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Titlebook: Artificial Intelligence in Sports, Movement, and Health; Carlo Dindorf,Eva Bartaguiz,Michael Fr?hlich Book 2024 The Editor(s) (if applicab

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樓主: 威風(fēng)
41#
發(fā)表于 2025-3-28 15:17:31 | 只看該作者
Book 2024 were brought together, offering diverse perspectives and applications across various disciplines. Through the examination of real-world use cases and future possibilities, this book empowers readers with knowledge, enhancing the understanding of the transformative potential of AI in sports, movement, and health..
42#
發(fā)表于 2025-3-28 22:25:34 | 只看該作者
Handbook of Behavioral Medicinemportant criterion for scientific success, whereas the capability for explanation is seriously diminished. Finally, the chapter explores how the use of software leads to a new social organization of science.
43#
發(fā)表于 2025-3-29 01:31:13 | 只看該作者
44#
發(fā)表于 2025-3-29 04:20:10 | 只看該作者
45#
發(fā)表于 2025-3-29 08:50:17 | 只看該作者
46#
發(fā)表于 2025-3-29 11:51:35 | 只看該作者
47#
發(fā)表于 2025-3-29 16:26:57 | 只看該作者
Carlo Dindorf,Eva Bartaguiz,Michael Fr?hlichExplore how cutting-edge AI for sports enhances training, performance analysis, and strategic decision-making.Discover how AI improves injury prevention and promotes overall health management.Uncover
48#
發(fā)表于 2025-3-29 22:59:01 | 只看該作者
49#
發(fā)表于 2025-3-30 02:27:18 | 只看該作者
Machine Learning in Tennissuch as Hawk-Eye, has advanced research in this field. A review of scientific articles shows the recent evolution of Machine Learning (ML) techniques and their potential impact on tennis. Finally, a practical example of a predictive model is presented to demonstrate the process and results of this study.
50#
發(fā)表于 2025-3-30 05:43:26 | 只看該作者
Learning to Run Marathons: On the Applications of Machine Learning to Recreational Marathon Runninge data can be used to support individuals as they train and compete, focusing in particular on recreational marathon runners. We discuss why the marathon is an interesting data science application domain, and we present several case studies to demonstrate how ideas from machine learning and recommender systems can be used to help marathon runners.
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