| _version_ |
1860799991698685952
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| building |
INTELEK Repository
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| collection |
Online Access
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| collectionurl |
https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072
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| date |
2019-12-01 00:53:36
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| format |
Restricted Document
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| id |
8216
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| institution |
UniSZA
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| originalfilename |
4176-01-FH05-ESERI-19-35591.pdf
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| person |
Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML
like Gecko) Chrome/78.0.3904.108 Safari/537.36
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| recordtype |
oai_dc
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| resourceurl |
https://intelek.unisza.edu.my/intelek/pages/view.php?ref=8216
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| spelling |
8216 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=8216 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072 Restricted Document Book Chapter application/pdf 3 1.6 Adobe Acrobat Pro DC 20 Paper Capture Plug-in Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML like Gecko) Chrome/78.0.3904.108 Safari/537.36 2019-12-01 00:53:36 4176-01-FH05-ESERI-19-35591.pdf UniSZA Private Access Psycho-fitness parameters in the identification of high-potential archers This chapter highlights the relationship of psycho-fitness variables towards the recognition of HPA and LPA. The variables, namely hand grip, upper muscle strength, core muscle strength, static balance, vertical jump and athletic coping skills, were shown to be able to provide a reasonable clustering of the archers. Moreover, it was established that the coarse variation of the k-NN model yields the better classification of the HPA and LPA. © 2019, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Springer Verlag Germany Springer Verlag 37-44 SpringerBriefs in Applied Sciences and Technology
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| spellingShingle |
Psycho-fitness parameters in the identification of high-potential archers
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| summary |
This chapter highlights the relationship of psycho-fitness variables towards the recognition of HPA and LPA. The variables, namely hand grip, upper muscle strength, core muscle strength, static balance, vertical jump and athletic coping skills, were shown to be able to provide a reasonable clustering of the archers. Moreover, it was established that the coarse variation of the k-NN model yields the better classification of the HPA and LPA. © 2019, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
|
| title |
Psycho-fitness parameters in the identification of high-potential archers
|
| title_full |
Psycho-fitness parameters in the identification of high-potential archers
|
| title_fullStr |
Psycho-fitness parameters in the identification of high-potential archers
|
| title_full_unstemmed |
Psycho-fitness parameters in the identification of high-potential archers
|
| title_short |
Psycho-fitness parameters in the identification of high-potential archers
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| title_sort |
psycho-fitness parameters in the identification of high-potential archers
|