Jun Ma

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 · 316 citations

Spatiotemporal Correlations, Spatiotemporal Diagnostics, Machine Learning +11

Improving air quality prediction accuracy at larger temporal resolutions using deep learning and transfer learning techniques

Jun Ma, Jack C.P. Cheng, Changqing Lin et al. · Atmospheric Environment · 2019 · 259 citations

Data Augmentation, Pollution Detection, Environmental Monitoring +13

A temporal-spatial interpolation and extrapolation method based on geographic Long Short-Term Memory neural network for PM2.5

Jun Ma, Yuexiong Ding, Jack C.P. Cheng et al. · Journal of Cleaner Production · 2019 · 198 citations

Temporal-spatial Interpolation, Recurrent Neural Network, Extrapolation Method +1

Air quality prediction at new stations using spatially transferred bi-directional long short-term memory network

Jun Ma, Zheng Li, Jack C.P. Cheng et al. · The Science of The Total Environment · 2019 · 179 citations

Meteorology, Pollution Detection, Environmental Monitoring +11

Spatiotemporal Prediction of PM2.5 Concentrations at Different Time Granularities Using IDW-BLSTM

Jun Ma, Yuexiong Ding, Vincent J.L. Gan et al. · IEEE Access · 2019 · 155 citations · Full text

Convolutional Neural Network, Environmental Monitoring, Machine Learning +21