000			03449nam a2200469 i 4500
710	2		_aSpringerLink (Online service) _9106996
999			_c119414 _d119414
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003			ES-MaUEC
005			20230102113947.0
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007			cr nn nnnaamaa
008			200217s2020 si | s |||| 0|eng d
020			_a9789811532191
024	7		_a10.1007/978-981-15-3219-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aGV568 _b2020 EB
100	1		_aMuazu Musa, Rabiu _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9671030
245	0	0	_aMachine Learning in Team Sports : _bPerformance Analysis and Talent Identification in Beach Soccer & Sepak-takraw _cby Rabiu Muazu Musa, Anwar P.P. Abdul Majeed, Norlaila Azura Kosni, Mohamad Razali Abdullah.
250			_aFirst edition 2020.
264		1	_aSingapore _bSpringer Singapore _c2020
300			_a1 recurso en línea (X, 61 páginas) _b26 ilustraciones, 24 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aArchivo de texto _bPDF
490	0		_aSpringerBriefs in Applied Sciences and Technology _x2191-530X
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
505	0		_aAn Overview of Beach Soccer, Sepak Takraw and the Application of Machine Learning in Team Sports -- Key performance indicators in elite beach soccer -- Technical and tactical performance indicators determining successful and unsuccessful team in elite beach soccer -- Identifying talent in sepak takraw via Anthropometry indexes -- Physical fitness parameters in the identification of high potential sepak takraw players -- Relationship between psycho-maturity and performance of sepak takraw -- Concluding Remarks.
520	3		_aThis brief highlights the application of performance analysis tools in data acquisition, and various machine learning algorithms for evaluating team performance as well as talent identification in beach soccer and sepak takraw. Numerous performance indicators and human performance parameters are considered based on their relevance to each sport. The findings presented here demonstrate that the key performance indicators as well as human performance parameters can be used in the future evaluation of team performance as well as talent identification in these sports. Accordingly, they offer a valuable resource for coaches, club managers, talent identification experts, performance analysts and other relevant stakeholders involved in performance assessments. .
988			_aSpringer_Robotics_31032020
650		7	_2embne _aDeportes _xProceso de datos _9138385
650		7	_2embne _aAprendizaje automático _9166090
700	1		_aP.P. Abdul Majeed, Anwar. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9673607
700	1		_aKosni, Norlaila Azura _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9673608
700	1		_aAbdullah, Mohamad Razali _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9673609
776	0	8	_iPrinted edition: _z9789811532184
776	0	8	_iPrinted edition: _z9789811532207
776	0	8	_iPrinted edition: _z9789811532214
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-15-3219-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b05/2020 _dz _ek _zSI