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Acoustic individual identification in a species of field cricket using deep learning.

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Title: Acoustic individual identification in a species of field cricket using deep learning.
Authors: Kabuga, Emmanuel1,2, kabuga@aims.ac.za, Nandi, Diptarup3, Burrell, Stuart4, Dlamini, Gciniwe1, Balakrishnan, Rohini5, Bah, Bubacarr2,6, Durbach, Ian1,2,4
Source: Journal of the Acoustical Society of America; Jun2026, Vol. 159 Issue 6, p5288-5299, 12p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 194973325
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Acoustic individual identification in a species of field cricket using deep learning.
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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>; Jun2026, Vol. 159 Issue 6, p5288-5299, 12p
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      – Type: doi
        Value: 10.1121/10.0044100
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      – Code: eng
        Text: English
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        PageCount: 12
        StartPage: 5288
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      – TitleFull: Acoustic individual identification in a species of field cricket using deep learning.
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            NameFull: Kabuga, Emmanuel
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            NameFull: Nandi, Diptarup
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            NameFull: Burrell, Stuart
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            NameFull: Dlamini, Gciniwe
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            NameFull: Balakrishnan, Rohini
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            NameFull: Bah, Bubacarr
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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              Value: 159
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