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Applying Data Mining and Artificial Intelligence Techniques for High Precision Measuring of the Two-Phase Flow's Characteristics Independent of the Pipe's Scale Layer

 
dc.contributor.authorMayet, Abdulilah Mohammad
dc.contributor.authorSalama, Ahmed S.
dc.contributor.authorAlizadeh, Seyed Mehdi
dc.contributor.authorNesic, Slavko
dc.contributor.authorGuerrero, John William Grimaldo
dc.contributor.authorEftekhari-Zadeh, Ehsan
dc.contributor.authorNazemi, Ehsan
dc.contributor.authorIliyasu, Abdullah M.
dc.contributor.imecauthorNazemi, Ehsan
dc.contributor.orcidextMayet, Abdulilah Mohammad::0000-0001-7739-0105
dc.contributor.orcidextNesic, Slavko::0000-0002-4600-9639
dc.contributor.orcidextGuerrero, John William Grimaldo::0000-0002-1632-5374
dc.contributor.orcidextIliyasu, Abdullah M.::0000-0002-4964-6609
dc.contributor.orcidextEftekhari-Zadeh, Ehsan::0000-0003-1480-1450
dc.contributor.orcidimecNazemi, Ehsan::0000-0001-5457-6943
dc.date.accessioned2023-07-17T14:33:01Z
dc.date.available2023-06-20T10:35:23Z
dc.date.available2023-07-17T14:33:01Z
dc.date.embargo2022-02-03
dc.date.issued2022
dc.description.wosFundingTextWe acknowledge support by the Open Access Publication Fund of the Thueringer Universitaets- und Landesbibliothek Jena; The Deanship of Scientific Research at King Khalid University through General Research Project under grant number (GRP-20-41 /2020); and the Deputyship for Research and Innovation of the Saudi Ministry of Education via its funding for the PSAU Advanced Computational Intelligence & Intelligent Systems Engineering (ACIISE) Research Group Project Number IF-PSAU-2021/01/18316.
dc.identifier.doi10.3390/electronics11030459
dc.identifier.issn2079-9292
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/41887
dc.publisherMDPI
dc.source.beginpageArt. 459
dc.source.endpagena
dc.source.issue3
dc.source.journalELECTRONICS
dc.source.numberofpages14
dc.source.volume11
dc.subject.keywordsWILKINSON POWER DIVIDER
dc.subject.keywordsGAMMA-RAY ATTENUATION
dc.subject.keywordsVOID FRACTION MEASUREMENT
dc.subject.keywordsLIQUID-PHASE DENSITY
dc.subject.keywordsHARMONIC SUPPRESSION
dc.subject.keywordsBANDPASS DIPLEXER
dc.subject.keywordsNEURAL-NETWORKS
dc.subject.keywordsLOWPASS FILTER
dc.subject.keywordsDESIGN
dc.subject.keywordsREGIME
dc.title

Applying Data Mining and Artificial Intelligence Techniques for High Precision Measuring of the Two-Phase Flow's Characteristics Independent of the Pipe's Scale Layer

dc.typeJournal article
dspace.entity.typePublication
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