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dc.contributor.authorChan, K.
dc.contributor.authorLing, S.
dc.contributor.authorDillon, T.
dc.contributor.authorNguyen, H.
dc.contributor.authorNguyen, T.
dc.contributor.authorPalada, V.
dc.contributor.authorChen, X.
dc.contributor.authorChan, Kit Yan
dc.date.accessioned2018-05-18T08:00:01Z
dc.date.available2018-05-18T08:00:01Z
dc.date.created2018-05-18T00:23:05Z
dc.date.issued2014
dc.identifier.citationChan, K. and Ling, S. and Dillon, T. and Nguyen, H. and Nguyen, T. and Palada, V. and Chen, X. et al. 2014. Special issue on hybrid intelligent methods for health technologies. Applied Soft Computing. 14: pp. 1-3.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/67865
dc.publisherElsevier BV
dc.titleSpecial issue on hybrid intelligent methods for health technologies
dc.typeJournal Article
dcterms.source.volume14
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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