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Predicting thermal conductivity of bio-composite materials using machine learning models.

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Title: Predicting thermal conductivity of bio-composite materials using machine learning models.
Authors: Er-Rradi, Hafida1 (AUTHOR) h.er-rradi@enim.ac.ma, Idchabani, Rachida1 (AUTHOR), Sahlaoui, Fatima Zahra2 (AUTHOR), Bojji, Chakib3 (AUTHOR)
Source: Journal of Thermal Analysis & Calorimetry. Jul2026, p1-18. 18p.
Database: Academic Search Ultimate
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Header DbId: asn
DbLabel: Academic Search Ultimate
An: 195116638
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Thermal+Analysis+%26+Calorimetry%22">Journal of Thermal Analysis & Calorimetry</searchLink>. Jul2026, p1-18. 18p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=195116638
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1007/s10973-026-15854-0
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 18
        StartPage: 1
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      – TitleFull: Predicting thermal conductivity of bio-composite materials using machine learning models.
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            NameFull: Er-Rradi, Hafida
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            NameFull: Idchabani, Rachida
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            NameFull: Sahlaoui, Fatima Zahra
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            NameFull: Bojji, Chakib
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          Dates:
            – D: 06
              M: 07
              Text: Jul2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 13886150
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            – TitleFull: Journal of Thermal Analysis & Calorimetry
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