%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 }