Advancing river streamflow prediction with convolutional Kolmogorov-Arnold network: a comprehensive comparison against machine learning and deep learning models

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dc.contributor.authorGharehbaghı, Amın
dc.contributor.authorHeddam Salim
dc.contributor.authorMehdizadeh Saeid
dc.contributor.authorKim Sungwon
dc.date.accessioned2026-10-15T04:01:15Z
dc.date.issued2026
dc.descriptionSCI-Expanded | Uluslararası | Özgün Makale | YÖK-Özgeçmiş
dc.identifier.doi10.1080/19942060.2026.2643817
dc.identifier.issn1994-2060
dc.identifier.urihttps://hdl.handle.net/20.500.11782/10105
dc.relation.ispartofEngineering Applications of Computational Fluid Mechanics
dc.relation.urihttps://doi.org/10.1080/19942060.2026.2643817
dc.titleAdvancing river streamflow prediction with convolutional Kolmogorov-Arnold network: a comprehensive comparison against machine learning and deep learning models
dc.typeArticle
dspace.entity.typePublication
hku.portal.eseriddoi:10.1080/19942060.2026.2643817
hku.yoksis.yayinid10407074
oaire.citation.volume20
relation.isAuthorOfPublication3312a927-98e9-4b15-bef8-c847ea99661b
relation.isAuthorOfPublication.latestForDiscovery3312a927-98e9-4b15-bef8-c847ea99661b

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