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dc.contributor.authorEsteban, J.
dc.contributor.authorStarr, A.
dc.contributor.authorWilletts, R.
dc.contributor.authorHannah, P.
dc.contributor.authorBryanston-Cross, P.
dc.date.accessioned2008-07-21T13:05:20Z
dc.date.available2008-07-21T13:05:20Z
dc.date.issued2005
dc.identifier.citationEsteban , J , Starr , A , Willetts , R , Hannah , P & Bryanston-Cross , P 2005 , ' A Review of data fusion models and architectures: towards engineering guidelines ' , Neural Computing and Applications , vol. 14 , no. 4 , pp. 273-281 . https://doi.org/10.1007/s00521-004-0463-7
dc.identifier.issn0941-0643
dc.identifier.otherdspace: 2299/2246
dc.identifier.urihttp://hdl.handle.net/2299/2246
dc.description“The original publication is available at www.springerlink.com”. Copyright Springer DOI: 10.1007/s00521-004-0463-7
dc.format.extent211173
dc.language.isoeng
dc.relation.ispartofNeural Computing and Applications
dc.titleA Review of data fusion models and architectures: towards engineering guidelinesen
dc.contributor.institutionSchool of Engineering and Technology
dc.contributor.institutionOffice of the Vice-Chancellor
dc.description.statusPeer reviewed
rioxxterms.versionofrecord10.1007/s00521-004-0463-7
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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