A comparative analysis of feature selection models for spatial analysis of floods using hybrid metaheuristic and machine learning models.
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| Title: | A comparative analysis of feature selection models for spatial analysis of floods using hybrid metaheuristic and machine learning models. |
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| Authors: | Sarwar, Javeria1,2 (AUTHOR), Khan, Saud Ahmed1 (AUTHOR), Azmat, Muhammad3 (AUTHOR), Khan, Faridoon4 (AUTHOR) faridoon.khan@au.edu.pk |
| Source: | Environmental Science & Pollution Research. May2024, Vol. 31 Issue 23, p33495-33514. 20p. |
| Database: | Environment Complete |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: eih DbLabel: Environment Complete An: 177598547 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=177598547 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11356-024-33389-5 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 33495 Titles: – TitleFull: A comparative analysis of feature selection models for spatial analysis of floods using hybrid metaheuristic and machine learning models. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sarwar, Javeria – PersonEntity: Name: NameFull: Khan, Saud Ahmed – PersonEntity: Name: NameFull: Azmat, Muhammad – PersonEntity: Name: NameFull: Khan, Faridoon IsPartOfRelationships: – BibEntity: Dates: – D: 11 M: 05 Text: May2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 09441344 Numbering: – Type: volume Value: 31 – Type: issue Value: 23 Titles: – TitleFull: Environmental Science & Pollution Research Type: main |
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