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%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
}