Forecasting PM2. 5 using hybrid graph convolution-based model considering dynamic wind-field to offer the benefit of spatial interpretability
H Zhou, F Zhang, Z Du, R Liu - Environmental Pollution, 2021 - Elsevier
Air pollution is a complex process and is affected by meteorological conditions and other
chemical components. Numerous studies have demonstrated that data-driven spatio …
chemical components. Numerous studies have demonstrated that data-driven spatio …
Forecasting PM2. 5 using hybrid graph convolution-based model considering dynamic wind-field to offer the benefit of spatial interpretability
H Zhou, F Zhang, Z Du, R Liu - Environmental Pollution, 2021 - hero.epa.gov
Air pollution is a complex process and is affected by meteorological conditions and other
chemical components. Numerous studies have demonstrated that data-driven spatio …
chemical components. Numerous studies have demonstrated that data-driven spatio …
Forecasting PM2. 5 using hybrid graph convolution-based model considering dynamic wind-field to offer the benefit of spatial interpretability
H Zhou, F Zhang, Z Du, R Liu - Environmental Pollution, 2021 - ui.adsabs.harvard.edu
Air pollution is a complex process and is affected by meteorological conditions and other
chemical components. Numerous studies have demonstrated that data-driven spatio …
chemical components. Numerous studies have demonstrated that data-driven spatio …
Forecasting pm2.5 using hybrid graph convolution-based model considering dynamic wind-field to offer the benefit of spatial interpretability.
H Zhou, F Zhang, Z Du, R Liu - 2021 - cabidigitallibrary.org
Air pollution is a complex process and is affected by meteorological conditions and other
chemical components. Numerous studies have demonstrated that data-driven spatio …
chemical components. Numerous studies have demonstrated that data-driven spatio …
Forecasting PM2. 5 using hybrid graph convolution-based model considering dynamic wind-field to offer the benefit of spatial interpretability
H Zhou, F Zhang, Z Du, R Liu - Environmental pollution (Barking … - pubmed.ncbi.nlm.nih.gov
Air pollution is a complex process and is affected by meteorological conditions and other
chemical components. Numerous studies have demonstrated that data-driven spatio …
chemical components. Numerous studies have demonstrated that data-driven spatio …
Forecasting PM2.5 using hybrid graph convolution-based model considering dynamic wind-field to offer the benefit of spatial interpretability.
H Zhou, F Zhang, Z Du, R Liu - Environmental Pollution (Barking …, 2021 - europepmc.org
Air pollution is a complex process and is affected by meteorological conditions and other
chemical components. Numerous studies have demonstrated that data-driven spatio …
chemical components. Numerous studies have demonstrated that data-driven spatio …
Forecasting PM2. 5 using hybrid graph convolution-based model considering dynamic wind-field to offer the benefit of spatial interpretability
H Zhou, F Zhang, Z Du, R Liu - Environmental Pollution (1987), 2021 - inis.iaea.org
[en] Highlights:• The influence of dynamic wind-field is considered by embedding the
diffusion distance into the deep learning-based model.• The hybrid graph convolution-based …
diffusion distance into the deep learning-based model.• The hybrid graph convolution-based …