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Classifier selection for RF based indoor positioning

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dc.contributor.authorGünal, Serkan
dc.contributor.authorSerkan Günal
dc.contributor.authorUğur Yayan
dc.contributor.authorVeli Bayar
dc.contributor.orcid0000-0002-8013-6922
dc.contributor.orcid0000-0002-9691-1575
dc.contributor.orcid0000-0003-1394-5209
dc.date.accessioned2025-11-13T11:24:06Z
dc.date.issued2015-05-01
dc.identifier.doihttps://doi.org/10.1109/siu.2015.7129947
dc.identifier.openalexW2242023454
dc.identifier.urihttps://hdl.handle.net/11421/6670
dc.identifier.urihttps://doi.org/10.1109/siu.2015.7129947
dc.language.isoen
dc.rightsrestrictedAccess
dc.subjectC4.5 algorithm
dc.subjectComputer science
dc.subjectNaive Bayes classifier
dc.subjectDecision tree
dc.subjectArtificial intelligence
dc.subjectClassifier (UML)
dc.subjectPreprocessor
dc.subjectMultilayer perceptron
dc.subjectStatistical classification
dc.subjectIndoor positioning system
dc.subjectPattern recognition (psychology)
dc.subjectMachine learning
dc.subjectData mining
dc.subjectPrincipal component analysis
dc.subjectFeature selection
dc.subjectArtificial neural network
dc.subjectSupport vector machine
dc.subjectAccelerometer
dc.subject.sdg16
dc.titleClassifier selection for RF based indoor positioning
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5003391938

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