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    AI Integration in Construction Education: A Survey on Awareness, Attitudes, and Implementation of AI among US and International Faculties 

    Source: Journal of Civil Engineering Education:;2025:;Volume ( 151 ):;issue: 004:;page 04025009-1
    Author(s): Jiun-Yao Cheng; Ajit Devkota; Masoud Gheisari; Idris Jeelani; Bryan W. Franz
    Publisher: American Society of Civil Engineers
    Abstract: Artificial intelligence (AI) presents significant opportunities and challenges within the construction industry. Higher education will have a vital role in preparing future professionals to leverage AI tools, and in the ...
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    Rough-Set Based Association Rules toward Performance of High-Friction Road Markings 

    Source: Journal of Transportation Engineering, Part B: Pavements:;2022:;Volume ( 148 ):;issue: 002:;page 05022001
    Author(s): Yu-Min Su; Jieh-Haur Chen; Jiun-Yao Cheng; Yu-Ting Hsu; Ming-Cheng Huang
    Publisher: ASCE
    Abstract: The objective of this study was to explore the association rules influencing the frictional performance of high-friction road markings based on the skid resistance acceptance standard in excess of 65 British Pendulum Number ...
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    Determining Worker Training Time for Precast Component Production in Construction: Empirical Study in Taiwan 

    Source: Journal of Construction Engineering and Management:;2021:;Volume ( 147 ):;issue: 001:;page 05020023-1
    Author(s): Hsing-Wei Tai; Jieh-Haur Chen; Jiun-Yao Cheng; Hsi-Hsien Wei; Shu-Chien Hsu; Hao-Cheng Liu
    Publisher: ASCE
    Abstract: This study is aimed at determining the worker training time and proficiency threshold for each activity in precast component production based on the learning curve theory. Training data for precast component production for ...
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