Artificial Intelligence in Construction Engineering and Management - Paperback
by Limao Zhang (Author), Yue Pan (Author), Xianguo Wu (Author)
1. Introduction to Artificial Intelligence
2. Fuzzy logic and reasoning
3. Knowledge representation
4. Expert system
5. Information fusion
6. Time series analysis7. Process mining
8. Simulation and optimization
9. Natural language processing
10. Computer vision
11. Conclusions
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.
Dr. Zhang is currently an Assistant Professor at the School of Civil and Environmental Engineering (CEE), Nanyang Technological University (NTU), Singapore. He received his B.S., M.S., and Ph.D. degrees from Huazhong University of Science and Technology (HUST), China, in 2009, 2012, and 2014, respectively. Dr. Zhang's research interests focus on Construction Automation, Artificial Intelligence, Building Information Modeling, and Infrastructure Resilience. He serves as the editorial board member of peer-reviewed journals, such as Automation in Construction, and Smart and Sustainable Built Environment. He has led research projects with up to 2 million Singapore dollars and has more than 90 papers published in peer-reviewed journals.
Yue Pan is currently a Ph.D. candidate at the School of Civil and Environmental Engineering (CEE) in Nanyang Technological University, Singapore. Her research interests include construction informatics, building information modeling, and data mining to support smart construction engineering and management. She received the M.S. of Civil Engineering from Carnegie Mellon University, USA, in 2017, where she was involved in the group of advanced infrastructure systems (AIS). She earned the B.S. of Engineering Mechanics from Tongji University, China, in 2016.Made with care and unconditionally loved by our customers, this signature bestseller exceeds all expectations.
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