Contamination depth prediction in sandy soils using fuzzy rule-based expert system.
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| Title: | Contamination depth prediction in sandy soils using fuzzy rule-based expert system. |
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| Authors: | Alsamia, Shaymaa1, Albedran, Hazim1,2, hazimbedran@gmail.comhazimn.bedran@uokufa.edu.iq, Mahmood, Mohammed Sh.1 |
| Source: | International Review of Applied Sciences & Engineering; 2023, Vol. 14 Issue 1, p87-99, 14p |
| Database: | Applied Science & Technology Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 161859708 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1556/1848.2022.00445 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 87 Titles: – TitleFull: Contamination depth prediction in sandy soils using fuzzy rule-based expert system. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Alsamia, Shaymaa – PersonEntity: Name: NameFull: Albedran, Hazim – PersonEntity: Name: NameFull: Mahmood, Mohammed Sh. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 20620810 Numbering: – Type: volume Value: 14 – Type: issue Value: 1 Titles: – TitleFull: International Review of Applied Sciences & Engineering Type: main |
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