Fruit Fly Detection Based on Wingbeat Sound Using Embedded Artificial Intelligence.

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Title: Fruit Fly Detection Based on Wingbeat Sound Using Embedded Artificial Intelligence.
Authors: Nguyen, Van-Khanh1,2, vankhanh@ctu.edu.vn, Tran, Vy-Khang1, Nguyen, Chi-Ngon3
Source: International Journal of Technology; 2026, Vol. 17 Issue 3, p1012-1030, 19p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 194237670
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Fruit Fly Detection Based on Wingbeat Sound Using Embedded Artificial Intelligence.
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  Data: <searchLink fieldCode="AU" term="%22Nguyen%2C+Van-Khanh%22">Nguyen, Van-Khanh</searchLink><relatesTo>1,2</relatesTo>, <i>vankhanh@ctu.edu.vn</i><br /><searchLink fieldCode="AU" term="%22Tran%2C+Vy-Khang%22">Tran, Vy-Khang</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Nguyen%2C+Chi-Ngon%22">Nguyen, Chi-Ngon</searchLink><relatesTo>3</relatesTo>
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.14716/ijtech.v17i3.8284
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 19
        StartPage: 1012
    Titles:
      – TitleFull: Fruit Fly Detection Based on Wingbeat Sound Using Embedded Artificial Intelligence.
        Type: main
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          Name:
            NameFull: Nguyen, Van-Khanh
      – PersonEntity:
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            NameFull: Tran, Vy-Khang
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            NameFull: Nguyen, Chi-Ngon
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          Dates:
            – D: 01
              M: 05
              Text: 2026
              Type: published
              Y: 2026
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              Value: 17
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              Value: 3
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            – TitleFull: International Journal of Technology
              Type: main
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