Sewage and Location Detection with Improved Cycle Generative Adversarial Network-Based Augmented Datasets and YOLOv5-BiFC.

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Title: Sewage and Location Detection with Improved Cycle Generative Adversarial Network-Based Augmented Datasets and YOLOv5-BiFC.
Authors: Wang, Minkai1,2, 18232022977@163.com, Li, Chenglin1,2, lcllichenglin@163.com, Jiang, Yunzhong3,4, lark@iwhr.com, Yang, Mingxiang3,4, yangmx@iwhr.com
Source: Applied Sciences (2076-3417); Nov2024, Vol. 14 Issue 21, p9932, 22p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 180782945
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  Data: Sewage and Location Detection with Improved Cycle Generative Adversarial Network-Based Augmented Datasets and YOLOv5-BiFC.
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  Data: <searchLink fieldCode="AU" term="%22Wang%2C+Minkai%22">Wang, Minkai</searchLink><relatesTo>1,2</relatesTo>, <i>18232022977@163.com</i><br /><searchLink fieldCode="AU" term="%22Li%2C+Chenglin%22">Li, Chenglin</searchLink><relatesTo>1,2</relatesTo>, <i>lcllichenglin@163.com</i><br /><searchLink fieldCode="AU" term="%22Jiang%2C+Yunzhong%22">Jiang, Yunzhong</searchLink><relatesTo>3,4</relatesTo>, <i>lark@iwhr.com</i><br /><searchLink fieldCode="AU" term="%22Yang%2C+Mingxiang%22">Yang, Mingxiang</searchLink><relatesTo>3,4</relatesTo>, <i>yangmx@iwhr.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Applied+Sciences+%282076-3417%29%22">Applied Sciences (2076-3417)</searchLink>; Nov2024, Vol. 14 Issue 21, p9932, 22p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=180782945
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.3390/app14219932
    Languages:
      – Code: eng
        Text: English
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        PageCount: 22
        StartPage: 9932
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      – TitleFull: Sewage and Location Detection with Improved Cycle Generative Adversarial Network-Based Augmented Datasets and YOLOv5-BiFC.
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            NameFull: Wang, Minkai
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            NameFull: Li, Chenglin
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            NameFull: Jiang, Yunzhong
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            – D: 01
              M: 11
              Text: Nov2024
              Type: published
              Y: 2024
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              Value: 20763417
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              Value: 14
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              Value: 21
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