Publication:

Investigation of Time-Domain Feature Selection and GMDH Neural Network Application for Determination of Volume Percentages in X-Ray-Based Two-Phase Flow Meters

Date

2023
Journal article
https://doi.org/10.1007/s12647-022-00578-x
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dc.contributor.authorChen, T-C
dc.contributor.authorTaylan, O.
dc.contributor.authorAlizadeh, S. M.
dc.contributor.authorYilmaz, M. T.
dc.contributor.authorNazemi, Ehsan
dc.contributor.authorBalubaid, M.
dc.contributor.authorRoshani, G. H.
dc.contributor.authorKaraboga, D.
dc.contributor.imecauthorNazemi, Ehsan
dc.date.accessioned2023-03-07T10:44:07Z
dc.date.available2022-07-22T02:26:52Z
dc.date.available2023-03-07T10:44:07Z
dc.date.embargo9999-12-31
dc.date.issued2023
dc.description.wosFundingTextThis work was funded by the Deanship of Scientific Research (DSR), King Abdulaziz University, Jeddah, under grant No. (RG-25-135-42). The authors, therefore, gratefully acknowledge the DSR technical and financial support.
dc.identifier.doi10.1007/s12647-022-00578-x
dc.identifier.issn0970-3950
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/40159
dc.publisherMETROLOGY SOC INDIA
dc.source.beginpage119
dc.source.endpage131
dc.source.issuena
dc.source.journalMAPAN-JOURNAL OF METROLOGY SOCIETY OF INDIA
dc.source.numberofpages13
dc.source.volume38
dc.subject.keywordsWILKINSON POWER DIVIDER
dc.subject.keywordsVOID FRACTION MEASUREMENT
dc.subject.keywordsONE DETECTOR
dc.subject.keywordsDESIGN
dc.subject.keywordsREGIME
dc.subject.keywordsATTENUATION
dc.subject.keywordsDENSITY
dc.subject.keywordsIDENTIFICATION
dc.subject.keywordsPREDICTION
dc.subject.keywordsSUBSTANTIATION
dc.title

Investigation of Time-Domain Feature Selection and GMDH Neural Network Application for Determination of Volume Percentages in X-Ray-Based Two-Phase Flow Meters

dc.typeJournal article
dspace.entity.typePublication
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