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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/journals/eaai/DaiAAASHKST23>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/As%27ad_Alizadeh>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Azher_M._Abed>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Davood_Toghraie>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Ghassan_Fadhil_Smaisim>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Hamad_Karem_Hadrawi>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Hamid_Taheri_Andani>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Mahmoud_Shamsborhan>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Maryam_Karimi>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Xiaohong_Dai>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1016%2Fj.engappai.2023.106107>
foaf:homepage <https://doi.org/10.1016/j.engappai.2023.106107>
dc:identifier DBLP journals/eaai/DaiAAASHKST23 (xsd:string)
dc:identifier DOI doi.org%2F10.1016%2Fj.engappai.2023.106107 (xsd:string)
dcterms:issued 2023 (xsd:gYear)
swrc:journal <https://dblp.l3s.de/d2r/resource/journals/eaai>
rdfs:label Using Gaussian Process Regression (GPR) models with the Matérn covariance function to predict the dynamic viscosity and torque of SiO2/Ethylene glycol nanofluid: A machine learning approach. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/As%27ad_Alizadeh>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Azher_M._Abed>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Davood_Toghraie>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Ghassan_Fadhil_Smaisim>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Hamad_Karem_Hadrawi>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Hamid_Taheri_Andani>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Mahmoud_Shamsborhan>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Maryam_Karimi>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Xiaohong_Dai>
swrc:pages 106107 (xsd:string)
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/journals/eaai/DaiAAASHKST23/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/journals/eaai/DaiAAASHKST23>
rdfs:seeAlso <http://dblp.uni-trier.de/db/journals/eaai/eaai122.html#DaiAAASHKST23>
rdfs:seeAlso <https://doi.org/10.1016/j.engappai.2023.106107>
dc:title Using Gaussian Process Regression (GPR) models with the Matérn covariance function to predict the dynamic viscosity and torque of SiO2/Ethylene glycol nanofluid: A machine learning approach. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:Article
rdf:type foaf:Document
swrc:volume 122 (xsd:string)