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    Environmental Justice and Lessons Learned from COVID-19 Outcomes—Uncovering Hidden Patterns with Geometric Deep Learning and New NASA Satellite Data

    Source: Artificial Intelligence for the Earth Systems:;2024:;volume( 003 ):;issue: 001
    Author:
    Zhen, Zhiwei
    ,
    Lee, Huikyo
    ,
    Segovia-Dominguez, Ignacio
    ,
    Huang, Meichen
    ,
    Chen, Yuzhou
    ,
    Garay, Michael
    ,
    Crichton, Daniel
    ,
    Gel, Yulia R.
    DOI: 10.1175/AIES-D-23-0040.1
    Publisher: American Meteorological Society
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      Environmental Justice and Lessons Learned from COVID-19 Outcomes—Uncovering Hidden Patterns with Geometric Deep Learning and New NASA Satellite Data

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4302237
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    contributor authorZhen, Zhiwei
    contributor authorLee, Huikyo
    contributor authorSegovia-Dominguez, Ignacio
    contributor authorHuang, Meichen
    contributor authorChen, Yuzhou
    contributor authorGaray, Michael
    contributor authorCrichton, Daniel
    contributor authorGel, Yulia R.
    date accessioned2024-12-24T15:21:55Z
    date available2024-12-24T15:21:55Z
    date copyright01 Jan. 2024
    date issued2024
    identifier otheraies-AIES-D-23-0040.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4302237
    languageEnglish
    publisherAmerican Meteorological Society
    titleEnvironmental Justice and Lessons Learned from COVID-19 Outcomes—Uncovering Hidden Patterns with Geometric Deep Learning and New NASA Satellite Data
    typeJournal Paper
    journal volume3
    journal issue1
    journal titleArtificial Intelligence for the Earth Systems
    identifier doi10.1175/AIES-D-23-0040.1
    journal lastpagee230040
    treeArtificial Intelligence for the Earth Systems:;2024:;volume( 003 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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