Publication:

Application of Neural Network and Time-Domain Feature Extraction Techniques for Determining Volumetric Percentages and the Type of Two Phase Flow Regimes Independent of Scale Layer Thickness

Date

2022
Journal article
https://doi.org/10.3390/app12031336
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dc.contributor.authorAlanazi, Abdullah K.
dc.contributor.authorAlizadeh, Seyed Mehdi
dc.contributor.authorNurgalieva, Karina Shamilyevna
dc.contributor.authorNesic, Slavko
dc.contributor.authorGrimaldo Guerrero, John William
dc.contributor.authorAbo-Dief, Hala M.
dc.contributor.authorEftekhari-Zadeh, Ehsan
dc.contributor.authorNazemi, Ehsan
dc.contributor.authorNarozhnyy, Igor M.
dc.contributor.imecauthorNazemi, Ehsan
dc.contributor.orcidextAlanazi, Abdullah K.::0000-0002-9221-4385
dc.contributor.orcidextNurgalieva, Karina Shamilyevna::0000-0002-7317-6467
dc.contributor.orcidextNesic, Slavko::0000-0002-4600-9639
dc.contributor.orcidextGrimaldo Guerrero, John William::0000-0002-1632-5374
dc.contributor.orcidextAbo-Dief, Hala M.::0000-0002-1733-7457
dc.contributor.orcidextEftekhari-Zadeh, Ehsan::0000-0003-1480-1450
dc.contributor.orcidimecNazemi, Ehsan::0000-0001-5457-6943
dc.date.accessioned2023-08-03T12:39:10Z
dc.date.available2023-06-20T10:35:42Z
dc.date.available2023-08-03T12:39:10Z
dc.date.embargo2022-01-27
dc.date.issued2022
dc.description.wosFundingTextWe acknowledge support by the Open Access Publication Fund of the Thueringer Universitaets- und Landesbibliothek Jena. This work was supported by the Taif University Researchers Supporting Project grant number (TURSP-2020/266), of Taif University, Taif, Saudi Arabi. This paper has been supported by the RUDN University Strategic Academic Leadership Program. The research was performed at the expense of the subsidy for the state assignment in the field of scientific activity for 2021 No FSRW-2020-0014.
dc.identifier.doi10.3390/app12031336
dc.identifier.issn2076-3417
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/41904
dc.publisherMDPI
dc.source.beginpage1336
dc.source.endpagena
dc.source.issue3
dc.source.journalAPPLIED SCIENCES-BASEL
dc.source.numberofpages13
dc.source.volume12
dc.subject.keywordsGAMMA-RAY ATTENUATION
dc.subject.keywordsVOID FRACTION MEASUREMENT
dc.subject.keywordsWILKINSON POWER DIVIDER
dc.subject.keywordsLIQUID-PHASE DENSITY
dc.subject.keywordsRHEOLOGICAL PROPERTIES
dc.subject.keywordsHARMONIC SUPPRESSION
dc.subject.keywordsDESIGN
dc.subject.keywordsCOMPACT
dc.subject.keywordsPREDICTION
dc.subject.keywordsPETROLEUM
dc.title

Application of Neural Network and Time-Domain Feature Extraction Techniques for Determining Volumetric Percentages and the Type of Two Phase Flow Regimes Independent of Scale Layer Thickness

dc.typeJournal article
dspace.entity.typePublication
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