Polynomial regression of multiple sensing variables for high-performance smartphone colorimeter

Rani, S Biswas, PC Hossain, MA Islam, MR Canning, J

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Field	Value	Language
dc.contributor.author	Rani, S
dc.contributor.author	Biswas, PC
dc.contributor.author	Hossain, MA
dc.contributor.author	Islam, MR
dc.contributor.author	Canning, J https://orcid.org/0000-0001-8281-7783
dc.date.accessioned	2021-05-07T03:58:36Z
dc.date.available	2021-05-07T03:58:36Z
dc.date.issued	2021-02-15
dc.identifier.citation	OSA Continuum, 2021, 4, (2), pp. 374-374
dc.identifier.issn	2578-7519
dc.identifier.issn	2578-7519
dc.identifier.uri	http://hdl.handle.net/10453/148780
dc.language	en
dc.publisher	The Optical Society
dc.relation.ispartof	OSA Continuum
dc.relation.isbasedon	10.1364/osac.417889
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	Polynomial regression of multiple sensing variables for high-performance smartphone colorimeter
dc.type	Journal Article
utslib.citation.volume	4
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2022-02-15T00:00:00+1000Z
dc.date.updated	2021-05-07T03:58:35Z
pubs.issue	2
pubs.publication-status	Published
pubs.volume	4
utslib.citation.issue	2

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