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The use of machine learning in orthotropic materials classification via modal analysis

dc.contributor.authorAbdelkader, Mohamed Abdelkader Fawzy
dc.date.accessioned2023-09-18T20:44:30Z
dc.date.available2023-09-18T20:44:30Z
dc.date.issued2021
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/152239
dc.format.extentp. 221
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.source.urihttp://www.openreadings.eu/wp-content/uploads/2021/03/Abstract_book_2021S.pdf
dc.titleThe use of machine learning in orthotropic materials classification via modal analysis
dc.typeKonferencijos pranešimo santrauka / Conference presentation abstract
dcterms.references0
dc.type.pubtypeT2 - Konferencijos pranešimo tezės / Conference presentation abstract
dc.contributor.institutionVilniaus Gedimino technikos universitetas Technical University of Liberec, Liberec Valstybinis mokslinių tyrimų institutas Fizinių ir technologijos mokslų centras
dc.contributor.facultyVilniaus Gedimino technikos universitetas / Vilniaus Gedimino technikos universitetas
dc.subject.researchfieldT 008 - Medžiagų inžinerija / Material engineering
dc.subject.enorthotropic materials
dc.subject.enmodal
dc.subject.enmachine
dcterms.sourcetitleOpen readings 2021 : 64th international conference for students of physics and natural sciences, March 16-29, 2021, Vilnius, Lithuania : abstract book
dc.publisher.nameVilnius University Press
dc.publisher.cityVilnius
dc.identifier.elaba95781819


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