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Fish Detection and Classification for Automatic Sorting System with an Optimized YOLO Algorithm.

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Title: Fish Detection and Classification for Automatic Sorting System with an Optimized YOLO Algorithm.
Authors: Kuswantori, Ari1, 63601247@kmitl.ac.th, Suesut, Taweepol1, taweepol.su@kmitl.ac.thworapong.ta@kmitl.ac.th, Tangsrirat, Worapong1, Schleining, Gerhard2, gerhard.schleining@boku.ac.at, Nunak, Navaphattra3, navaphattra.nu@kmitl.ac.th
Source: Applied Sciences (2076-3417); Mar2023, Vol. 13 Issue 6, p3812, 19p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 162725036
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.3390/app13063812
    Languages:
      – Code: eng
        Text: English
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        PageCount: 19
        StartPage: 3812
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      – TitleFull: Fish Detection and Classification for Automatic Sorting System with an Optimized YOLO Algorithm.
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          Name:
            NameFull: Kuswantori, Ari
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            NameFull: Suesut, Taweepol
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            NameFull: Tangsrirat, Worapong
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            NameFull: Schleining, Gerhard
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            NameFull: Nunak, Navaphattra
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          Dates:
            – D: 15
              M: 03
              Text: Mar2023
              Type: published
              Y: 2023
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              Value: 20763417
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              Value: 13
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              Value: 6
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            – TitleFull: Applied Sciences (2076-3417)
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