Towards Sensor-Free Emission Monitoring for SMEs With Vision-Language Appliance Detection and Operational Context Inference

Azeem, M; Hu, Y

Towards Sensor-Free Emission Monitoring for SMEs With Vision-Language Appliance Detection and Operational Context Inference

Azeem, M Hu, Y

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Publication Type:: Journal Article
Citation:: 2026
Issue Date:: 2026-04-08

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Field	Value	Language
dc.contributor.author	Azeem, M
dc.contributor.author	Hu, Y https://orcid.org/0000-0002-6233-743X
dc.date.accessioned	2026-05-25T01:29:10Z
dc.date.available	2026-05-25T01:29:10Z
dc.date.issued	2026-04-08
dc.identifier.citation	2026
dc.identifier.uri	http://hdl.handle.net/10453/195123
dc.language	en
dc.relation.isbasedon	https://link.springer.com/chapter/10.1007/978-3-032-23286-1_10
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://dx.doi.org/10.1007/978-3-032-23286-1_10
dc.title	Towards Sensor-Free Emission Monitoring for SMEs With Vision-Language Appliance Detection and Operational Context Inference
dc.type	Journal Article
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 Computer Science
pubs.organisational-group	University of Technology Sydney/UTS Groups
pubs.organisational-group	University of Technology Sydney/UTS Groups/Australian Artificial Intelligence Institute (AAII)
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
dc.date.updated	2026-05-25T01:28:49Z
pubs.publication-status	Accepted

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http://hdl.handle.net/10453/195123