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dc.contributor.convenorDickson Lukoseen_AU
dc.contributor.authorDarcy, Peteren_US
dc.contributor.authorStantic, Belaen_US
dc.contributor.authorSattar, Abdulen_US
dc.contributor.editorPatricia Anthony, Tan Yew Seng & Dickson Lukoseen_US
dc.date.accessioned2017-04-24T08:20:04Z
dc.date.available2017-04-24T08:20:04Z
dc.date.issued2009en_US
dc.date.modified2010-07-09T07:52:47Z
dc.identifier.refurihttp://www.mimos.my/mjcai2009/index.htmlen_AU
dc.identifier.urihttp://hdl.handle.net/10072/31950
dc.description.abstractThe alluring promise of a system that would effortlessly identify a mass of objects has been the goal of all research towards Radio Frequency Identification. Unfortunately, in reality, several problems such as missed readings hinder RFID from being as globally utilised as it should be. In this investigation, we present a /emph{Deferred Bayesian Network} solution that has obtained its network configuration through means of /emph{Genetic Algorithm} training. From this research, we have found the optimal amount of chromosomes required to ensure the highest possible result. Additionally, we have compared our methodology with that of a static bayesian network from previous research and have discovered that our trained algorithm yields a cleaner data set result.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherStake Serier MIMOS BERHADen_US
dc.publisher.placeKulala Lumpur, Malaysiaen_US
dc.publisher.urihttp://www.mimos.my/mjcai2009/index.htmlen_AU
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofconferencenameFirst Malaysian Joint Conference on Artificial Intelligenceen_US
dc.relation.ispartofconferencetitleProceedings of the First Malaysian Joint Conference on Artificial Intelligence (MJCAI 2009)en_US
dc.relation.ispartofdatefrom2009-07-14en_US
dc.relation.ispartofdateto2009-07-16en_US
dc.relation.ispartoflocationKulala Lumpur, Malaysiaen_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchDatabase Managementen_US
dc.subject.fieldofresearchcode080604en_US
dc.titleAugmenting a Deferred Bayesian Network with a Genetic Algorithm to Correct Missed RFID Readingsen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.facultyGriffith Sciences, School of Information and Communication Technologyen_US
gro.date.issued2009
gro.hasfulltextNo Full Text


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    Contains papers delivered by Griffith authors at national and international conferences.

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