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dc.contributor.authorDebono, Carl James-
dc.contributor.authorBuhagiar, Julian K.-
dc.date.accessioned2017-02-13T09:33:04Z-
dc.date.available2017-02-13T09:33:04Z-
dc.date.issued2004-
dc.identifier.citationDebono, C. J., & Buhagiar, J. K. (2004). Neural location detection in wireless networks. 7th European Conference on Wireless Technology, Amsterdam. 133-136.en_GB
dc.identifier.isbn1-58053-991-2-
dc.identifier.urihttps://www.um.edu.mt/library/oar//handle/123456789/16531-
dc.description.abstractAn innovative solution towards the implementation of wireless location detection using a modified self-organizing map is presented. The network translates the measured cell data of a radio environment onto a neumn hierarchy that is immune to environmental variations. Simulation results demonstrate the network's ability to locate a mobile station within two meters in 94% of the cases.en_GB
dc.language.isoenen_GB
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_GB
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_GB
dc.subjectNeural networks (Computer science)en_GB
dc.subjectKernel functionsen_GB
dc.subjectWireless communication systemsen_GB
dc.subjectSelf-organizing mapsen_GB
dc.titleNeural location detection in wireless networksen_GB
dc.typeconferenceObjecten_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.bibliographicCitation.conferencename7th European Conference on Wireless Technologyen_GB
dc.bibliographicCitation.conferenceplaceAmsterdam, Netherlands, 11-12/10/2004en_GB
dc.description.reviewedpeer-revieweden_GB
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