00933nam a2200253 i 450099100190891970753620020507153701.0000419s1903 it ||| | ita b11581827-39ule_instLE02727232ExLDip.to Studi GiuridiciitaMM-VIII/EZaccaria, Antonio528746I due primi re dell'Italia unita /Antonio ZaccariaBologna :N. Zanichelli,1903344 p., [1] c. di tav. :ritr. ;19 cm.Umberto - Re d'Italia 1.Vittorio Emanuele - Re d'Italia 2..b1158182721-09-0602-07-02991001908919707536LE027 F/A II K ZAC01.0112027000143368le027-E0.00-l- 00000.i1178986402-07-02Due primi re dell'Italia unita896019UNISALENTOle02701-01-00ma -itait 2103731nam 22007095 450 991048333130332120251202162316.0981-13-2592-810.1007/978-981-13-2592-2(CKB)4100000006674902(MiAaPQ)EBC5518698(DE-He213)978-981-13-2592-2(PPN)243770405(EXLCZ)99410000000667490220181107d2019 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierMachine Learning in Sports Identifying Potential Archers /by Rabiu Muazu Musa, Zahari Taha, Anwar P.P.Abdul Majeed, Mohamad Razali Abdullah1st ed. 2019.Singapore :Springer Nature Singapore :Imprint: Springer,2019.1 online resource (53 pages)SpringerBriefs in Applied Sciences and Technology,2191-5318981-13-2591-X Introduction -- Bio-physiological indicators in evaluating archery performance -- Psychological variables in ascertaining potential archers -- Anthropometry correlation to archery performance -- Physical fitness parameters in the identification of high potential archers -- Concluding remarks.This brief highlights the association of different performance variables that influences archery performance and the employment of different machine learning algorithms in the identification of potential archers. The sport of archery is often associated with a myriad of performance indicators namely bio-physiological, psychological, anthropometric as well as physical fitness. Traditionally, the determination of potential archers is carried out by means of conventional statistical techniques. Nonetheless, such methods often fall short in associating non-linear relationships between the variables. This book explores the notion of machine learning that is capable of mitigating the aforesaid issue. This book is valuable for coaches and managers in identifying potential archers during talent identification programs.SpringerBriefs in Applied Sciences and Technology,2191-5318Computational intelligenceSports sciencesComputer simulationSportsPsychological aspectsBiomedical engineeringSocial sciencesData processingComputational IntelligenceSport ScienceComputer ModellingSport PsychologyBiomedical Engineering and BioengineeringComputer Application in Social and Behavioral SciencesComputational intelligence.Sports sciences.Computer simulation.SportsPsychological aspects.Biomedical engineering.Social sciencesData processing.Computational Intelligence.Sport Science.Computer Modelling.Sport Psychology.Biomedical Engineering and Bioengineering.Computer Application in Social and Behavioral Sciences.658.3125Muazu Musa Rabiuauthttp://id.loc.gov/vocabulary/relators/aut871676Zahari Tahaauthttp://id.loc.gov/vocabulary/relators/autP.P.Abdul Majeed Anwarauthttp://id.loc.gov/vocabulary/relators/autAbdullah Mohamad Razaliauthttp://id.loc.gov/vocabulary/relators/autBOOK9910483331303321Machine Learning in Sports2852250UNINA