A review of feature selection methods for actual evapotranspiration prediction.
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| Title: | A review of feature selection methods for actual evapotranspiration prediction. |
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| Authors: | Liyew, Chalachew Muluken1,2, chalachewsweet@gmail.com, Ferraris, Stefano3, stefano.ferraris@unito.it, Di Nardo, Elvira4, elvira.dinardo@unito.it, Meo, Rosa1, rosa.meo@unito.it |
| Source: | Artificial Intelligence Review; Oct2025, Vol. 58 Issue 10, p1-37, 37p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 186469686 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A review of feature selection methods for actual evapotranspiration prediction. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Liyew%2C+Chalachew+Muluken%22">Liyew, Chalachew Muluken</searchLink><relatesTo>1,2</relatesTo>, <i>chalachewsweet@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Ferraris%2C+Stefano%22">Ferraris, Stefano</searchLink><relatesTo>3</relatesTo>, <i>stefano.ferraris@unito.it</i><br /><searchLink fieldCode="AU" term="%22Di+Nardo%2C+Elvira%22">Di Nardo, Elvira</searchLink><relatesTo>4</relatesTo>, <i>elvira.dinardo@unito.it</i><br /><searchLink fieldCode="AU" term="%22Meo%2C+Rosa%22">Meo, Rosa</searchLink><relatesTo>1</relatesTo>, <i>rosa.meo@unito.it</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Artificial+Intelligence+Review%22">Artificial Intelligence Review</searchLink>; Oct2025, Vol. 58 Issue 10, p1-37, 37p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=186469686 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10462-025-11298-4 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 37 StartPage: 1 Titles: – TitleFull: A review of feature selection methods for actual evapotranspiration prediction. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Liyew, Chalachew Muluken – PersonEntity: Name: NameFull: Ferraris, Stefano – PersonEntity: Name: NameFull: Di Nardo, Elvira – PersonEntity: Name: NameFull: Meo, Rosa IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 02692821 Numbering: – Type: volume Value: 58 – Type: issue Value: 10 Titles: – TitleFull: Artificial Intelligence Review Type: main |
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