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%0 Journal Article
%1 shi2021novel
%A Shi, Guang
%A Leung, Yee
%A Zhang, Jiang She
%A Fung, Tung
%A Du, Fang
%A Zhou, Yu
%D 2021
%I Elsevier
%J Science of The Total Environment
%K air attention forecast lstm quality spatio-temporal
%P 143513
%T A novel method for identifying hotspots and forecasting air quality through an adaptive utilization of spatio-temporal information of multiple factors
%V 759
@article{shi2021novel,
added-at = {2022-05-24T14:20:48.000+0200},
author = {Shi, Guang and Leung, Yee and Zhang, Jiang She and Fung, Tung and Du, Fang and Zhou, Yu},
biburl = {https://www.bibsonomy.org/bibtex/2b748fd4bf7202f645ab76bf34901824c/msteininger},
interhash = {8c114383ecc042328ee6cf995cc3d62d},
intrahash = {b748fd4bf7202f645ab76bf34901824c},
journal = {Science of The Total Environment},
keywords = {air attention forecast lstm quality spatio-temporal},
pages = 143513,
publisher = {Elsevier},
timestamp = {2022-05-24T14:20:48.000+0200},
title = {A novel method for identifying hotspots and forecasting air quality through an adaptive utilization of spatio-temporal information of multiple factors},
volume = 759,
year = 2021
}
