Prediction of the Void Ratio Parameter in Mineral Tailings Using Gene Expression Programming.
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| Title: | Prediction of the Void Ratio Parameter in Mineral Tailings Using Gene Expression Programming. |
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| Authors: | Heshmati R., Ali Akbar1, Salehzadeh, Hossein1, Shahidi, Mehdi1 |
| Source: | Advances in Civil Engineering; 10/17/2020, p1-12, 12p |
| 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: 146493103 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1155/2020/8838104 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 1 Titles: – TitleFull: Prediction of the Void Ratio Parameter in Mineral Tailings Using Gene Expression Programming. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Heshmati R., Ali Akbar – PersonEntity: Name: NameFull: Salehzadeh, Hossein – PersonEntity: Name: NameFull: Shahidi, Mehdi IsPartOfRelationships: – BibEntity: Dates: – D: 17 M: 10 Text: 10/17/2020 Type: published Y: 2020 Identifiers: – Type: issn-print Value: 16878086 Titles: – TitleFull: Advances in Civil Engineering Type: main |
| ResultId | 1 |