The exercise volume and exercise level can be quantitatively assessed by measuring and
collecting athletes' health and exercise data. The protection of athletes' health information …

This study delved into the realm of sports analytics, employing machine learning techniques
to predict the outcomes of NBA games based on player performance and team statistics …

In recent years, there has been a proliferation of machine learning and deep learning in the
sports business, which has resulted in substantial breakthroughs in the assessment of …

The term sport refers to a collection of competitive or leisure physical activities conducted
under certain rules and regulations to enhance individuals' physical capabilities, skills, and …

In the area of sports sentiment analysis, particularly focused on cricket, this study presents a
comprehensive comparison of three prominent machine learning algorithms: Support Vector …

This study uses data from the 2009-2012 and 2013-2016 Brazilian Paralympic athletes'
participation in athletics, and swimming international and national competitions, to predict …

The challenge of predicting the outcome of a team game lies in the high complexity and
dynamics of the sports data. This thesis focuses on the aspect of using feature engineering …

ABSTRACT cricket is the most popular game. The Indian Premier League (IPL) is one of the
several series that are contested in the nation. A model with two techniques has been …