Artificial Intelligence in Construction Engineering and Management (Record no. 16388)
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000 -LEADER | |
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fixed length control field | 02383nam a22002177a 4500 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 978-9811628443 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 690 |
Author Mark | ZHA |
Ledger number | N-02,P-106 |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Zhang, Limao [author.] |
245 ## - TITLE STATEMENT | |
Title | Artificial Intelligence in Construction Engineering and Management |
Remainder of title | Lecture Notes in Civil Engineering Volume Number.163 |
250 ## - EDITION STATEMENT | |
Edition statement | 1st Edition |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Place of publication, distribution, etc | Springer; |
Name of publisher, distributor, etc | Singapore, |
Date of publication, distribution, etc | 2021. |
300 ## - PHYSICAL DESCRIPTION | |
Extent | xi,263 pages |
Other physical details | 105 illus., 89 illus. in color. |
Dimensions | 24 cm |
505 ## - FORMATTED CONTENTS NOTE | |
Formatted contents note | 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. |
520 ## - SUMMARY, ETC. | |
Summary, etc | 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. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Construction industry,Management, Artificial intelligence, Computational intelligence, Computer vision, Computer-aided egineering, Construction Management, Artificial Intelligence, Computational Intelligence, Computer Vision, Computer-Aided Engineering (CAD, CAE) and Design |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | Pan, Yue [author.] |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | Wu, Xianguo [author.] |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | Skibniewski, Mirosław J [author.] |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | Books |
Damaged status | Not for loan | Home library | Current library | Date acquired | Full call number | Barcode | Koha item type |
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NUST/MCE Iqbal Library | NUST/MCE Iqbal Library | 14/04/2025 | 690 ZHA | 54214 | Books |