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Predicting Thermophysical Property of Aluminum Oxide/Ethylene Glycol-Water Nanofluid: A Machine Learning Approach.

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Title: Predicting Thermophysical Property of Aluminum Oxide/Ethylene Glycol-Water Nanofluid: A Machine Learning Approach.
Authors: Kulal, Suvarna1, Al-Kiyumi, Omar2, Al-Rashdi, Tariq2, Moolya, Shivananda2, shivananda@utas.edu.om, Al-Hashmi, Yahya2
Source: Journal of Heat & Mass Transfer Research; Nov2025, Vol. 12 Issue 2, p335-344, 10p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 190660246
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Predicting Thermophysical Property of Aluminum Oxide/Ethylene Glycol-Water Nanofluid: A Machine Learning Approach.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Heat+%26+Mass+Transfer+Research%22">Journal of Heat & Mass Transfer Research</searchLink>; Nov2025, Vol. 12 Issue 2, p335-344, 10p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=190660246
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.22075/JHMTR.2025.36805.1680
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      – Code: eng
        Text: English
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        PageCount: 10
        StartPage: 335
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      – TitleFull: Predicting Thermophysical Property of Aluminum Oxide/Ethylene Glycol-Water Nanofluid: A Machine Learning Approach.
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            NameFull: Kulal, Suvarna
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            NameFull: Al-Kiyumi, Omar
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            NameFull: Al-Rashdi, Tariq
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            NameFull: Moolya, Shivananda
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            NameFull: Al-Hashmi, Yahya
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            – D: 01
              M: 11
              Text: Nov2025
              Type: published
              Y: 2025
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              Value: 12
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