A Hybrid Deep Learning Model for Spotted Buffalo Image Detection and Segmentation Using YOLO, VGGNet, and Canny Edge Detection.

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Title: A Hybrid Deep Learning Model for Spotted Buffalo Image Detection and Segmentation Using YOLO, VGGNet, and Canny Edge Detection.
Authors: Tandililing, Mika1, tandililingm20d@student.unhas.ac.id, Syarif, Syafruddin1, syafruddin.s@eng.unhas.ac.id, Nurtanio, Ingrid1, ingrid@eng.unhas.ac.id, Zainuddin, Zahir1, zahir@eng.unhas.ac.id
Source: Engineering, Technology & Applied Science Research; Jun2026, Vol. 16 Issue 3, p36584-36589, 6p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 195332549
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PubType: Academic Journal
PubTypeId: academicJournal
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=195332549
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.48084/etasr.16396
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      – Code: eng
        Text: English
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        PageCount: 6
        StartPage: 36584
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      – TitleFull: A Hybrid Deep Learning Model for Spotted Buffalo Image Detection and Segmentation Using YOLO, VGGNet, and Canny Edge Detection.
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            NameFull: Tandililing, Mika
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            NameFull: Syarif, Syafruddin
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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