Nonintrusive Integrated Sensing and Noise-Aware Contrastive Learning for Advanced Building Occupancy Analysis

dc.contributor.author	Huang, Kaiyu
dc.contributor.author	Liu, Kaijian
dc.date.accessioned	2026-08-20T21:25:35Z
dc.date.available	2026-08-20T21:25:35Z
dc.date.copyright	2025/09/23
dc.date.issued	2026
dc.identifier.other	JCCEE5.CPENG-6781.pdf
dc.identifier.uri	http://yetl.yabesh.ir/yetl1/handle/yetl/4314432
dc.description.abstract	AbstractAccounting for occupancy information in building operations holds significant promise in enabling occupancy-responsive and energy-efficient operations of buildings to better harness their untapped energy efficiency potential. However, existing ...
dc.publisher	American Society of Civil Engineers
dc.title	Nonintrusive Integrated Sensing and Noise-Aware Contrastive Learning for Advanced Building Occupancy Analysis
dc.type	Journal Article
dc.journal.volume	40
dc.journal.issue	1
dc.journal.title	Journal of Computing in Civil Engineering
dc.identifier.doi	10.1061/JCCEE5.CPENG-6781
dc.journal.fristpage	04025111-1
dc.journal.lastpage	04025111-19
dc.page	19
dc.tree	Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 001
dc.contenttype	Fulltext