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Enhancing Karst Spring Discharge Simulation Through a Hybrid XGBoost–BiLSTM Machine Learning Framework.

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Title: Enhancing Karst Spring Discharge Simulation Through a Hybrid XGBoost–BiLSTM Machine Learning Framework.
Authors: Eid, Mohamed Hamdy1,2 (AUTHOR), Kovács, Attila1,2 (AUTHOR) attila.geo.kovacs@gmail.com, Szűcs, Péter1 (AUTHOR)
Source: Water (20734441). May2026, Vol. 18 Issue 9, p1038. 42p.
Database: Environment Complete
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An: 193716329
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PubType: Academic Journal
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  Data: Enhancing Karst Spring Discharge Simulation Through a Hybrid XGBoost–BiLSTM Machine Learning Framework.
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  Data: <searchLink fieldCode="JN" term="%22Water+%2820734441%29%22">Water (20734441)</searchLink>. May2026, Vol. 18 Issue 9, p1038. 42p.
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.3390/w18091038
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      – Code: eng
        Text: English
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        PageCount: 42
        StartPage: 1038
    Titles:
      – TitleFull: Enhancing Karst Spring Discharge Simulation Through a Hybrid XGBoost–BiLSTM Machine Learning Framework.
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            NameFull: Eid, Mohamed Hamdy
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            NameFull: Kovács, Attila
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            NameFull: Szűcs, Péter
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            – D: 01
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              Text: May2026
              Type: published
              Y: 2026
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              Value: 18
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              Value: 9
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