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[كتاب][B] Artificial intelligence in sport performance analysis
D Araújo, M Couceiro, L Seifert, H Sarmento, K Davids - 2021 - taylorfrancis.com
To understand the dynamic patterns of behaviours and interactions between athletes that
characterize successful performance in different sports is an important challenge for all sport …
characterize successful performance in different sports is an important challenge for all sport …
Sports analytics and the big-data era
The explosion of data, with large datasets that are available for analysis, has affected
virtually every aspect of our lives. The sports industry has not been immune to these …
virtually every aspect of our lives. The sports industry has not been immune to these …
Application of GMDH to predict pore pressure from well logs data: A case study from Southeast Sichuan Basin, China
Pore pressure prediction is significant in the petroleum industry because, compared to direct
measurement, it is cost-effective and it generates an extensive range of data. Mathematical …
measurement, it is cost-effective and it generates an extensive range of data. Mathematical …
Optimization analysis of football match prediction model based on neural network
S Guan, X Wang - Neural Computing and Applications, 2022 - Springer
How to build a football match prediction model and use scientific methods to solve the
prediction problem has become a key point in the application of artificial intelligence in the …
prediction problem has become a key point in the application of artificial intelligence in the …
A framework of interpretable match results prediction in football with FIFA ratings and team formation
While forecasting football match results has long been a popular topic, a practical model for
football participants, such as coaches and players, has not been considered in great detail …
football participants, such as coaches and players, has not been considered in great detail …
Classification of non-Hodgkin lymphomas based on sample entropy signatures
Computational systems to provide studies and diagnoses of non-Hodgkin's lymphomas
have been increasingly developed to assist specialists in their decision-making. On the …
have been increasingly developed to assist specialists in their decision-making. On the …
SoccerNet: A Gated Recurrent Unit-based model to predict soccer match winners
Winning football matches is the major goal of all football clubs in the world. Football being
the most popular game in the world, many studies have been conducted to analyze and …
the most popular game in the world, many studies have been conducted to analyze and …
Machine learning models reveal key performance metrics of football players to win matches in qatar stars league
As football (soccer) is one of the most popular sports worldwide, winning football matches is
becoming an essential aspect of football clubs. In this study, we analyzed football players' …
becoming an essential aspect of football clubs. In this study, we analyzed football players' …
Naive bayes-correlation based feature weighting technique for sports match result prediction
There has been a rapid growth in the domains of artificial intelligence, data mining and
machine learning during the last few years. Machine learning techniques have been …
machine learning during the last few years. Machine learning techniques have been …
An overview of beach soccer, sepak takraw and the application of machine learning in team sports
This chapter shall provide an overview of the sport of beach soccer as well as sepak takraw.
It then provides a brief review on existing literature that employs machine learning on team …
It then provides a brief review on existing literature that employs machine learning on team …