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    LLM-Driven Generative Agents for Simulating Occupant Feedback in Built Environments 

    Source: Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 004:;page 04026045-1
    Author(s): Lee, Min Jae; Zhang, Ruichuan
    Publisher: American Society of Civil Engineers
    Abstract: AbstractOccupant feedback plays a vital role in optimizing indoor environmental conditions in intelligent buildings. Yet in operational settings, such feedback is often sparse, delayed, or difficult to integrate into ...
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    Embracing Generative AI in Construction through a Quantitative Analysis and Weighted Score Ranking of Perceptions, Applications, and Complexities 

    Source: Journal of Construction Engineering and Management:;2026:;Volume ( 152 ):;issue: 005:;page 04026041-1
    Author(s): Sadeh, Hooman; Zhang, Ruichuan; Gaedicke, Cristian; Shahbodaghlou, Farzad; Lee, Min Jae; Todorov, Dimitar
    Publisher: American Society of Civil Engineers
    Abstract: Abstract As generative artificial intelligence (AI) tools such as generative pretrained transformer–based language models gain prominence, the construction industry faces adoption challenges that differ from deterministic ...
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     

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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian