Application of random forest regression in modeling the adsorption of methylene blue onto clays.
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| Title: | Application of random forest regression in modeling the adsorption of methylene blue onto clays. |
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| Authors: | Aguiar, Leandro G.1, leandroaguiar@usp.br, Kasemodel, Mariana C.1 |
| Source: | Neural Computing & Applications; Jun2026, Vol. 38 Issue 12, p1-16, 16p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 194652011 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=aci&AN=194652011 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00521-026-12200-1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 1 Titles: – TitleFull: Application of random forest regression in modeling the adsorption of methylene blue onto clays. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Aguiar, Leandro G. – PersonEntity: Name: NameFull: Kasemodel, Mariana C. IsPartOfRelationships: – BibEntity: Dates: – D: 21 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 09410643 Numbering: – Type: volume Value: 38 – Type: issue Value: 12 Titles: – TitleFull: Neural Computing & Applications Type: main |
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