Author:
Wang Wenle,Cheng Lei,Duan He,Li Fengyun,Hou Bingbing
Publisher
Springer Nature Singapore
Reference12 articles.
1. Liao, Q., Zhu, M., Wu, L., et al.: Deep learning for air quality forecasts: a review. Curr. Pollut. Rep. 6, 399–409 (2020)
2. Lu, E.H.C., Liu, C.Y.: A spatial-temporal approach for air quality forecast in urban areas. Appl. Sci. 11(11), 4971 (2021)
3. Guo, C., Liu, G., Chen, C.H.: Air pollution concentration forecast method based on the deep ensemble neural network. Wireless Commun. Mob. Comput. 2020, 1–13 (2020)
4. Luo, J., Gong Y.: Air pollutant prediction based on ARIMA-WOA-LSTM model. Atmos. Pollut. Res., 101761
5. Bonelli, M.G., Cerasa, M., Guerriero, E., et al.: Analysis of ambient air PM10-bound pollutants surrounding an industrial site and their prediction using artificial neural network. Front. Environ. Sci., 995
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献