Multiple Nonlinear Regression-Based Adaptive Colour Model for Smartphone Colorimeter

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

Multiple Nonlinear Regression-Based Adaptive Colour Model for Smartphone Colorimeter

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

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Publisher:: OSA
Publication Type:: Conference Proceeding
Citation:: 2020 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2020 - Proceedings, 2020, 00, pp. 1-2
Issue Date:: 2020-08-01

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Field	Value	Language
dc.contributor.author	Rani, S
dc.contributor.author	Hossain, MA
dc.contributor.author	Biswas, PC
dc.contributor.author	Islam, MR
dc.contributor.author	Canning, J https://orcid.org/0000-0001-8281-7783
dc.date	2020
dc.date.accessioned	2021-05-07T03:40:15Z
dc.date.available	2021-05-07T03:40:15Z
dc.date.issued	2020-08-01
dc.identifier.citation	2020 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2020 - Proceedings, 2020, 00, pp. 1-2
dc.identifier.isbn	9780646825045
dc.identifier.uri	http://hdl.handle.net/10453/148777
dc.description.abstract	A self-contained smartphone-based colorimetric sensing platform adaptable for multiple analytes is demonstrated. Concurrent variation of multiple optical sensing parameters is addressed using multiple nonlinear regression analysis.
dc.language	en
dc.publisher	OSA
dc.relation.ispartof	2020 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2020 - Proceedings
dc.relation.ispartof	Conference on Lasers and Electro-Optics/Pacific Rim
dc.relation.isbasedon	10.1364/CLEOPR.2020.P3_1
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	Multiple Nonlinear Regression-Based Adaptive Colour Model for Smartphone Colorimeter
dc.type	Conference Proceeding
utslib.citation.volume	00
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	2022-08-01T00:00:00+1000Z
dc.date.updated	2021-05-07T03:40:14Z
pubs.publication-status	Published
pubs.start-date	2020
pubs.volume	00

Abstract:

A self-contained smartphone-based colorimetric sensing platform adaptable for multiple analytes is demonstrated. Concurrent variation of multiple optical sensing parameters is addressed using multiple nonlinear regression analysis.

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http://hdl.handle.net/10453/148777