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020			_a9789811393822
024	7		_a10.1007/978-981-13-9382-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTS227 _b2020 EB
100	1		_aVendan, S. Arungalai _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9671176
245	1	0	_aWelding and Cutting Case Studies with Supervised Machine Learning _cby S Arungalai Vendan, Rajeev Kamal, Abhinav Karan, Liang Gao, Xiaodong Niu, Akhil Garg
250			_aFirst edition
264		1	_aSingapore _bSpringer Singapore : _bImprint: Springer _c2020
300			_a1 recurso en línea (IX, 249 páginas) _b257 ilustraciones, 192 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aArchivo de texto _bPDF
490	0		_aEngineering Applications of Computational Methods _x2662-3366 _v1
490	0		_aEngineering (Springer-11647)
505	0		_aSupervised machine learning in magnetically impelled arc butt welding (MIAB) -- Supervised machine learning in cold metal transfer (CMT) -- Supervised machine learning in friction stir welding (FSW) -- Supervised machine learning in wire cut electric discharge maching (WEDM) -- Appendix: coding in python, numpy, panda, scikit-learn used for analysis with emphasis on libraries.
520	3		_aThis book presents machine learning as a set of pre-requisites, co-requisites, and post-requisites, focusing on mathematical concepts and engineering applications in advanced welding and cutting processes. It describes a number of advanced welding and cutting processes and then assesses the parametrical interdependencies of two entities, namely the data analysis and data visualization techniques, which form the core of machine learning. Subsequently, it discusses supervised learning, highlighting Python libraries such as NumPy, Pandas and Scikit Learn programming. It also includes case studies that employ machine learning for manufacturing processes in the engineering domain. The book not only provides beginners with an introduction to machine learning for applied sciences, enabling them to address global competitiveness and work on real-time technical challenges, it is also a valuable resource for scholars with domain knowledge.
988			_aSpringer_Engineering_23062020
650		7	_2embne _9140220 _aSoldadura
650		7	_2embne _aProcesos de fabricación _9163432
700	1		_aKamal, Rajeev _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9674522
700	1		_aKaran, Abhinav _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9674523
700	1		_aGao, Liang _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/n85333473 _1http://viaf.org/viaf/187302462 _9674518
700	1		_aNiu, Xiaodong _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/n91082614 _1http://viaf.org/viaf/233559776 _9674524
700	1		_aGarg, Akhil _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9674525
710	2		_aSpringerLink (Online service) _0http://id.loc.gov/authorities/names/no2005046756 _1http://viaf.org/viaf/148105729
776	0	8	_iPrinted edition: _z9789811393815
776	0	8	_iPrinted edition: _z9789811393839
776	0	8	_iPrinted edition: _z9789811393846
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-13-9382-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b06/2020 _dz _eIG _zSI