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Artificial Intelligence in Construction Engineering and Management

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Artificial Intelligence in Construction Engineering and Management Synopsis

This book highlights the latest technologies and applications of Artificial Intelligence (AI) in the domain of construction engineering and management. The construction industry worldwide has been a late bloomer to adopting digital technology, where construction projects are predominantly managed with a heavy reliance on the knowledge and experience of construction professionals. AI works by combining large amounts of data with fast, iterative processing, and intelligent algorithms (e.g., neural networks, process mining, and deep learning), allowing the computer to learn automatically from patterns or features in the data. It provides a wide range of solutions to address many challenging construction problems, such as knowledge discovery, risk estimates, root cause analysis, damage assessment and prediction, and defect detection. A tremendous transformation has taken place in the past years with the emerging applications of AI. This enables industrial participants to operate projects more efficiently and safely, not only increasing the automation and productivity in construction but also enhancing the competitiveness globally.

About This Edition

ISBN: 9789811628412
Publication date:
Author: Limao Zhang, Yue Pan, Xianguo Wu, Miroslaw J Skibniewski
Publisher: Springer an imprint of Springer Nature Singapore
Format: Hardback
Pagination: 263 pages
Series: Lecture Notes in Civil Engineering
Genres: Building skills and trades
Computer vision
Computer-aided design (CAD)
Artificial intelligence