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Aqnet adaptive mesh attention framework for spatiotemporal air quality prediction in diverse urban environments

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Published in:JDSA
Format: Online Article RSS Article
Published: 2026
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institution FRELIP
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publishDate 2026
publishDateSort 2026
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spellingShingle Aqnet adaptive mesh attention framework for spatiotemporal air quality prediction in diverse urban environments
Big data and Data science
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display Big data and Data science
Computer Science & IT
Engineering & Technology
Big data and Data science
Computer Science & IT
Engineering & Technology
subject_facet Big data and Data science
Computer Science & IT
Engineering & Technology
title Aqnet adaptive mesh attention framework for spatiotemporal air quality prediction in diverse urban environments
title_auth Aqnet adaptive mesh attention framework for spatiotemporal air quality prediction in diverse urban environments
title_full Aqnet adaptive mesh attention framework for spatiotemporal air quality prediction in diverse urban environments
title_fullStr Aqnet adaptive mesh attention framework for spatiotemporal air quality prediction in diverse urban environments
title_full_unstemmed Aqnet adaptive mesh attention framework for spatiotemporal air quality prediction in diverse urban environments
title_short Aqnet adaptive mesh attention framework for spatiotemporal air quality prediction in diverse urban environments
title_sort aqnet adaptive mesh attention framework for spatiotemporal air quality prediction in diverse urban environments
topic Big data and Data science
Computer Science & IT
Engineering & Technology
url https://link.springer.com/article/10.1007/s41060-025-01005-5