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| dc.contributor.author | Taghizadeh-Mehrjardi, Ruhollah | |
| dc.date.accessioned | 2022-09-05T07:01:17Z | |
| dc.date.available | 2022-09-05T07:01:17Z | |
| dc.date.issued | 2021 | |
| dc.identifier.issn | 1866-7538 | |
| dc.identifier.uri | http://hdl.handle.net/10900/131417 | |
| dc.language.iso | en | de_DE |
| dc.publisher | Springer Heidelberg | de_DE |
| dc.relation.uri | http://dx.doi.org/10.1007/s12517-021-07922-6 | de_DE |
| dc.subject.ddc | 550 | de_DE |
| dc.title | Prediction of river suspended sediment load using machine learning models and geo-morphometric parameters | de_DE |
| dc.type | Article | de_DE |
| utue.quellen.id | 20211125174918_00858 | |
| utue.personen.roh | Asadi, Maryam | |
| utue.personen.roh | Fathzadeh, Ali | |
| utue.personen.roh | Kerry, Ruth | |
| utue.personen.roh | Ebrahimi-Khusfi, Zohre | |
| utue.personen.roh | Taghizadeh-Mehrjardi, Ruhollah | |
| dcterms.isPartOf.ZSTitelID | Arabian Journal of Geosciences | de_DE |
| dcterms.isPartOf.ZS-Issue | Article 1926 | de_DE |
| dcterms.isPartOf.ZS-Volume | 14 | de_DE |
| utue.fakultaet | 07 Mathematisch-Naturwissenschaftliche Fakultät | de_DE |
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