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A novel multi-sensor and multi-topological database for indoor positioning on fingerprint techniques

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dc.contributor.authorGünal, Serkan
dc.contributor.authorAhmet Yazıcı
dc.contributor.authorSerkan Günal
dc.contributor.authorUğur Yayan
dc.contributor.authorFatih Inan
dc.contributor.orcid0000-0002-8013-6922
dc.contributor.orcid0000-0001-5589-2032
dc.contributor.orcid0000-0002-9691-1575
dc.contributor.orcid0000-0003-1394-5209
dc.date.accessioned2025-11-13T10:20:18Z
dc.date.issued2015-09-01
dc.identifier.doihttps://doi.org/10.1109/inista.2015.7276726
dc.identifier.openalexW1611024367
dc.identifier.urihttps://hdl.handle.net/11421/3844
dc.identifier.urihttps://doi.org/10.1109/inista.2015.7276726
dc.language.isoen
dc.rightsrestrictedAccess
dc.subjectRSS
dc.subjectBluetooth
dc.subjectFingerprint (computing)
dc.subjectComputer science
dc.subjectRobustness (evolution)
dc.subjectBluetooth Low Energy
dc.subjectFingerprint recognition
dc.subjectSignal strength
dc.subjectConstruct (python library)
dc.subjectHybrid positioning system
dc.subjectWireless sensor network
dc.subjectPositioning system
dc.subjectReal-time computing
dc.subjectDatabase
dc.subjectWireless
dc.subjectData mining
dc.subjectComputer network
dc.subjectArtificial intelligence
dc.subjectEngineering
dc.subjectTelecommunications
dc.subjectNode (physics)
dc.titleA novel multi-sensor and multi-topological database for indoor positioning on fingerprint techniques
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5003391938

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