Real-driving CO2, NOx and fuel consumption estimation using machine learning approaches

Shahariar, GMH; Bodisco, TA; Surawski, N; Komol, MR; Sajjad, M; Chu-Van, T; Ristovski, Z; Brown, RJ

Real-driving CO2, NOx and fuel consumption estimation using machine learning approaches

Shahariar, GMH Bodisco, TA Surawski, N

Komol, MR Sajjad, M Chu-Van, T Ristovski, Z Brown, RJ

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Publisher:: Elsevier
Publication Type:: Journal Article
Citation:: Next Energy, 2023, 1, (4), pp. 100060
Issue Date:: 2023-12

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Field	Value	Language
dc.contributor.author	Shahariar, GMH
dc.contributor.author	Bodisco, TA
dc.contributor.author	Surawski, N https://orcid.org/0000-0003-2584-1044
dc.contributor.author	Komol, MR
dc.contributor.author	Sajjad, M
dc.contributor.author	Chu-Van, T
dc.contributor.author	Ristovski, Z
dc.contributor.author	Brown, RJ
dc.date.accessioned	2024-04-10T06:20:04Z
dc.date.available	2024-04-10T06:20:04Z
dc.date.issued	2023-12
dc.identifier.citation	Next Energy, 2023, 1, (4), pp. 100060
dc.identifier.issn	2949-821X
dc.identifier.uri	http://hdl.handle.net/10453/177659
dc.language	en
dc.publisher	Elsevier
dc.relation.ispartof	Next Energy
dc.relation.isbasedon	10.1016/j.nxener.2023.100060
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Real-driving CO2, NOx and fuel consumption estimation using machine learning approaches
dc.type	Journal Article
utslib.citation.volume	1
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/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	University of Technology Sydney/Strength - CTWW - Centre for Technology in Water and Wastewater Treatment
pubs.organisational-group	University of Technology Sydney/Strength - CGT - Centre for Green Technology
utslib.copyright.status	open_access	*
dc.date.updated	2024-04-10T06:20:02Z
pubs.issue	4
pubs.publication-status	Published
pubs.volume	1
utslib.citation.issue	4

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http://hdl.handle.net/10453/177659