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Predicting terrestrial heat flow in Egypt using random forest regression: a machine learning approach.

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Title: Predicting terrestrial heat flow in Egypt using random forest regression: a machine learning approach.
Authors: Bekhit, Ahmed Mohamed1 (AUTHOR) ahmed.m.bekhit@alexu.edu.eg, Sobh, Mohamed2,3 (AUTHOR) mohamed.sobh@leibniz-liag.de, Abdel Zaher, Mohamed3 (AUTHOR) moh_zaher@nriag.sci.eg, Abdel Fattah, Tharwat1 (AUTHOR) tfattah_15@hotmail.com, Diab, Ahmed I.1 (AUTHOR) ahmed.diab@alexu.edu.eg
Source: Geothermal Energy. 4/24/2025, Vol. 13 Issue 1, p1-31. 31p.
Database: Environment Complete
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Header DbId: eih
DbLabel: Environment Complete
An: 184706430
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PubType: Academic Journal
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  Data: Predicting terrestrial heat flow in Egypt using random forest regression: a machine learning approach.
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  Data: <searchLink fieldCode="JN" term="%22Geothermal+Energy%22">Geothermal Energy</searchLink>. 4/24/2025, Vol. 13 Issue 1, p1-31. 31p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=184706430
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1186/s40517-025-00341-w
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      – Code: eng
        Text: English
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        PageCount: 31
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      – TitleFull: Predicting terrestrial heat flow in Egypt using random forest regression: a machine learning approach.
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            NameFull: Bekhit, Ahmed Mohamed
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            NameFull: Sobh, Mohamed
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              M: 04
              Text: 4/24/2025
              Type: published
              Y: 2025
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