Article Versions Notes

Zhang G, Lu H, Dong J, Poslad S, Li R, Zhang X, Rui X. A Framework to Predict High-Resolution Spatiotemporal PM_2.5 Distributions Using a Deep-Learning Model: A Case Study of Shijiazhuang, China. Remote Sensing. 2020; 12(17):2825. https://doi.org/10.3390/rs12172825

Zhang, Guangyuan, Haiyue Lu, Jin Dong, Stefan Poslad, Runkui Li, Xiaoshuai Zhang, and Xiaoping Rui. 2020. "A Framework to Predict High-Resolution Spatiotemporal PM_2.5 Distributions Using a Deep-Learning Model: A Case Study of Shijiazhuang, China" Remote Sensing 12, no. 17: 2825. https://doi.org/10.3390/rs12172825

Zhang, G., Lu, H., Dong, J., Poslad, S., Li, R., Zhang, X., & Rui, X. (2020). A Framework to Predict High-Resolution Spatiotemporal PM_2.5 Distributions Using a Deep-Learning Model: A Case Study of Shijiazhuang, China. Remote Sensing, 12(17), 2825. https://doi.org/10.3390/rs12172825