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    Conclusions and Future Directions

    New search for: Zhang, Limao
    New search for: Pan, Yue
    New search for: Wu, Xianguo

    Recent decades have witnessed the rapid development of digital technology and the growth of big data in the construction industry. In particular, AI implementation, which attempts to equip machines with human-like intelligent behavior and reasoning, has gained a lot of attention.

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    Conclusions and Future Directions

    New search for: Zhang, Limao
    New search for: Pan, Yue
    New search for: Wu, Xianguo

    Recent decades have witnessed the rapid development of digital technology and the growth of big data in the construction industry. In particular, AI implementation, which attempts to equip machines with human-like intelligent behavior and reasoning, has gained a lot of attention.

    Access

    Check access
    Check availability in my library
    Order at Subito €

    Conclusions and Future Directions

    New search for: Zhang, Limao
    New search for: Pan, Yue
    New search for: Wu, Xianguo

    Recent decades have witnessed the rapid development of digital technology and the growth of big data in the construction industry. In particular, AI implementation, which attempts to equip machines with human-like intelligent behavior and reasoning, has gained a lot of attention.

    Access

    Check access
    Check availability in my library
    Order at Subito €

    Access

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    Check availability in my library
    Order at Subito €

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    Document information
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    Document information
    Title:

    Conclusions and Future Directions

    Additional title:

    Lecture Notes in Civil Engineering

    Contributors:

    Zhang, Limao (author) / Pan, Yue (author) / Wu, Xianguo (author) / Skibniewski, Mirosław J. (author)

    Published in:

    Artificial Intelligence in Construction Engineering and Management ; Chapter: 11 ; 257-263

    Lecture Notes in Civil Engineering ; 163

    Publication date:

    2021-06-19

    Size:

    7 pages

    ISBN:

    978-981-16-2842-9 , 978-981-16-2841-2

    ISSN:

    2366-2565 , 2366-2557

    DOI:

    https://doi.org/10.1007/978-981-16-2842-9_11

    Type of media:

    Article/Chapter (Book)

    Type of material:

    Electronic Resource

    Language:

    English

    Keywords:

    Engineering , Construction Management , Artificial Intelligence , Computational Intelligence , Image Processing and Computer Vision , Computer-Aided Engineering (CAD, CAE) and Design

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