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dc.contributor.authorKim, Jeong-Hwan
dc.contributor.authorHam, Yoo-Geun
dc.contributor.authorKim, Daehyun
dc.contributor.authorLi, Tim
dc.contributor.authorMa, Chen
dc.date.accessioned2024-12-24T15:20:13Z
dc.date.available2024-12-24T15:20:13Z
dc.date.copyright01 Apr. 2024
dc.date.issued2024
dc.identifier.otheraies-AIES-D-23-0052.1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4302192
dc.languageEnglish
dc.publisherAmerican Meteorological Society
dc.titleImprovement in Forecasting Short-Term Tropical Cyclone Intensity Change and Their Rapid Intensification Using Deep Learning
dc.typeJournal Paper
dc.journal.volume3
dc.journal.issue2
dc.journal.titleArtificial Intelligence for the Earth Systems
dc.identifier.doi10.1175/AIES-D-23-0052.1
dc.journal.lastpagee230052
dc.treeArtificial Intelligence for the Earth Systems:;2024:;volume( 003 ):;issue: 002
dc.contenttypeFulltext


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