Deep learning has the potential to revolutionize sports performance, with applications
ranging from perception and comprehension to decision. This paper presents a …

With the recent progress in sports analytics, deep learning approaches have demonstrated
the effectiveness of mining insights into players' tactics for improving performance quality …

Dynamically planning in multi-agent systems has been explored to improve decision-making
in various domains. Professional basketball serves as a compelling example of a dynamic …

In professional basketball, the accurate prediction of scoring opportunities based on
strategic decision-making is crucial for space and player evaluations. However, traditional …

Recommending fashion items often leverages rich user profiles and makes targeted
suggestions based on past history and previous purchases. In this paper, we work under the …

Olahraga basket memiliki potensi besar sebagai media pendidikan karakter, khususnya
bagi generasi muda. Program pengabdian masyarakat ini bertujuan untuk mengajarkan …

Increased data availability has stimulated the interest in studying sports prediction problems
via analytical approaches; in particular, with machine learning and simulation. We …

Analysis of a football player's decision-making process often relies heavily on easily
interpretable statistics such as the goals scored, and the assists provided by the player …