Application of artificial intelligence in basketball sport
B Li, X Xu - Journal of Education, Health and Sport, 2021 - apcz.umk.pl
Basketball is among the most popular sports in the world, and its related industries have
also produced huge economic benefits. In recent years, the application of artificial …
also produced huge economic benefits. In recent years, the application of artificial …
[HTML][HTML] Applications of Machine Learning in cricket: A systematic review
I Wickramasinghe - Machine Learning with Applications, 2022 - Elsevier
Cricket has become a famous team game around the globe, and it is considered the world's
second most popular sport (Pathak and Wadhwa, 2016). The plethora of available cricket …
second most popular sport (Pathak and Wadhwa, 2016). The plethora of available cricket …
Methodology and evaluation in sports analytics: challenges, approaches, and lessons learned
There has been an explosion of data collected about sports. Because such data is extremely
rich and complex, machine learning is increasingly being used to extract actionable insights …
rich and complex, machine learning is increasingly being used to extract actionable insights …
Sports big data: management, analysis, applications, and challenges
Z Bai, X Bai - Complexity, 2021 - Wiley Online Library
With the rapid growth of information technology and sports, analyzing sports information has
become an increasingly challenging issue. Sports big data come from the Internet and show …
become an increasingly challenging issue. Sports big data come from the Internet and show …
A data science approach analysing the impact of injuries on basketball player and team performance
The sports industry utilizes science to improve short to long-term team and player
management regarding budget, health, tactics, training, and most importantly performance …
management regarding budget, health, tactics, training, and most importantly performance …
Player tracking data in sports
SA Kovalchik - Annual Review of Statistics and Its Application, 2023 - annualreviews.org
There has been rapid growth in the collection of player tracking data in recent years. These
data, providing spatiotemporal locations of players and ball at high resolution, have spurred …
data, providing spatiotemporal locations of players and ball at high resolution, have spurred …
Sports analytics for football league table and player performance prediction
Common Machine Learning applications in sports analytics relate to player injury prediction
and prevention, potential skill or market value evaluation, as well as team or player …
and prevention, potential skill or market value evaluation, as well as team or player …
Who will score? a machine learning approach to supporting football team building and transfers
B Ćwiklinski, A Giełczyk, M Choraś - Entropy, 2021 - mdpi.com
Background: the machine learning (ML) techniques have been implemented in numerous
applications, including health-care, security, entertainment, and sports. In this article, we …
applications, including health-care, security, entertainment, and sports. In this article, we …
Integration of machine learning XGBoost and SHAP models for NBA game outcome prediction and quantitative analysis methodology
Y Ouyang, X Li, W Zhou, W Hong, W Zheng, F Qi… - Plos one, 2024 - journals.plos.org
This study investigated the application of artificial intelligence in real-time prediction of
professional basketball games, identifying the variations within performance indicators that …
professional basketball games, identifying the variations within performance indicators that …
Modeling the influence of basketball players' offense roles on team performance
R Chen, M Zhang, X Xu - Frontiers in Psychology, 2023 - frontiersin.org
This study aimed to (1) use the clustering method to build a classification model based on
the play-type data of basketball players, to classify native and foreign players into different …
the play-type data of basketball players, to classify native and foreign players into different …