Athlete engagement is influenced by several factors, including cohesion, passion and
mental toughness. Machine learning methods are frequently employed to construct …

Background: This study investigates the use of machine learning models, specifically
support vector regression (SVR) kernels, to predict team performance and identify potential …

Background. The interest in women's premier league cricket has caused the need for
advanced analytics to understand the multifaceted dynamics of the sport. Study Purpose …

Background. Random Forest is a popular machine learning algorithm used for classification
and regression tasks. The study purpose is to investigate the use of Random Forest machine …

India, like many other nations, heavily relies on agricultural exports to fund its national
budget. Economic losses may occur when crop and plant diseases reduce production …

Talent identification and player development are crucial aspects of sports management,
particularly in volleyball, where understanding players' performance predictors is essential …

Background and Purpose This study aims to comprehensively analyse strategies for
enhancing fan engagement and the overall spectator experience during cricket matches …

The objective of the paper is to construct an innovative ranking system based on various
Machine Learning (ML) techniques specifically tailored for One Day International (ODI) male …