Developing vehicular traffic noise prediction model through ensemble machine learning algorithms with GIS

Ahmed, AA; Pradhan, B; Chakraborty, S; Alamri, A

Developing vehicular traffic noise prediction model through ensemble machine learning algorithms with GIS

Ahmed, AA Pradhan, B

Chakraborty, S

Alamri, A

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Publisher:: Springer Science and Business Media LLC
Publication Type:: Journal Article
Citation:: Arabian Journal of Geosciences, 2021, 14, (16)
Issue Date:: 2021-08

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Field	Value	Language
dc.contributor.author	Ahmed, AA
dc.contributor.author	Pradhan, B https://orcid.org/0000-0001-9863-2054
dc.contributor.author	Chakraborty, S https://orcid.org/0000-0002-0102-5424
dc.contributor.author	Alamri, A
dc.date.accessioned	2021-07-30T04:47:58Z
dc.date.available	2021-07-30T04:47:58Z
dc.date.issued	2021-08
dc.identifier.citation	Arabian Journal of Geosciences, 2021, 14, (16)
dc.identifier.issn	1866-7511
dc.identifier.issn	1866-7538
dc.identifier.uri	http://hdl.handle.net/10453/149995
dc.language	en
dc.publisher	Springer Science and Business Media LLC
dc.relation.ispartof	Arabian Journal of Geosciences
dc.relation.isbasedon	10.1007/s12517-021-08114-y
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0403 Geology
dc.title	Developing vehicular traffic noise prediction model through ensemble machine learning algorithms with GIS
dc.type	Journal Article
utslib.citation.volume	14
utslib.for	0403 Geology
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 - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
utslib.copyright.status	closed_access	*
dc.date.updated	2021-07-30T04:47:56Z
pubs.issue	16
pubs.publication-status	Published online
pubs.volume	14
utslib.citation.issue	16

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