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Identification of High-Impact features in the prediction of sewage treatment plant performance.

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Title: Identification of High-Impact features in the prediction of sewage treatment plant performance.
Authors: Liu, Miliang1 (AUTHOR) sdhmlml@163.com, Liu, Qianhui2 (AUTHOR) lqh2001514@126.com
Source: Environment, Development & Sustainability. Feb2026, p1-27. 27p.
Database: Business Source Ultimate
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Header DbId: bsu
DbLabel: Business Source Ultimate
An: 191687346
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Identification of High-Impact features in the prediction of sewage treatment plant performance.
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  Data: <searchLink fieldCode="AR" term="%22Liu%2C+Miliang%22">Liu, Miliang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> sdhmlml@163.com</i><br /><searchLink fieldCode="AR" term="%22Liu%2C+Qianhui%22">Liu, Qianhui</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> lqh2001514@126.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Environment%2C+Development+%26+Sustainability%22">Environment, Development & Sustainability</searchLink>. Feb2026, p1-27. 27p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=191687346
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1007/s10668-026-07359-5
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      – Code: eng
        Text: English
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        PageCount: 27
        StartPage: 1
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      – TitleFull: Identification of High-Impact features in the prediction of sewage treatment plant performance.
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            NameFull: Liu, Miliang
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            NameFull: Liu, Qianhui
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            – D: 20
              M: 02
              Text: Feb2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
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            – TitleFull: Environment, Development & Sustainability
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