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008			220312s2021 si | s |||| 0|eng d
020			_a9789811628429
024	7		_a10.1007/978-981-16-2842-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aHD9715.A2 _b2021 EB
100	1		_aZhang, Limao _eautor _4 _4http://id.loc.gov/vocabulary/relators/aut _9682883
245	1	0	_aArtificial Intelligence in Construction Engineering and Management _cby Limao Zhang, Yue Pan, Xianguo Wu, Mirosław J. Skibniewski
250			_aFirst edition 2021
264		1	_aSingapore _bSpringer International Publishing _c2021
300			_a1 recurso en línea (XI, 263 páginas) _b 105 ilustraciones, 89 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aLecture Notes in Civil Engineering _x2366-2565 _v163
490	0		_aEngineering (SpringerNature-11647)
490	0		_aEngineering (R0) (SpringerNature-43712)
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	3		_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.
988			_aSpringer_Engineering_2021
650		7	_2embne _9407043 _aProyectos de construcción
700	1		_aPan, Yue _eautor _4 _4http://id.loc.gov/vocabulary/relators/aut _9682884
700	1		_aWu, Xian'guo _eautor _4 _4http://id.loc.gov/vocabulary/relators/aut _9682885
700	1		_aSkibniewski, Mirosław J. _eautor _4 _4http://id.loc.gov/vocabulary/relators/aut _9682886
776	0	8	_iPrinted edition: _z9789811628412
776	0	8	_iPrinted edition: _z9789811628436
776	0	8	_iPrinted edition: _z9789811628443
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-2842-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2022 _dz _eIG _zSI