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020 _a9789811628429
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024 7 _a10.1007/978-981-16-2842-9
_2doi
050 4 _aTH438-438.4
072 7 _aTN
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082 0 4 _a690.06
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100 1 _aZhang, Limao.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_950837
245 1 0 _aArtificial Intelligence in Construction Engineering and Management
_h[electronic resource] /
_cby Limao Zhang, Yue Pan, Xianguo Wu, Mirosław J. Skibniewski.
250 _a1st ed. 2021.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2021.
300 _aXI, 263 p. 105 illus., 89 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Civil Engineering,
_x2366-2565 ;
_v163
505 0 _aIntroduction 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 _aThis 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 _aConstruction industry—Management.
_950838
650 0 _aArtificial intelligence.
_93407
650 0 _aComputational intelligence.
_97716
650 0 _aComputer vision.
_950839
650 0 _aComputer-aided engineering.
_914016
650 1 4 _aConstruction Management.
_950840
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aComputational Intelligence.
_97716
650 2 4 _aComputer Vision.
_950841
650 2 4 _aComputer-Aided Engineering (CAD, CAE) and Design.
_931735
700 1 _aPan, Yue.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_950842
700 1 _aWu, Xianguo.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_950843
700 1 _aSkibniewski, Mirosław J.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_950844
710 2 _aSpringerLink (Online service)
_950845
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811628412
776 0 8 _iPrinted edition:
_z9789811628436
776 0 8 _iPrinted edition:
_z9789811628443
830 0 _aLecture Notes in Civil Engineering,
_x2366-2565 ;
_v163
_950846
856 4 0 _uhttps://doi.org/10.1007/978-981-16-2842-9
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c78661
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