Please use this identifier to cite or link to this item:
http://hdl.handle.net/2067/42778
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Adnan R.M. | it |
dc.contributor.author | Petroselli, Andrea | it |
dc.contributor.author | Heddam S. | it |
dc.contributor.author | Guimarães Santos C.A. | it |
dc.contributor.author | Kisi O. | it |
dc.date.accessioned | 2021-02-10T08:59:06Z | - |
dc.date.available | 2021-02-10T08:59:06Z | - |
dc.date.issued | 2021 | it |
dc.identifier.issn | 1573-0840 | it |
dc.identifier.uri | http://hdl.handle.net/2067/42778 | - |
dc.format.medium | ELETTRONICO | it |
dc.language.iso | eng | it |
dc.title | Comparison of different methodologies for rainfall-runoff modeling: machine learning vs conceptual approach | it |
dc.type | article | * |
dc.identifier.doi | 10.1007/s11069-020-04438-2 | it |
dc.relation.journal | NATURAL HAZARDS | it |
dc.relation.firstpage | 2987 | it |
dc.relation.lastpage | 3011 | it |
dc.relation.volume | 105 | it |
dc.description.numberofauthors | 5 | it |
dc.description.international | sì | it |
dc.contributor.country | ITA | it |
dc.contributor.country | DZA | it |
dc.contributor.country | BRA | it |
dc.contributor.country | GEO | it |
dc.contributor.country | GEO | it |
dc.contributor.country | VNM | it |
dc.type.referee | REF_1 | it |
dc.type.miur | 262 | it |
item.fulltext | With Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.languageiso639-1 | en | - |
item.grantfulltext | restricted | - |
item.openairetype | article | - |
item.cerifentitytype | Publications | - |
crisitem.journal.journalissn | 1573-0840 | - |
crisitem.journal.ance | E202910 | - |
Appears in Collections: | A1. Articolo in rivista |
Files in This Item:
File | Description | Size | Format | Existing users please |
---|---|---|---|---|
Adnan et al. 2021 Comparison of different methodologies for rainfall–runoff modeling.pdf | 4.49 MB | Adobe PDF | Request a copy |
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