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Machine learning application with Bayesian regularization for predicting pressure drop in R134a's annular evaporation and condensation

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dc.contributor.authorÇolak, Andaç Batur
dc.contributor.authorBacak, Aykut
dc.contributor.authorKarakoyun, Yakup
dc.contributor.authorKoca, Aliihsan
dc.contributor.authorDalkilic, Ahmet Selim
dc.date.accessioned2026-01-26T03:29:28Z
dc.date.issued2025-04-08
dc.description.urihttps://doi.org/10.1007/s40430-025-05527-8
dc.description.urihttps://avesis.yildiz.edu.tr/publication/details/927d96b1-923e-4982-8596-51e40e22085d/oai
dc.description.urihttps://avesis.yyu.edu.tr/publication/details/927d96b1-923e-4982-8596-51e40e22085d/oai
dc.identifier.doi10.1007/s40430-025-05527-8
dc.identifier.eissn1806-3691
dc.identifier.issn1678-5878
dc.identifier.openairedoi_dedup___::d49cf209b768288711ef5996a853823b
dc.identifier.orcid0000-0001-9297-8134
dc.identifier.urihttps://hdl.handle.net/11527/59293
dc.identifier.volume47
dc.language.isoeng
dc.publisherSpringer Science and Business Media LLC
dc.relation.ispartofJournal of the Brazilian Society of Mechanical Sciences and Engineering
dc.rightsCLOSED
dc.titleMachine learning application with Bayesian regularization for predicting pressure drop in R134a's annular evaporation and condensation
dc.typeArticle
dspace.entity.typePublication

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