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Intelligent Prediction of Subway Tunnel Settlement: A Novel Approach Using a Hybrid HO-GPR Model.

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Bibliographic Details
Title: Intelligent Prediction of Subway Tunnel Settlement: A Novel Approach Using a Hybrid HO-GPR Model.
Authors: Chai, Jiangming1, Yang, Xinlin1, 107552404502@stu.xju.edu.cn, Deng, Wenbin1
Source: Buildings (2075-5309); Jan2026, Vol. 16 Issue 1, p192, 16p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 190787946
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Intelligent Prediction of Subway Tunnel Settlement: A Novel Approach Using a Hybrid HO-GPR Model.
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  Data: <searchLink fieldCode="JN" term="%22Buildings+%282075-5309%29%22">Buildings (2075-5309)</searchLink>; Jan2026, Vol. 16 Issue 1, p192, 16p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=190787946
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        Value: 10.3390/buildings16010192
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      – Code: eng
        Text: English
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        PageCount: 16
        StartPage: 192
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      – TitleFull: Intelligent Prediction of Subway Tunnel Settlement: A Novel Approach Using a Hybrid HO-GPR Model.
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            NameFull: Chai, Jiangming
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            NameFull: Yang, Xinlin
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              Text: Jan2026
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              Y: 2026
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