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Variational Autoencoder-Regulated Data Augmentation for Precise Estimation of Organic Pollutants in Water with Deeplearning Neural Network.

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Title: Variational Autoencoder-Regulated Data Augmentation for Precise Estimation of Organic Pollutants in Water with Deeplearning Neural Network.
Authors: Ashiquzzaman, Akm1,2, Kim, Jinsul2, jsworld@jnu.ac.kr, Kim, Chihoon3, k77chihun@jnu.ac.kr
Source: Applied Artificial Intelligence; Dec2025, Vol. 39 Issue 1, p1-12, 12p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 189934111
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PubType: Academic Journal
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  Data: Variational Autoencoder-Regulated Data Augmentation for Precise Estimation of Organic Pollutants in Water with Deeplearning Neural Network.
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  Data: <searchLink fieldCode="AU" term="%22Ashiquzzaman%2C+Akm%22">Ashiquzzaman, Akm</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22Kim%2C+Jinsul%22">Kim, Jinsul</searchLink><relatesTo>2</relatesTo>, <i>jsworld@jnu.ac.kr</i><br /><searchLink fieldCode="AU" term="%22Kim%2C+Chihoon%22">Kim, Chihoon</searchLink><relatesTo>3</relatesTo>, <i>k77chihun@jnu.ac.kr</i>
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  Data: <searchLink fieldCode="JN" term="%22Applied+Artificial+Intelligence%22">Applied Artificial Intelligence</searchLink>; Dec2025, Vol. 39 Issue 1, p1-12, 12p
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1080/08839514.2025.2568609
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      – Code: eng
        Text: English
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        PageCount: 12
        StartPage: 1
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      – TitleFull: Variational Autoencoder-Regulated Data Augmentation for Precise Estimation of Organic Pollutants in Water with Deeplearning Neural Network.
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            NameFull: Ashiquzzaman, Akm
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            NameFull: Kim, Jinsul
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            – D: 01
              M: 12
              Text: Dec2025
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              Y: 2025
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              Value: 39
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            – TitleFull: Applied Artificial Intelligence
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