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dc.contributor.authorPayami, Mahsa
dc.contributor.authorChoi, Yunsoo
dc.contributor.authorSalman, Ahmed Khan
dc.contributor.authorMousavinezhad, Seyedali
dc.contributor.authorPark, Jincheol
dc.contributor.authorPouyaei, Arman
dc.date.accessioned2024-12-24T15:23:25Z
dc.date.available2024-12-24T15:23:25Z
dc.date.copyright01 Apr. 2024
dc.date.issued2024
dc.identifier.otheraies-AIES-D-23-0055.1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4302270
dc.languageEnglish
dc.publisherAmerican Meteorological Society
dc.titleA 1D CNN-Based Emulator of CMAQ: Predicting NO2 Concentration over the Most Populated Urban Regions in Texas
dc.typeJournal Paper
dc.journal.volume3
dc.journal.issue2
dc.journal.titleArtificial Intelligence for the Earth Systems
dc.identifier.doi10.1175/AIES-D-23-0055.1
dc.journal.lastpagee230055
dc.treeArtificial Intelligence for the Earth Systems:;2024:;volume( 003 ):;issue: 002
dc.contenttypeFulltext


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