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Combination four different ensemble algorithms with the generalized linear model (GLM) for predicting forest fire susceptibility.

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Title: Combination four different ensemble algorithms with the generalized linear model (GLM) for predicting forest fire susceptibility.
Authors: Janizadeh, Saeid1 (AUTHOR), Bateni, Sayed M.1 (AUTHOR), Jun, Changhyun2 (AUTHOR) cjun@cau.ac.kr, Im, Jungho3,4 (AUTHOR), Pai, Hao-Thing5 (AUTHOR), Band, Shahab S.6 (AUTHOR) shamshirbands@yuntech.edu.tw, Mosavi, Amir7,8 (AUTHOR)
Source: Geomatics, Natural Hazards & Risk. Dec2023, Vol. 14 Issue 1, p1-25. 25p.
Database: Environment Complete
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Header DbId: eih
DbLabel: Environment Complete
An: 174880352
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: <searchLink fieldCode="JN" term="%22Geomatics%2C+Natural+Hazards+%26+Risk%22">Geomatics, Natural Hazards & Risk</searchLink>. Dec2023, Vol. 14 Issue 1, p1-25. 25p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=174880352
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/19475705.2023.2206512
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 25
        StartPage: 1
    Titles:
      – TitleFull: Combination four different ensemble algorithms with the generalized linear model (GLM) for predicting forest fire susceptibility.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Janizadeh, Saeid
      – PersonEntity:
          Name:
            NameFull: Bateni, Sayed M.
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          Name:
            NameFull: Jun, Changhyun
      – PersonEntity:
          Name:
            NameFull: Im, Jungho
      – PersonEntity:
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            NameFull: Pai, Hao-Thing
      – PersonEntity:
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            NameFull: Band, Shahab S.
      – PersonEntity:
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            NameFull: Mosavi, Amir
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          Dates:
            – D: 01
              M: 12
              Text: Dec2023
              Type: published
              Y: 2023
          Identifiers:
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              Value: 19475705
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              Value: 14
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Geomatics, Natural Hazards & Risk
              Type: main
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