Reference:Reference-022274: Difference between revisions

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|Year=2024-09
|Year=2024-09
|Journal=Applied Water Science
|Journal=Applied Water Science
|Booktitle=None
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|Volume=14
|Volume=14
|Pages=None
|Pages=
|URL=https://link.springer.com/10.1007/s13201-024-02224-0
|URL=https://link.springer.com/10.1007/s13201-024-02224-0
|DOI=10.1007/s13201-024-02224-0
|DOI=10.1007/s13201-024-02224-0
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Latest revision as of 11:44, 12 November 2024



Author(s) Faramarzpour, Mahtab; Saremi, Ali; Khosrojerdi, Amir; Babazadeh, Hossain;
BibType journalArticle
Title Evaluating machine learning models in predicting GRI drought indicators (case study: Ajabshir area)
Editors
Year 2024-09
Journal Applied Water Science
Booktitle
Volume 14
Pages
URL https://link.springer.com/10.1007/s13201-024-02224-0
DOI 10.1007/s13201-024-02224-0
ISBN
Note Auto downloaded ref at: 2024-09-04


 
Feature reference No
PublicationClusterID 0
MS_PublicationClusterID 0
Semantic_ID 5682125307eed7b84353d664c05a09a74eb1b840
Nr of citations 0
Sort of publication a module application description
Sort of model publication a single module
Is the CSDMS HPC used No
If HPC is used, for what project was it?:
Associated simulation movie if any:


Model(s) discussed: MODFLOW