A new hybrid deep neural network for multiple sites PM2.5 forecasting

A hybrid model for spatiotemporal forecasting of PM2.5 based on graph convolutional neural network and long short-term memory

Yanlin Qi, Qi Li, Hamed Karimian et al. · The Science of The Total Environment · 2019 · 595 citations

Computing, Earth Sciences, Meteorology +17

Artificial neural networks forecasting of PM2.5 pollution using air mass trajectory based geographic model and wavelet transformation

Feng Xiao, Qi Li, Yajie Zhu et al. · Atmospheric Environment · 2015 · 564 citations · Full text

Public Health, Environmental Engineering, Environmental Sciences +17

Long short-term memory - Fully connected (LSTM-FC) neural network for PM2.5 concentration prediction

Jiachen Zhao, Fang Deng, Yeyun Cai et al. · Chemosphere · 2018 · 408 citations

Computing, Chemistry, Air Pollution +13

Deep learning-based PM2.5 prediction considering the spatiotemporal correlations: A case study of Beijing, China

Unjin Pak, Jun Ma, Unsok Ryu et al. · The Science of The Total Environment · 2019 · 324 citations

Computing, Computer Science, Earth Sciences +16

Chemical composition of ambient PM _2. 5 over China and relationship to precursor emissions during 2005–2012

Guannan Geng, Qiang Zhang, Dan Tong et al. · Atmospheric chemistry and physics · 2017 · 277 citations · Full text

Natural Sciences, Earth Sciences, Environmental Sciences +17