%0 Journal Article %1 fan2017spatiotemporal %A Fan, Junxiang %A Li, Qi %A Hou, Junxiong %A Feng, Xiao %A Karimian, Hamed %A Lin, Shaofu %D 2017 %I Copernicus GmbH %J ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences %K imported %P 15 %T A spatiotemporal prediction framework for air pollution based on deep RNN %V 4

@article{fan2017spatiotemporal, added-at = {2022-01-19T10:28:11.000+0100}, author = {Fan, Junxiang and Li, Qi and Hou, Junxiong and Feng, Xiao and Karimian, Hamed and Lin, Shaofu}, biburl = {https://www.bibsonomy.org/bibtex/2a719fc45870ae34df073ecf89aee06a2/msteininger}, interhash = {bef7cf320d3f08e3eb503907c48ff97c}, intrahash = {a719fc45870ae34df073ecf89aee06a2}, journal = {ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences}, keywords = {imported}, pages = 15, publisher = {Copernicus GmbH}, timestamp = {2022-01-19T10:28:11.000+0100}, title = {A spatiotemporal prediction framework for air pollution based on deep RNN}, volume = 4, year = 2017 }