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

    Source: Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 001::page 04025111-1
    Author:
    Huang, Kaiyu
    ,
    Liu, Kaijian
    DOI: 10.1061/JCCEE5.CPENG-6781
    Publisher: American Society of Civil Engineers
    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 ...
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      Nonintrusive Integrated Sensing and Noise-Aware Contrastive Learning for Advanced Building Occupancy Analysis

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4314432
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    contributor authorHuang, Kaiyu
    contributor authorLiu, Kaijian
    date accessioned2026-08-20T21:25:35Z
    date available2026-08-20T21:25:35Z
    date copyright2025/09/23
    date issued2026
    identifier otherJCCEE5.CPENG-6781.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314432
    description abstractAbstractAccounting 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 ...
    publisherAmerican Society of Civil Engineers
    titleNonintrusive Integrated Sensing and Noise-Aware Contrastive Learning for Advanced Building Occupancy Analysis
    typeJournal Article
    journal volume40
    journal issue1
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/JCCEE5.CPENG-6781
    journal fristpage04025111-1
    journal lastpage04025111-19
    page19
    treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 001
    contenttypeFulltext
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