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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.accessioned2018-05-18T07:58:33Z
dc.date.available2018-05-18T07:58:33Z
dc.date.created2018-05-18T00:23:05Z
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. Applied Soft Computing. 20: pp. 1-3.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/67454
dc.publisherElsevier 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.departmentSchool of Electrical Engineering, Computing and Mathematical Science (EECMS)
curtin.accessStatusFulltext not available


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