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    Business Failure Prediction of Construction Contractors Using a LSTM RNN with Accounting, Construction Market, and Macroeconomic Variables 

    Source: Journal of Management in Engineering:;2020:;Volume ( 036 ):;issue: 002
    Author(s): Youjin Jang; Inbae Jeong; Yong K. Cho
    Publisher: ASCE
    Abstract: In the construction industry, predicting business failure and providing early warnings are critical challenges in the prevention of business failure chain reactions. Most relevant studies have developed models that predicted ...
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    Estimating Compressive Strength of Concrete Using Deep Convolutional Neural Networks with Digital Microscope Images 

    Source: Journal of Computing in Civil Engineering:;2019:;Volume (033):;issue:003
    Author(s): Youjin Jang;Yonghan Ahn;Ha Young Kim
    Publisher: American Society of Civil Engineers
    Abstract: Compressive strength is a critical indicator of concrete quality for ensuring the safety of existing concrete structures. As an alternative to existing nondestructive testing methods, image-based concrete compressive ...
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    Estimating Compressive Strength of Concrete Using Deep Convolutional Neural Networks with Digital Microscope Images 

    Source: Journal of Computing in Civil Engineering:;2019:;Volume ( 033 ):;issue: 003
    Author(s): Youjin Jang; Yonghan Ahn; Ha Young Kim
    Publisher: American Society of Civil Engineers
    Abstract: Compressive strength is a critical indicator of concrete quality for ensuring the safety of existing concrete structures. As an alternative to existing nondestructive testing methods, image-based concrete compressive ...
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    Motion Planning of Mobile Robots for Autonomous Navigation on Uneven Ground Surfaces 

    Source: Journal of Computing in Civil Engineering:;2021:;Volume ( 035 ):;issue: 003:;page 04021001-1
    Author(s): Inbae Jeong; Youjin Jang; Jisoo Park; Yong K. Cho
    Publisher: ASCE
    Abstract: With the increasing interest in mobile robots for construction applications, autonomous navigation in unstructured and uneven construction sites has become a critical challenge. To ensure the safe and robust navigation of ...
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    Analyzing Trust Dynamics in Human–Robot Collaboration through Psychophysiological Responses in an Immersive Virtual Construction Environment 

    Source: Journal of Computing in Civil Engineering:;2024:;Volume ( 038 ):;issue: 004:;page 04024017-1
    Author(s): Hardik Chauhan; Ali Pakbaz; Youjin Jang; Inbae Jeong
    Publisher: American Society of Civil Engineers
    Abstract: Human–robot collaboration (HRC) has emerged as a promising frontier within the construction industry, offering the potential to enhance productivity, safety, and efficiency. The effectiveness of HRC critically depends on ...
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    Classifying the Business Model Types of International Construction Contractors 

    Source: Journal of Construction Engineering and Management:;2020:;Volume ( 146 ):;issue: 006
    Author(s): Youjin Jang; Kwonsik Song; Moonseo Park; Yonghan Ahn
    Publisher: ASCE
    Abstract: As the construction business environment becomes increasingly complex and competitive, business model innovation is being accepted as an essential factor in sustaining competitive advantage in the international construction ...
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    International Diversification and Performance of Construction Companies: Moderating Effect of Regional, Product, and Industry Diversifications 

    Source: Journal of Management in Engineering:;2019:;Volume ( 035 ):;issue: 005
    Author(s): Youjin Jang; Nahyun Kwon; Yonghan Ahn; Hyun-Soo Lee; Moonseo Park
    Publisher: American Society of Civil Engineers
    Abstract: In today's competitive and complex construction market, construction companies must expand their business into international markets if they are to survive and remain competitive. To improve our understanding of whether ...
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