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dc.contributor.authorLing, S.
dc.contributor.authorChan, Kit Yan
dc.contributor.authorPalade, V.
dc.contributor.authorDillon, T.
dc.contributor.authorNguyen, H.
dc.contributor.authorNguyen, T.
dc.contributor.authorChen, X.
dc.date.accessioned2017-01-30T11:22:35Z
dc.date.available2017-01-30T11:22:35Z
dc.date.created2016-02-02T19:30:22Z
dc.date.issued2014
dc.identifier.citationLing, S. and Chan, K.Y. and Palade, V. and Dillon, T. and Nguyen, H. and Nguyen, T. and Chen, X. 2014. Special issue on hybrid intelligent methods for health technologies [Editorial]. Applied Soft Computing. 20: pp. 1-3.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/11047
dc.identifier.doi10.1016/j.asoc.2014.04.033
dc.publisherELSEVIER SCIENCE BV
dc.titleSpecial issue on hybrid intelligent methods for health technologies
dc.typeJournal Article
dcterms.source.volume20
dcterms.source.startPage1
dcterms.source.endPage3
dcterms.source.issn1568-4946
dcterms.source.titleAPPLIED SOFT COMPUTING
curtin.departmentDepartment of Electrical and Computer Engineering
curtin.accessStatusFulltext not available


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