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001437582 001__ 1437582
001437582 003__ OCoLC
001437582 005__ 20230309004156.0
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001437582 008__ 210625s2021\\\\si\\\\\\ob\\\\000\0\eng\d
001437582 020__ $$a9789811631924$$q(electronic bk.)
001437582 020__ $$a9811631921$$q(electronic bk.)
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001437582 020__ $$z9789811631917
001437582 0247_ $$a10.1007/978-981-16-3192-4$$2doi
001437582 035__ $$aSP(OCoLC)1257550270
001437582 040__ $$aYDX$$beng$$epn$$cYDX$$dGW5XE$$dOCLCO$$dOCLCF$$dEBLCP$$dUKAHL$$dOCLCQ$$dOCLCO$$dOCLCQ
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001437582 050_4 $$aGV1015.3
001437582 08204 $$a796.3250285$$223
001437582 1001_ $$aMuazu Musa, Rabiu,$$eauthor.
001437582 24510 $$aMachine learning in elite volleyball :$$bintegrating performance analysis, competition and training strategies /$$cRabiu Muazu Musa, Anwar P.P. Abdul Majeed, Muhammad Zuhaili Suhaimi, Mohd Azraai Mohd Razman, Mohamad Razali Abdullah, Noor Azuan Abu Osman.
001437582 260__ $$aSingapore :$$bSpringer,$$c2021.
001437582 300__ $$a1 online resource
001437582 336__ $$atext$$btxt$$2rdacontent
001437582 337__ $$acomputer$$bc$$2rdamedia
001437582 338__ $$aonline resource$$bcr$$2rdacarrier
001437582 4901_ $$aSpringerBriefs in Applied Sciences and Technology,$$x2191-530X
001437582 504__ $$aIncludes bibliographical references.
001437582 5050_ $$aChapter 1. Nature of Volleyball Sport, Performance Analysis in Volleyball, and the Recent Advances of Machine Learning Application in Sports -- Chapter 2. The Effect of Competition strategies in influencing Volleyball performance -- Chapter 3. Identification of psychological training strategies essential for Volleyball performance -- Chapter 4. The Strategic competitional elements contributing to Volleyball performance -- Chapter 5. Anthropometric variables in the identification of high-performance Volleyball players -- Chapter 6. Performance Indicators predicting medalists and non-medalists in elite men Volleyball competition -- Chapter 7. Summary, Conclusion and Future Direction.
001437582 506__ $$aAccess limited to authorized users.
001437582 520__ $$aThis brief highlights the use of various Machine Learning (ML) algorithms to evaluate training and competitional strategies in Volleyball, as well as to identify high-performance players in the sport. Several psychological elements/strategies coupled with human performance parameters are discussed in view to ascertain their impact on performance in elite Volleyball competitions. It presents key performance indicators as well as human performance parameters that can be used in future evaluation of team performance and players. The details outlined in this brief are vital to coaches, club managers, talent identification experts, performance analysts as well as other important stakeholders in the evaluation of performance and to foster improvement in this sport.
001437582 650_0 $$aVolleyball$$xData processing.
001437582 650_0 $$aMachine learning.
001437582 650_6 $$aVolley-ball$$xInformatique.
001437582 650_6 $$aApprentissage automatique.
001437582 655_0 $$aElectronic books.
001437582 7001_ $$aAbdul Majeed, Anwar P. P.,$$eauthor.
001437582 7001_ $$aSuhaimi, Muhammad Zuhaili,$$eauthor.
001437582 7001_ $$aMohd Razman, Mohd Azraai,$$eauthor.
001437582 7001_ $$aAbdullah, Mohamad Razali,$$eauthor.
001437582 7001_ $$aAbu Osman, N. A.$$q(Noor Azuan),$$eauthor.
001437582 77608 $$iPrint version:$$aMuazu Musa, Rabiu.$$tMachine learning in elite volleyball.$$dSingapore : Springer, 2021$$z9811631913$$z9789811631917$$w(OCoLC)1250305441
001437582 830_0 $$aSpringerBriefs in applied sciences and technology,$$x2191-530X
001437582 852__ $$bebk
001437582 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-3192-4$$zOnline Access$$91397441.1
001437582 909CO $$ooai:library.usi.edu:1437582$$pGLOBAL_SET
001437582 980__ $$aBIB
001437582 980__ $$aEBOOK
001437582 982__ $$aEbook
001437582 983__ $$aOnline
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