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1860799991454367744
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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 00:51:40
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| format |
Restricted Document
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| id |
8215
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| institution |
UniSZA
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| originalfilename |
4175-01-FH05-ESERI-19-35588.pdf
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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=8215
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| spelling |
8215 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=8215 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072 Restricted Document Book Chapter application/pdf 2 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 00:51:40 4175-01-FH05-ESERI-19-35588.pdf UniSZA Private Access Anthropometry correlation towards archery performance This chapter assesses the association of a selection of anthropometry parameters in identifying HPA and LPA. It was shown that the selected parameters, i.e. abdominal circumference, arm span, calf circumference, height, hip circumference, thigh circumference and weight, are essential in the identification of potential of the archers. Furthermore, it was demonstrated that the linear SVM variation model provided the best prediction capability amongst the other evaluated SVM models. © 2019, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Springer Verlag Germany Springer Verlag 29-35 SpringerBriefs in Applied Sciences and Technology
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| spellingShingle |
Anthropometry correlation towards archery performance
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| summary |
This chapter assesses the association of a selection of anthropometry parameters in identifying HPA and LPA. It was shown that the selected parameters, i.e. abdominal circumference, arm span, calf circumference, height, hip circumference, thigh circumference and weight, are essential in the identification of potential of the archers. Furthermore, it was demonstrated that the linear SVM variation model provided the best prediction capability amongst the other evaluated SVM models. © 2019, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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| title |
Anthropometry correlation towards archery performance
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| title_full |
Anthropometry correlation towards archery performance
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| title_fullStr |
Anthropometry correlation towards archery performance
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| title_full_unstemmed |
Anthropometry correlation towards archery performance
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| title_short |
Anthropometry correlation towards archery performance
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| title_sort |
anthropometry correlation towards archery performance
|