dc.contributor.author | Alamoudi, Mohammed | |
dc.contributor.author | Sattari, Mohammad Amir | |
dc.contributor.author | Balubaid, Mohammed | |
dc.contributor.author | Eftekhari-Zadeh, Ehsan | |
dc.contributor.author | Nazemi, Ehsan | |
dc.contributor.author | Taylan, Osman | |
dc.contributor.author | Kalmoun, El Mostafa | |
dc.date.accessioned | 2022-02-10T11:56:47Z | |
dc.date.available | 2021-11-02T15:59:09Z | |
dc.date.available | 2022-02-10T11:56:47Z | |
dc.date.issued | 2021 | |
dc.identifier.issn | 2073-8994 | |
dc.identifier.other | WOS:000676983300001 | |
dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/37741.2 | |
dc.source | WOS | |
dc.title | Application of Gamma Attenuation Technique and Artificial Intelligence to Detect Scale Thickness in Pipelines in Which Two-Phase Flows with Different Flow Regimes and Void Fractions Exist | |
dc.type | Journal article | |
dc.contributor.imecauthor | Nazemi, Ehsan | |
dc.contributor.orcidext | Balubaid, Mohammed::0000-0001-7978-401X | |
dc.contributor.orcidext | Eftekhari-Zadeh, Ehsan::0000-0003-1480-1450 | |
dc.contributor.orcidext | Taylan, Osman::0000-0002-5806-3237 | |
dc.contributor.orcidimec | Nazemi, Ehsan::0000-0001-5457-6943 | |
dc.identifier.doi | 10.3390/sym13071198 | |
dc.source.numberofpages | 16 | |
dc.source.peerreview | yes | |
dc.source.beginpage | 1198 | |
dc.source.journal | SYMMETRY-BASEL | |
dc.source.issue | 7 | |
dc.source.volume | 13 | |
imec.availability | Published - open access | |