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Prediction of extraction uranium concentration and optimization of injection acid concentration using a CNN–GRU–attention model in in-situ uranium leaching.

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Title: Prediction of extraction uranium concentration and optimization of injection acid concentration using a CNN–GRU–attention model in in-situ uranium leaching.
Authors: Wei, Zhenhua1,2 (AUTHOR) zhhwei@ecut.edu.cn, Wang, Long2 (AUTHOR), Liu, Zhifeng1,2 (AUTHOR), Zhou, Yipeng3 (AUTHOR)
Source: Journal of Analytical Science & Technology. 2/24/2026, Vol. 17 Issue 1, p1-17. 17p.
Database: Academic Search Ultimate
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DbLabel: Academic Search Ultimate
An: 191837497
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  Data: Prediction of extraction uranium concentration and optimization of injection acid concentration using a CNN–GRU–attention model in in-situ uranium leaching.
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  Data: <searchLink fieldCode="AR" term="%22Wei%2C+Zhenhua%22">Wei, Zhenhua</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> zhhwei@ecut.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Wang%2C+Long%22">Wang, Long</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Zhifeng%22">Liu, Zhifeng</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhou%2C+Yipeng%22">Zhou, Yipeng</searchLink><relatesTo>3</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Analytical+Science+%26+Technology%22">Journal of Analytical Science & Technology</searchLink>. 2/24/2026, Vol. 17 Issue 1, p1-17. 17p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=191837497
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1186/s40543-025-00526-9
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      – Code: eng
        Text: English
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        PageCount: 17
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      – TitleFull: Prediction of extraction uranium concentration and optimization of injection acid concentration using a CNN–GRU–attention model in in-situ uranium leaching.
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            NameFull: Wei, Zhenhua
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            NameFull: Wang, Long
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            NameFull: Liu, Zhifeng
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              Text: 2/24/2026
              Type: published
              Y: 2026
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              Value: 17
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