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Implementing an explored advanced and integrated deep random forest learning-based model to monitor the enhanced landslide susceptibility mapping.

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Title: Implementing an explored advanced and integrated deep random forest learning-based model to monitor the enhanced landslide susceptibility mapping.
Authors: Mao, Yimin1 (AUTHOR) mymlyc@163.com, Qin, He2 (AUTHOR), Yaojun, Shang3 (AUTHOR), Zilong, Huang3 (AUTHOR), Zhaohui, Gao4 (AUTHOR), Decheng, Miao1 (AUTHOR) deansgu@163.com, Kouhdaragh, Mehdi5 (AUTHOR) koohdarag@malekaniau.ac.ir
Source: Natural Hazards. Jul2025, Vol. 121 Issue 13, p15655-15677. 23p.
Database: Environment Complete
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DbLabel: Environment Complete
An: 187093296
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Implementing an explored advanced and integrated deep random forest learning-based model to monitor the enhanced landslide susceptibility mapping.
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  Data: <searchLink fieldCode="JN" term="%22Natural+Hazards%22">Natural Hazards</searchLink>. Jul2025, Vol. 121 Issue 13, p15655-15677. 23p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=187093296
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s11069-025-07415-9
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      – Code: eng
        Text: English
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        PageCount: 23
        StartPage: 15655
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      – TitleFull: Implementing an explored advanced and integrated deep random forest learning-based model to monitor the enhanced landslide susceptibility mapping.
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            NameFull: Mao, Yimin
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            NameFull: Qin, He
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            NameFull: Yaojun, Shang
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            NameFull: Decheng, Miao
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            – D: 20
              M: 07
              Text: Jul2025
              Type: published
              Y: 2025
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            – TitleFull: Natural Hazards
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