Artificial intelligence in construction engineering and management / Limao Zhang, Yue Pan, Xianguo Wu, Mirosław J. Skibniewski.

Author/creator Zhang, Limao author.
Other author Pan, Yue, author.
Other author Wu, Xian'guo, author.
Other author Skibniewski, Mirosław J., author.
Format Electronic
Publication InfoSingapore : Springer, [2021]
Description1 online resource.
Supplemental ContentClick here to view book
Subjects

SeriesLecture notes in civil engineering, 2366-2557 ; v. 163
Lecture notes in civil engineering ; v. 163. ^A1484302
Contents Introduction to Artificial Intelligence -- Knowledge representation -- Fuzzy Modeling and reasoning -- Time series prediction -- Information fusion -- Dynamic Bayesian Networks -- Process mining -- Agent-based simulation -- Expert system -- Computer vision -- Conclusions and future directions.
Abstract 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.
Bibliography noteIncludes bibliographical references.
Source of descriptionOnline resource; title from PDF title page (SpringerLink, viewed June 30, 2021).
Issued in other formPrint version: 9811628416 9789811628412
ISBN9789811628429 (electronic bk.)
ISBN9811628424 (electronic bk.)
Standard identifier# 10.1007/978-981-16-2842-9

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