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1860797017139183616
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INTELEK Repository
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Online Access
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https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072
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2022-02-08 16:02:54
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Restricted Document
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11057
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UniSZA
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5210-01-FH05-FSSG-21-53725.pdf
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PDFium
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oai_dc
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https://intelek.unisza.edu.my/intelek/pages/view.php?ref=11057
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11057 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=11057 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072 Restricted Document Book Chapter application/pdf 6 Adobe Acrobat Pro DC 20 Paper Capture Plug-in 1.7 PDFium 2022-02-08 16:02:54 5210-01-FH05-FSSG-21-53725.pdf UniSZA Private Access Anthropometric Variables in the Identification of High-performance Volleyball Players In this chapter, we delve into the importance of certain anthropometric- and age-related variables in the detection of high- performance players during an indoor volleyball tournament. It is demonstrated that high- performance players in this sport are essentially taller, relatively younger, as well as slightly heavier, whilst huge body size coupled with higher age is found to be associated with low performance in the sport of men indoor volleyball . Moreover, an ANN-based classification model was found to be effective in the identification of the performance classes of the players. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Springer Science and Business Media Deutschland GmbH Springer Science and Business Media Deutschland GmbH 33-41 SpringerBriefs in Applied Sciences and Technology
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| spellingShingle |
Anthropometric Variables in the Identification of High-performance Volleyball Players
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| summary |
In this chapter, we delve into the importance of certain anthropometric- and age-related variables in the detection of high- performance players during an indoor volleyball tournament. It is demonstrated that high- performance players in this sport are essentially taller, relatively younger, as well as slightly heavier, whilst huge body size coupled with higher age is found to be associated with low performance in the sport of men indoor volleyball . Moreover, an ANN-based classification model was found to be effective in the identification of the performance classes of the players. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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| title |
Anthropometric Variables in the Identification of High-performance Volleyball Players
|
| title_full |
Anthropometric Variables in the Identification of High-performance Volleyball Players
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| title_fullStr |
Anthropometric Variables in the Identification of High-performance Volleyball Players
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| title_full_unstemmed |
Anthropometric Variables in the Identification of High-performance Volleyball Players
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| title_short |
Anthropometric Variables in the Identification of High-performance Volleyball Players
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| title_sort |
anthropometric variables in the identification of high-performance volleyball players
|