(1) Background: Tennis has changed toward power-driven gameplay, demanding a
nuanced understanding of performance factors. This review explores the role of machine …

The aim of this study was to test a machine learning (ML) model to predict high-intensity
actions and body impacts during youth football training. Sixty under-15,-17, and-19 sub-elite …

The aim of this study was to conduct a sco** and bibliometric review of articles using
artificial intelligence (AI) in tennis. The analysis covered various aspects of tennis, including …

In this study, we proposed a cricket talent identification model based on fuzzy optimization
that employs the fuzzy analytical hierarchy process (FAHP) and particle swarm optimization …

The present study aimed to identify parameters that best discriminate between high-level
and scholar-level players for the Brazilian 13–14-year-old girl's handball and propose a …

In the past few years, there has been a noticeable surge in the utilization of artificial
intelligence techniques within the realm of talent evaluation, particularly in response to the …

Cricket talent identification is a methodical process that aims to find the young athletes
possessing a potential to excel in the cricket sport. We propose a cricket talent identification …

Körperliche Aktivität, Bewegung und Sport sind zentrale Elemente kultureller und
gesellschaftlicher Zivilisation und als individuelle und kollektive Gesundheitsressource von …

This research highlights the critical role of technology in sports, particularly in identifying and
develo** talent more effectively. Technology enables better athlete performance analysis; …

Cricket talent identification is a methodical process that aims to find the young athletes
possessing a potential to excel in the cricket sport. The researchers of this field are actively …