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Deep learning–based frameworks for the detection and classification of soniferous fish.

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Title: Deep learning–based frameworks for the detection and classification of soniferous fish.
Authors: Huang, Ziqi1,2, Ochs, Dominik3,4, Amorim, M. Clara P.5,6, Fonseca, Paulo J.6,7, Goel, Mayank8, Nunes, Nuno Jardim1,2, Vieira, Manuel5, Lopes, Manuel2,3, manuel.lopes@tecnico.ulisboa.pt
Source: Journal of the Acoustical Society of America; Aug2025, Vol. 158 Issue 2, p1060-1071, 12p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 187640907
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Deep learning–based frameworks for the detection and classification of soniferous fish.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+the+Acoustical+Society+of+America%22">Journal of the Acoustical Society of America</searchLink>; Aug2025, Vol. 158 Issue 2, p1060-1071, 12p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=187640907
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1121/10.0038800
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      – Code: eng
        Text: English
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        PageCount: 12
        StartPage: 1060
    Titles:
      – TitleFull: Deep learning–based frameworks for the detection and classification of soniferous fish.
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            NameFull: Huang, Ziqi
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            NameFull: Ochs, Dominik
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            NameFull: Amorim, M. Clara P.
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            NameFull: Fonseca, Paulo J.
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            NameFull: Goel, Mayank
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            NameFull: Nunes, Nuno Jardim
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            NameFull: Vieira, Manuel
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            – D: 01
              M: 08
              Text: Aug2025
              Type: published
              Y: 2025
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              Value: 158
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              Value: 2
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            – TitleFull: Journal of the Acoustical Society of America
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