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Titlebook: Innovation and Technology in Sports; Proceedings of the I Syed Faris Syed Omar,Mohd Hasnun Arif Hassan,Anwar Conference proceedings 2023 Th

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樓主: Hypothesis
41#
發(fā)表于 2025-3-28 16:27:40 | 只看該作者
42#
發(fā)表于 2025-3-28 22:32:39 | 只看該作者
Investigation on the Acceleration of Wrist and Waist During a Golf Swing Towards the Ball Trajectormproving the game. The improvement is commonly quantified in terms of accuracy, which can be determined from the trajectory of the ball. The relationship between golf swings and ball trajectories is normally obtained in a laboratory setting, which is both limited in access and expensive. Golf swings
43#
發(fā)表于 2025-3-29 02:45:38 | 只看該作者
,Badminton Player’s Shot Prediction Using Deep Learning,ecause to the additional difficulties they provide, such as the difficulty in tracking small, swiftly moving objects like a ball or shuttlecock due to the fast camera movement and the existence of swings and spins, sports videos are still understudied. To access these massive archives of sports vide
44#
發(fā)表于 2025-3-29 05:44:53 | 只看該作者
45#
發(fā)表于 2025-3-29 08:02:32 | 只看該作者
Balqis Nabila,Hosni Hasan,Adam Linoby,Mohd Syrinaz Azli,Shariman Ismadi Ismail
46#
發(fā)表于 2025-3-29 12:22:58 | 只看該作者
Aina Munirah Ab Rasid,Muhammad Zuhaili Suhaimi,Anwar P. P. Abdul Majeed,Mohd Azraai Mohd Razman,Mohd
47#
發(fā)表于 2025-3-29 19:36:04 | 只看該作者
48#
發(fā)表于 2025-3-29 23:09:39 | 只看該作者
49#
發(fā)表于 2025-3-30 00:03:21 | 只看該作者
Physical Fitness Profile and Match Analysis of Elite Junior Badminton Players: Case Studies,ts were net (31.68%) and smash (20.04%), while female favourite shots were clear (25.43%) and drop (19.58%). The winning shots for the males were mostly from smash, while the females’ winning shots were from drop. The results of the study provide an insight to the coaches to develop effective traini
50#
發(fā)表于 2025-3-30 06:31:06 | 只看該作者
A Cluster Analysis and Artificial Neural Network of Identifying Skateboarding Talents Based on Bio-ance named High-Potential Skaters (HPS) and Low-Potential Skaters (LPS) following their skateboarding performance scores. An Artificial Neural Network (ANN) was conducted to ascertain the classified athletes into the clusters (HPS and LPS) based on the bio-fitness indicators evaluated along with the
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