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Titlebook: Machine Learning in Sports; Identifying Potentia Rabiu Muazu Musa,Zahari Taha,Mohamad Razali Abdull Book 2019 The Author(s), under exclusiv

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發(fā)表于 2025-3-21 18:10:59 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Machine Learning in Sports
副標(biāo)題Identifying Potentia
編輯Rabiu Muazu Musa,Zahari Taha,Mohamad Razali Abdull
視頻videohttp://file.papertrans.cn/621/620703/620703.mp4
叢書名稱SpringerBriefs in Applied Sciences and Technology
圖書封面Titlebook: Machine Learning in Sports; Identifying Potentia Rabiu Muazu Musa,Zahari Taha,Mohamad Razali Abdull Book 2019 The Author(s), under exclusiv
描述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.?
出版日期Book 2019
關(guān)鍵詞Archery Performance; Anthropometry Correlation; Bio-physiological Indicators; High Potential Archers; Pe
版次1
doihttps://doi.org/10.1007/978-981-13-2592-2
isbn_softcover978-981-13-2591-5
isbn_ebook978-981-13-2592-2Series ISSN 2191-530X Series E-ISSN 2191-5318
issn_series 2191-530X
copyrightThe Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2019
The information of publication is updating

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Rabiu Muazu Musa,Zahari Taha,Anwar P. P. Abdul Majeed,Mohamad Razali Abdullahast (F temper) and after the part is subjected to an artificial age during the Original Equipment Manufacturers paint shop cure oven exposure. In addition, for manufacturability of the next-generation ultra-large body castings, new aluminum alloys are also required to exhibit enhanced castability. T
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Rabiu Muazu Musa,Zahari Taha,Anwar P. P. Abdul Majeed,Mohamad Razali Abdullah5 times). The average bath and metal temperature in the demonstration case is observed to depend on the feeding pattern used to add alumina into the bath. The proposed framework can be used to observe the spatial and temporal changes of dissolved and particle alumina as well as the bath temperature
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Rabiu Muazu Musa,Zahari Taha,Anwar P. P. Abdul Majeed,Mohamad Razali Abdullah SAQR is now focused on extending its reach within EGA. SAQR is currently being used in potlines, crucible tracking, reduction process control and busbar monitoring. Today we have full visibility of every crucible journey within EGA and in the future we aspire to have full visibility of every proces
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Introduction, learning in sporting activities, the clustering technique as well as a brief introduction of the machine learning techniques utilised in the present study. The participants are considered, and also the archery shooting test is presented.
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