern Taiwan. March 10, 2023
Data Science | Environmental Science | Public Health Enhancing PM Prediction Using NARX-Based Combined CNN and LSTM Hybrid Model. June 24, 2022
Data Science | Environmental Science A theory-guided graph networks based PM forecasting method. December 1, 2021
Air Quality Management | Data Science | Environmental Science Attention-based parallel networks (APNet) for PM spatiotemporal prediction. January 23, 2021
Environmental Health | Public Health Deep learning-based PM2.5 prediction considering the spatiotemporal correlations: A case study of Beijing, China. November 7, 2019