dc.contributor.author | Mehrjou, Arash | |
dc.date.accessioned | 2021-08-18T13:56:45Z | |
dc.date.available | 2021-08-18T13:56:45Z | |
dc.date.issued | 2021 | |
dc.identifier.issn | 1570-6478 | |
dc.identifier.uri | http://hdl.handle.net/10900/118001 | |
dc.language.iso | en | en |
dc.publisher | Springer | de_DE |
dc.relation.uri | http://dx.doi.org/10.1007/s12053-021-09931-6 | |
dc.subject.ddc | 600 | de_DE |
dc.subject.ddc | 550 | de_DE |
dc.subject.ddc | 570 | de_DE |
dc.subject.ddc | 540 | de_DE |
dc.title | Enhancing the resolution of the angular orientations of the flow controlling blades on a sustainable house by training an artificial neural network | de_DE |
dc.type | Article | de_DE |
utue.quellen.id | 20210512015105_01004 | |
utue.personen.roh | Amini, Kasra | |
utue.personen.roh | Mehrjou, Arash | |
utue.personen.roh | Mani, Mahmoud | |
dcterms.isPartOf.ZSTitelID | Energy Efficiency | de_DE |
dcterms.isPartOf.ZS-Issue | Article 25 | de_DE |
dcterms.isPartOf.ZS-Volume | 14 | de_DE |
utue.fakultaet | Sonstige |
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