國立虎尾科技大學 |

Artificial Intelligence in Construction Engineering and Management

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Artificial Intelligence in Construction Engineering and Management / by Limao Zhang, Yue Pan, Xianguo Wu, Mirosław J. Skibniewski.
Author:	Zhang, Limao.
other author:	Pan, Yue.
Description:	XI, 263 p. 105 illus., 89 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Building—Superintendence. -
Online resource:	https://doi.org/10.1007/978-981-16-2842-9
ISBN:	9789811628429

Artificial Intelligence in Construction Engineering and Management
Zhang, Limao.

Artificial Intelligence in Construction Engineering and Management [electronic resource] /by Limao Zhang, Yue Pan, Xianguo Wu, Mirosław J. Skibniewski. - 1st ed. 2021. - XI, 263 p. 105 illus., 89 illus. in color.online resource. - Lecture Notes in Civil Engineering,1632366-2565 ;. - Lecture Notes in Civil Engineering,1.

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.

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.

ISBN: 9789811628429

Standard No.: 10.1007/978-981-16-2842-9doiSubjects--Topical Terms:

1254752
Building—Superintendence.

LC Class. No.: TH438

Dewey Class. No.: 624

Artificial Intelligence in Construction Engineering and Management
LDR:02880nam a22004095i 4500 001 1055700
003 DE-He213
005 20211007194638.0
007 cr nn 008mamaa
008 220103s2021 si | s |||| 0|eng d
020 $a 9789811628429 $9 978-981-16-2842-9
024 7 $a 10.1007/978-981-16-2842-9 $2 doi
035 $a 978-981-16-2842-9
050 4 $a TH438
072 7 $a TNT $2 bicssc
072 7 $a TEC005000 $2 bisacsh
072 7 $a TNT $2 thema
082 0 4 $a 624 $2 23
100 1 $a Zhang, Limao. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1360941
245 1 0 $a Artificial Intelligence in Construction Engineering and Management $h [electronic resource] / $c by Limao Zhang, Yue Pan, Xianguo Wu, Mirosław J. Skibniewski.
250 $a 1st ed. 2021.
264 1 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2021.
300 $a XI, 263 p. 105 illus., 89 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Lecture Notes in Civil Engineering, $x 2366-2565 ; $v 163
505 0 $a 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 $a 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 0 $a Building—Superintendence. $3 1254752
650 0 $a Construction industry—Management. $3 1254753
650 0 $a Construction superintendence. $3 1254754
650 0 $a Artificial intelligence. $3 559380
650 0 $a Computational intelligence. $3 568984
650 0 $a Optical data processing. $3 639187
650 0 $a Computer-aided engineering. $3 560192
650 1 4 $a Construction Management. $3 671020
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Computational Intelligence. $3 768837
650 2 4 $a Image Processing and Computer Vision. $3 670819
650 2 4 $a Computer-Aided Engineering (CAD, CAE) and Design. $3 669928
700 1 $a Pan, Yue. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1360942
700 1 $a Wu, Xianguo. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1360943
700 1 $a Skibniewski, Mirosław J. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1360944
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811628412
776 0 8 $i Printed edition: $z 9789811628436
776 0 8 $i Printed edition: $z 9789811628443
830 0 $a Lecture Notes in Civil Engineering, $x 2366-2557 ; $v 1 $3 1269917
856 4 0 $u https://doi.org/10.1007/978-981-16-2842-9
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)