Category: Machine learning
Time to drop running as a KPI in elite football: football fitness and freshness as match-day preconditions
Sports Science 3.0 Series <> AI-Assisted HRV Monitoring: Enhancing Training Load Response and Decision-Making
Determinants of Success in Football: A Machine Learning Approach.
Sports Science 3.0: Integrating Technology and AI with Foundational Knowledge
From High-Speed Running to Hobbling on Crutches: A Machine Learning Perspective on the Relationships Between Training Doses and Match Injury Trends
Know-your-own-League context: insights for players preparation and recruitment – Part 4: match-to-match players rotations
Use of a GPS-Embedded Accelerometer to Evaluate the Complexity of the Running Gait. Part 2: Effects of Fatiguing Activity
Detecting Structured Variability in the Running Gait Using a GPS-Embedded, Trunk-Mounted Accelerometer. Part 1: Method Description
