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Ensemble deep learning approach for marine vessel classification: Integrating CNN and vision transformers with machinery feature enhancement.

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Title: Ensemble deep learning approach for marine vessel classification: Integrating CNN and vision transformers with machinery feature enhancement.
Authors: Najamuddin1, najamuddin@graduate.utm.my, Sheikh, Usman Ullah1, usman@fke.utm.my, Sha'ameri, Ahmad Zuri1
Source: Information Fusion; Feb2026:Part A, Vol. 126, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 188578669
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Ensemble deep learning approach for marine vessel classification: Integrating CNN and vision transformers with machinery feature enhancement.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=188578669
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.inffus.2025.103570
    Languages:
      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
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      – TitleFull: Ensemble deep learning approach for marine vessel classification: Integrating CNN and vision transformers with machinery feature enhancement.
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            NameFull: Sheikh, Usman Ullah
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            NameFull: Sha'ameri, Ahmad Zuri
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            – D: 01
              M: 02
              Text: Feb2026:Part A
              Type: published
              Y: 2026
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              Value: 126
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