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Enhancing streamflow drought prediction: integrating wavelet decomposition with deep learning and quantile regression neural network models
Mohammadi, Babak
SMHI, Research Department, Hydrology.
ORCID iD:
0000-0001-8427-5965
Abdallah, Mohammed
Oucheikh, Rachid
Katipoglu, Okan Mert
Cheraghalizadeh, Majid
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2025 (English)
In:
EARTH SCIENCE INFORMATICS, ISSN 1865-0473, Vol. 18, no 2, article id 232
Article in journal (Refereed) Published
Place, publisher, year, edition, pages
2025. Vol. 18, no 2, article id 232
National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology
Identifiers
URN:
urn:nbn:se:smhi:diva-6710
DOI:
10.1007/s12145-025-01736-w
ISI:
001413337300007
OAI: oai:DiVA.org:smhi-6710
DiVA, id:
diva2:1936563
Available from:
2025-02-11
Created:
2025-02-11
Last updated:
2025-06-12
Bibliographically approved
Open Access in DiVA
Enhancing streamflow drought prediction: integrating wavelet decomposition with deep learning and quantile regression neural network models
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aae0822801ac83286b71337ab2a75238336aaf05d2773e17b6ca06d964831c81ed5e8dcae8dff4fe23b4a3b3c8984477093ce98c979d7a3d09c1b9c39fffc712
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ieee
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