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CLASSIFICATION OF EKG SIGNALS USING ROUGH SETS THEORY

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dc.contributor.authorTelçeken, Sedat
dc.contributor.authorÇekіk, Rasim
dc.contributor.orcid0000-0002-0558-2180
dc.contributor.orcid0000-0002-7820-413X
dc.date.accessioned2025-11-13T11:38:28Z
dc.date.issued2015-05-05
dc.identifier.doihttps://doi.org/10.18038/btd-a.13841
dc.identifier.endpage125
dc.identifier.issn2146-0205
dc.identifier.issue2
dc.identifier.openalexW1938050347
dc.identifier.startpage125
dc.identifier.urihttps://hdl.handle.net/11421/7465
dc.identifier.urihttps://doi.org/10.18038/btd-a.13841
dc.identifier.volume15
dc.language.isoen
dc.relation.ispartofAnadolu University journal of science and technology- a - applied sciences and engineering :
dc.rightsopenAccess
dc.subjectRough set
dc.subjectPattern recognition (psychology)
dc.subjectArtificial intelligence
dc.subjectComputer science
dc.titleCLASSIFICATION OF EKG SIGNALS USING ROUGH SETS THEORY
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5021000298
local.authorid.openalexA5054093788

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