Deep learning for construction emission monitoring with low-cost sensor network

Nguyen, HAD; Le, TH; Ha, QP; Azzi, M

Deep learning for construction emission monitoring with low-cost sensor network

Nguyen, HAD Le, TH Ha, QP Azzi, M

Permalink

Publisher:: International Association for Automation and Robotics in Construction (IAARC)
Publication Type:: Conference Proceeding
Citation:: Proceedings of the 40th International Symposium on Automation and Robotics in Construction, 2023
Issue Date:: 2023-07-07

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download Accepted versionAdobe PDF (1.35 MB)

View on publisher's site

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Nguyen, HAD
dc.contributor.author	Le, TH
dc.contributor.author	Ha, QP
dc.contributor.author	Azzi, M
dc.date	2023-07-05
dc.date.accessioned	2023-07-16T13:06:03Z
dc.date.available	2023-07-16T13:06:03Z
dc.date.issued	2023-07-07
dc.identifier.citation	Proceedings of the 40th International Symposium on Automation and Robotics in Construction, 2023
dc.identifier.issn	2413-5844
dc.identifier.uri	http://hdl.handle.net/10453/171517
dc.language	en
dc.publisher	International Association for Automation and Robotics in Construction (IAARC)
dc.relation	NSW Department of Planning, Industry and Environment
dc.relation.ispartof	Proceedings of the 40th International Symposium on Automation and Robotics in Construction
dc.relation.ispartof	Proceedings of the 40th International Symposium on Automation and Robotics in Construction
dc.relation.isbasedon	10.22260/isarc2023/0061
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Deep learning for construction emission monitoring with low-cost sensor network
dc.type	Conference Proceeding
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 - CBI - Centre for Built Infrastructure
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	open_access	*
dc.date.updated	2023-07-16T13:06:01Z
pubs.finish-date	2023-07-07
pubs.publication-status	Published
pubs.start-date	2023-07-05

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/171517