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    Multimodal Data Fusion and Deep Learning for Occupant-Centric Indoor Environmental Quality Classification 

    Source: Journal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 002:;page 04024061-1
    Author(s): Min Jae Lee; Ruichuan Zhang
    Publisher: American Society of Civil Engineers
    Abstract: Amidst the growing recognition of the impact of indoor environmental conditions on buildings and occupant comfort, health, and well-being, there has been an increasing focus on the assessment and modeling of indoor ...
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    Human-Centric Artificial Intelligence of Things–Based Indoor Environment Quality Modeling Framework for Supporting Student Well-Being in Educational Facilities 

    Source: Journal of Computing in Civil Engineering:;2024:;Volume ( 038 ):;issue: 002:;page 04024002-1
    Author(s): Min Jae Lee; Ruichuan Zhang
    Publisher: ASCE
    Abstract: Maintaining the quality of indoor environments in educational facilities is crucial for student comfort, health, well-being, and students’ learning performance. Current indoor environment maintenance practices and building ...
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    Decision Tree Approach to Classify and Quantify Cumulative Impact of Change Orders on Productivity 

    Source: Journal of Computing in Civil Engineering:;2004:;Volume ( 018 ):;issue: 002
    Author(s): Min-Jae Lee; Awad S. Hanna; Wei-Yin Loh
    Publisher: American Society of Civil Engineers
    Abstract: Multiple or unusual change orders often cause productivity losses through a “ripple effect” or “cumulative impact” of changes. Many courts and administrative boards recognize that there is cumulative impact above and beyond ...
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    Statistical-Fuzzy Approach to Quantify Cumulative Impact of Change Orders 

    Source: Journal of Computing in Civil Engineering:;2002:;Volume ( 016 ):;issue: 004
    Author(s): Awad S. Hanna; Wafik B. Lotfallah; Min-Jae Lee
    Publisher: American Society of Civil Engineers
    Abstract: This paper presents a hybrid approach to quantify the impact of change orders on construction projects using statistical regression and fuzzy logic. There are many qualitative variables affecting the impact of change orders ...
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    Benchmarking Productivity Indicators for Electrical/Mechanical Projects 

    Source: Journal of Construction Engineering and Management:;2002:;Volume ( 128 ):;issue: 004
    Author(s): Awad S. Hanna; Pehr Peterson; Min-Jae Lee
    Publisher: American Society of Civil Engineers
    Abstract: Labor-intensive industries such as the electrical and mechanical trades are considered high risk due to the high percentage of labor costs. Because of this high risk, it is important for contractors in these industries to ...
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    Cumulative Effect of Project Changes for Electrical and Mechanical Construction 

    Source: Journal of Construction Engineering and Management:;2004:;Volume ( 130 ):;issue: 006
    Author(s): Awad S. Hanna; Richard Camlic; Pehr A. Peterson; Min-Jae Lee
    Publisher: American Society of Civil Engineers
    Abstract: Change is inevitable on construction projects, primarily because of the uniqueness of each project and the limited resources of time and money that can be spent on planning, executing, and delivering the project. Change ...
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    DSpace software copyright © 2002-2015  DuraSpace
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