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    Emulating Rainfall–Runoff-Inundation Model Using Deep Neural Network with Dimensionality Reduction

    Source: Artificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 001
    Author:
    Momoi, Masahiro
    ,
    Kotsuki, Shunji
    ,
    Kikuchi, Ryota
    ,
    Watanabe, Satoshi
    ,
    Yamada, Masafumi
    ,
    Abe, Shiori
    DOI: 10.1175/AIES-D-22-0036.1
    Publisher: American Meteorological Society
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      Emulating Rainfall–Runoff-Inundation Model Using Deep Neural Network with Dimensionality Reduction

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4302314
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    • Artificial Intelligence for the Earth Systems

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    contributor authorMomoi, Masahiro
    contributor authorKotsuki, Shunji
    contributor authorKikuchi, Ryota
    contributor authorWatanabe, Satoshi
    contributor authorYamada, Masafumi
    contributor authorAbe, Shiori
    date accessioned2024-12-24T15:25:00Z
    date available2024-12-24T15:25:00Z
    date copyright01 Jan. 2023
    date issued2023
    identifier otheraies-AIES-D-22-0036.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4302314
    languageEnglish
    publisherAmerican Meteorological Society
    titleEmulating Rainfall–Runoff-Inundation Model Using Deep Neural Network with Dimensionality Reduction
    typeJournal Paper
    journal volume2
    journal issue1
    journal titleArtificial Intelligence for the Earth Systems
    identifier doi10.1175/AIES-D-22-0036.1
    journal lastpagee220036
    treeArtificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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