Purpose: Comparative analysis of handgrip strength and somatotype features of arm wrestling athletes with different skill levels Material: The study involved 36 students and …
Machine learning models are implemented to perform tasks that human beings have difficulty completing. The analysis and prediction of players' performance of specific athletic …
L Lerebourg, D Saboul, M Clémençon… - … Journal of Sports …, 2023 - thieme-connect.com
Although studies used machine learning algorithms to predict performances in sports activities, none, to the best of our knowledge, have used and validated two artificial …
The identification and prediction of athletic talent are pivotal in the development of successful sporting careers. Traditional subjective assessment methods have proven …
In various sports large amounts of data are nowadays collected and analyzed to help scouts with identifying talented young athletes. In contrast, the literature on result-based talent …
M Siener, I Faber, A Hohmann - Applied Sciences, 2021 - mdpi.com
(1) Background: The search for talented young athletes is an important element of top-class sport. While performance profiles and suitable test tasks for talent identification have already …
JS Lau, R Ghafar, HA Hashim… - Annals of Applied Sport …, 2020 - aassjournal.com
Background. Archery is a sport that demands a high level of fitness due to its long hours of training and competitive nature. Thus, archers need to have high fatigue tolerance and body …
This chapter presents the overview, nature, and history of the volleyball sport. The chapter also highlights the performance-related parameters that contribute to the successful delivery …
BTPWB Yachsie, AS Graha, A Hartanto - Physical Education Theory …, 2023 - tmfv.com.ua
Study purpose. Balance, concentration, muscle endurance, and accuracy are very important for archery athletes, but there are still limited game models to improve balance …