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A comprehensive literature mining and machine learning to decipher and predict effects of concrete materials on concrete corrosion of sewer pipe.

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Title: A comprehensive literature mining and machine learning to decipher and predict effects of concrete materials on concrete corrosion of sewer pipe.
Authors: Wang, Wenhao1 (AUTHOR), Cao, Jingguo1 (AUTHOR) cjg@tust.edu.cn, Zeng, Ming2 (AUTHOR) ming.zeng@tust.edu.cn, Qiao, Yongxiang3 (AUTHOR)
Source: Urban Water Journal. Jul2024, Vol. 21 Issue 6, p727-744. 18p.
Database: Academic Search Ultimate
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An: 178068219
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  Data: A comprehensive literature mining and machine learning to decipher and predict effects of concrete materials on concrete corrosion of sewer pipe.
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  Data: <searchLink fieldCode="AR" term="%22Wang%2C+Wenhao%22">Wang, Wenhao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cao%2C+Jingguo%22">Cao, Jingguo</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> cjg@tust.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Zeng%2C+Ming%22">Zeng, Ming</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> ming.zeng@tust.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Qiao%2C+Yongxiang%22">Qiao, Yongxiang</searchLink><relatesTo>3</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Urban+Water+Journal%22">Urban Water Journal</searchLink>. Jul2024, Vol. 21 Issue 6, p727-744. 18p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=178068219
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1080/1573062X.2024.2352599
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      – Code: eng
        Text: English
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        PageCount: 18
        StartPage: 727
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      – TitleFull: A comprehensive literature mining and machine learning to decipher and predict effects of concrete materials on concrete corrosion of sewer pipe.
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            NameFull: Wang, Wenhao
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            NameFull: Cao, Jingguo
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            NameFull: Zeng, Ming
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              Text: Jul2024
              Type: published
              Y: 2024
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              Value: 21
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