Estimating the Volumetric Heat Capacity of Soils Using Machine-Learning Models.

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Title: Estimating the Volumetric Heat Capacity of Soils Using Machine-Learning Models.
Authors: Bi, Jun1, bijune@Hotmail.com, Mao, Mengyao2, 202461125014@njtech.edu.cn, Li, Renwei3, lirenwei@xust.edu.cn, Pan, Yuxuan2, 202361225048@njtech.edu.cn, Lin, Gaochao4, gaochao.lin@unsw.edu.au
Source: Journal of Cold Regions Engineering; Mar2026, Vol. 40 Issue 1, p1-10, 10p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 190910758
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Estimating the Volumetric Heat Capacity of Soils Using Machine-Learning Models.
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  Data: <searchLink fieldCode="AU" term="%22Bi%2C+Jun%22">Bi, Jun</searchLink><relatesTo>1</relatesTo>, <i>bijune@Hotmail.com</i><br /><searchLink fieldCode="AU" term="%22Mao%2C+Mengyao%22">Mao, Mengyao</searchLink><relatesTo>2</relatesTo>, <i>202461125014@njtech.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Li%2C+Renwei%22">Li, Renwei</searchLink><relatesTo>3</relatesTo>, <i>lirenwei@xust.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Pan%2C+Yuxuan%22">Pan, Yuxuan</searchLink><relatesTo>2</relatesTo>, <i>202361225048@njtech.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Lin%2C+Gaochao%22">Lin, Gaochao</searchLink><relatesTo>4</relatesTo>, <i>gaochao.lin@unsw.edu.au</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Cold+Regions+Engineering%22">Journal of Cold Regions Engineering</searchLink>; Mar2026, Vol. 40 Issue 1, p1-10, 10p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=190910758
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1061/JCRGEI.CRENG-1028
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      – Code: eng
        Text: English
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        PageCount: 10
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      – TitleFull: Estimating the Volumetric Heat Capacity of Soils Using Machine-Learning Models.
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            NameFull: Bi, Jun
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            NameFull: Mao, Mengyao
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            NameFull: Li, Renwei
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            NameFull: Pan, Yuxuan
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            – D: 01
              M: 03
              Text: Mar2026
              Type: published
              Y: 2026
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