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. |
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| Authors: | Kabuga E; Centre for Statistics in Ecology, the Environment, and Conservation, University of Cape Town, South Africa.; African Institute for Mathematical Sciences (AIMS South Africa), Cape Town, South Africa., Nandi D; School of Arts and Sciences, Azim Premji University, Bangalore, India., Burrell S; Centre for Research into Ecological and Environmental Modelling, University of Saint Andrews, United Kingdom., Dlamini G; Centre for Statistics in Ecology, the Environment, and Conservation, University of Cape Town, South Africa., Balakrishnan R; Centre for Ecological Sciences, Indian Institute of Science, Bangalore, India., Bah B; African Institute for Mathematical Sciences (AIMS South Africa), Cape Town, South Africa.; Medical Research Council Unit The Gambia at London School of Hygiene and Tropical Medicine, The Gambia., Durbach I; Centre for Statistics in Ecology, the Environment, and Conservation, University of Cape Town, South Africa.; African Institute for Mathematical Sciences (AIMS South Africa), Cape Town, South Africa.; Centre for Research into Ecological and Environmental Modelling, University of Saint Andrews, United Kingdom. |
| Source: | The Journal of the Acoustical Society of America [J Acoust Soc Am] 2026 Jun 01; Vol. 159 (6), pp. 5288-5299. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: American Institute of Physics Country of Publication: United States NLM ID: 7503051 Publication Model: Print Cited Medium: Internet ISSN: 1520-8524 (Electronic) Linking ISSN: 00014966 NLM ISO Abbreviation: J Acoust Soc Am Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42294872 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Acoustic individual identification in a species of field cricket using deep learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Kabuga+E%22">Kabuga E</searchLink>; Centre for Statistics in Ecology, the Environment, and Conservation, University of Cape Town, South Africa.; African Institute for Mathematical Sciences (AIMS South Africa), Cape Town, South Africa.<br /><searchLink fieldCode="AU" term="%22Nandi+D%22">Nandi D</searchLink>; School of Arts and Sciences, Azim Premji University, Bangalore, India.<br /><searchLink fieldCode="AU" term="%22Burrell+S%22">Burrell S</searchLink>; Centre for Research into Ecological and Environmental Modelling, University of Saint Andrews, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Dlamini+G%22">Dlamini G</searchLink>; Centre for Statistics in Ecology, the Environment, and Conservation, University of Cape Town, South Africa.<br /><searchLink fieldCode="AU" term="%22Balakrishnan+R%22">Balakrishnan R</searchLink>; Centre for Ecological Sciences, Indian Institute of Science, Bangalore, India.<br /><searchLink fieldCode="AU" term="%22Bah+B%22">Bah B</searchLink>; African Institute for Mathematical Sciences (AIMS South Africa), Cape Town, South Africa.; Medical Research Council Unit The Gambia at London School of Hygiene and Tropical Medicine, The Gambia.<br /><searchLink fieldCode="AU" term="%22Durbach+I%22">Durbach I</searchLink>; Centre for Statistics in Ecology, the Environment, and Conservation, University of Cape Town, South Africa.; African Institute for Mathematical Sciences (AIMS South Africa), Cape Town, South Africa.; Centre for Research into Ecological and Environmental Modelling, University of Saint Andrews, United Kingdom. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%227503051%22">The Journal of the Acoustical Society of America</searchLink> [J Acoust Soc Am] 2026 Jun 01; Vol. 159 (6), pp. 5288-5299. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22American+Institute+of+Physics%22">American Institute of Physics </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>7503051 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1520-8524 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200014966%22">00014966 </searchLink><i>NLM ISO Abbreviation: </i>J Acoust Soc Am <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42294872 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1121/10.0044100 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 5288 Titles: – TitleFull: Acoustic individual identification in a species of field cricket using deep learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kabuga E – PersonEntity: Name: NameFull: Nandi D – PersonEntity: Name: NameFull: Burrell S – PersonEntity: Name: NameFull: Dlamini G – PersonEntity: Name: NameFull: Balakrishnan R – PersonEntity: Name: NameFull: Bah B – PersonEntity: Name: NameFull: Durbach I IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: 2026 Jun 01 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1520-8524 Numbering: – Type: volume Value: 159 – Type: issue Value: 6 Titles: – TitleFull: The Journal of the Acoustical Society of America Type: main |
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