Artificial Intelligence in Construction Engineering and Management (Record no. 78661)

000 -LEADER
fixed length control field 03986nam a22006375i 4500
001 - CONTROL NUMBER
control field 978-981-16-2842-9
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801220529.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210618s2021 si | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9789811628429
-- 978-981-16-2842-9
082 04 - CLASSIFICATION NUMBER
Call Number 690.06
100 1# - AUTHOR NAME
Author Zhang, Limao.
245 10 - TITLE STATEMENT
Title Artificial Intelligence in Construction Engineering and Management
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2021.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XI, 263 p. 105 illus., 89 illus. in color.
490 1# - SERIES STATEMENT
Series statement Lecture Notes in Civil Engineering,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 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.
700 1# - AUTHOR 2
Author 2 Pan, Yue.
700 1# - AUTHOR 2
Author 2 Wu, Xianguo.
700 1# - AUTHOR 2
Author 2 Skibniewski, Mirosław J.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-981-16-2842-9
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
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-- Singapore :
-- Springer Nature Singapore :
-- Imprint: Springer,
-- 2021.
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-- text
-- txt
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-- computer
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-- rdamedia
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-- online resource
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-- text file
-- PDF
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Construction industry—Management.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational intelligence.
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-- Computer vision.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer-aided engineering.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Construction Management.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Vision.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer-Aided Engineering (CAD, CAE) and Design.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2366-2565 ;
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-- ZDB-2-ENG
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-- ZDB-2-SXE

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