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Accurate prediction of ice surface and bottom boundary based on multi-scale feature fusion network.

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Title: Accurate prediction of ice surface and bottom boundary based on multi-scale feature fusion network.
Authors: Cai, Yiheng1, Wan, Fuxing1, Hu, Shaobin1, Lang, Shinan1, langshinan803@163.com
Source: Applied Intelligence; Nov2022, Vol. 52 Issue 14, p16370-16381, 12p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 160112756
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Accurate prediction of ice surface and bottom boundary based on multi-scale feature fusion network.
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  Data: <searchLink fieldCode="AU" term="%22Cai%2C+Yiheng%22">Cai, Yiheng</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Wan%2C+Fuxing%22">Wan, Fuxing</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Hu%2C+Shaobin%22">Hu, Shaobin</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Lang%2C+Shinan%22">Lang, Shinan</searchLink><relatesTo>1</relatesTo>, <i>langshinan803@163.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Applied+Intelligence%22">Applied Intelligence</searchLink>; Nov2022, Vol. 52 Issue 14, p16370-16381, 12p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=160112756
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s10489-022-03362-1
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 12
        StartPage: 16370
    Titles:
      – TitleFull: Accurate prediction of ice surface and bottom boundary based on multi-scale feature fusion network.
        Type: main
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            NameFull: Cai, Yiheng
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            NameFull: Wan, Fuxing
      – PersonEntity:
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            NameFull: Hu, Shaobin
      – PersonEntity:
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            NameFull: Lang, Shinan
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          Dates:
            – D: 01
              M: 11
              Text: Nov2022
              Type: published
              Y: 2022
          Identifiers:
            – Type: issn-print
              Value: 0924669X
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              Value: 52
            – Type: issue
              Value: 14
          Titles:
            – TitleFull: Applied Intelligence
              Type: main
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