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Comparison of Machine Learning Algorithms for Merging Gridded Satellite and Earth-Observed Precipitation Data.

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Title: Comparison of Machine Learning Algorithms for Merging Gridded Satellite and Earth-Observed Precipitation Data.
Authors: Papacharalampous, Georgia1 (AUTHOR) papacharalampous.georgia@gmail.com, Tyralis, Hristos1 (AUTHOR), Doulamis, Anastasios1 (AUTHOR), Doulamis, Nikolaos1 (AUTHOR)
Source: Water (20734441). Feb2023, Vol. 15 Issue 4, p634. 22p.
Database: Environment Complete
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Header DbId: eih
DbLabel: Environment Complete
An: 162159263
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PubType: Academic Journal
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  Data: Comparison of Machine Learning Algorithms for Merging Gridded Satellite and Earth-Observed Precipitation Data.
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  Data: <searchLink fieldCode="JN" term="%22Water+%2820734441%29%22">Water (20734441)</searchLink>. Feb2023, Vol. 15 Issue 4, p634. 22p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=162159263
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.3390/w15040634
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      – Code: eng
        Text: English
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        PageCount: 22
        StartPage: 634
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      – TitleFull: Comparison of Machine Learning Algorithms for Merging Gridded Satellite and Earth-Observed Precipitation Data.
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            NameFull: Papacharalampous, Georgia
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            NameFull: Tyralis, Hristos
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            NameFull: Doulamis, Anastasios
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              Text: Feb2023
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              Y: 2023
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              Value: 15
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