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dc.contributor.authorZhen, Zhiwei
dc.contributor.authorLee, Huikyo
dc.contributor.authorSegovia-Dominguez, Ignacio
dc.contributor.authorHuang, Meichen
dc.contributor.authorChen, Yuzhou
dc.contributor.authorGaray, Michael
dc.contributor.authorCrichton, Daniel
dc.contributor.authorGel, Yulia R.
dc.date.accessioned2024-12-24T15:21:55Z
dc.date.available2024-12-24T15:21:55Z
dc.date.copyright01 Jan. 2024
dc.date.issued2024
dc.identifier.otheraies-AIES-D-23-0040.1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4302237
dc.languageEnglish
dc.publisherAmerican Meteorological Society
dc.titleEnvironmental Justice and Lessons Learned from COVID-19 Outcomes—Uncovering Hidden Patterns with Geometric Deep Learning and New NASA Satellite Data
dc.typeJournal Paper
dc.journal.volume3
dc.journal.issue1
dc.journal.titleArtificial Intelligence for the Earth Systems
dc.identifier.doi10.1175/AIES-D-23-0040.1
dc.journal.lastpagee230040
dc.treeArtificial Intelligence for the Earth Systems:;2024:;volume( 003 ):;issue: 001
dc.contenttypeFulltext


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