Development of a Model to Identify Oil Spills Using Supervised Deep Learning for Semantic Segmentation Using DeepLabV3-MobileNetV3.

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Title: Development of a Model to Identify Oil Spills Using Supervised Deep Learning for Semantic Segmentation Using DeepLabV3-MobileNetV3.
Authors: Do, Hoang Dat1 (AUTHOR), Truong, Thanh Hai2 (AUTHOR), Pham, Van Ngo3 (AUTHOR) ngotinphuc@gmail.com, Rowiński, Lech4 (AUTHOR), Hidayat, Rahmat5 (AUTHOR), Nguyen, Thanh Hai6,7 (AUTHOR), Chung, Nghia2 (AUTHOR) huucuong.legtvt65@gmail.com
Source: Polish Maritime Research. Jun2026, Vol. 33 Issue 2, p134-144. 11p.
Database: Environment Complete
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Header DbId: eih
DbLabel: Environment Complete
An: 193589273
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: <searchLink fieldCode="JN" term="%22Polish+Maritime+Research%22">Polish Maritime Research</searchLink>. Jun2026, Vol. 33 Issue 2, p134-144. 11p.
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.2478/pomr-2026-0027
    Languages:
      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 134
    Titles:
      – TitleFull: Development of a Model to Identify Oil Spills Using Supervised Deep Learning for Semantic Segmentation Using DeepLabV3-MobileNetV3.
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            NameFull: Do, Hoang Dat
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            NameFull: Truong, Thanh Hai
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            NameFull: Pham, Van Ngo
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            NameFull: Rowiński, Lech
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            NameFull: Hidayat, Rahmat
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            NameFull: Nguyen, Thanh Hai
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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            – TitleFull: Polish Maritime Research
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