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A comprehensive review of datasets and deep learning techniques for vision in unmanned surface vehicles.

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Bibliographic Details
Title: A comprehensive review of datasets and deep learning techniques for vision in unmanned surface vehicles.
Authors: Trinh, Linh1, Mercelis, Siegfried1, Anwar, Ali1
Source: Ocean Engineering; Aug2025, Vol. 334, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
FullText Text:
  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 185990086
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: A comprehensive review of datasets and deep learning techniques for vision in unmanned surface vehicles.
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  Data: <searchLink fieldCode="JN" term="%22Ocean+Engineering%22">Ocean Engineering</searchLink>; Aug2025, Vol. 334, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=185990086
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.oceaneng.2025.121501
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      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
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      – TitleFull: A comprehensive review of datasets and deep learning techniques for vision in unmanned surface vehicles.
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            – D: 01
              M: 08
              Text: Aug2025
              Type: published
              Y: 2025
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