Background: the machine learning (ML) techniques have been implemented in numerous
applications, including health-care, security, entertainment, and sports. In this article, we …

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 …

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 …

(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 …

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 …

Study purpose. Balance, concentration, muscle endurance, and accuracy are very important
for archery athletes, but there are still limited game models to improve balance …