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Tracking and detection of basketball movements using multi-feature data fusion and hybrid YOLO-T2LSTM network
X Li, R Luo, FU Islam - Soft Computing, 2024 - Springer
The ability to identify human actions in uncontrolled environments is essential for human–
computer interaction, especially in sports, to provide athletes, coaches, and analysts …
computer interaction, especially in sports, to provide athletes, coaches, and analysts …
Basketball Fixed-point Shot Hit Prediction Based on Human Pose Estimation Algorithm
X Li, J Hua - Informatica, 2024 - informatica.si
As computer vision and artificial intelligence develop, the research on basketball fixed-point
shot hit prediction based on human pose estimation algorithm becomes a topic of great …
shot hit prediction based on human pose estimation algorithm becomes a topic of great …
Ball Trajectory and Spin Analysis from Asynchronous Videos
Existing systems for ball trajectory and spin estimation use embedded sensors or expensive
high-frame-rate cameras which severely limits their accessibility. We propose an easy-to …
high-frame-rate cameras which severely limits their accessibility. We propose an easy-to …
A Method for Generating Basketball Defensive Runs by Combining VAE-WGAN
Q Tang, G Xu, X Liang, J Luo, G Shen… - 2023 9th International …, 2023 - ieeexplore.ieee.org
The Report on the Development of Basketball in China states that the proportion of the
population aged 6 to 65 who play basketball is 10.9% and the proportion of those who play …
population aged 6 to 65 who play basketball is 10.9% and the proportion of those who play …
The Rating of Basketball Players' Competitive Performance Based on RBF-EVA Method
J Jia, H Chen - International Journal of Information Technology and …, 2023 - igi-global.com
Basketball, as an offensive and defensive game centered around high altitude, has become
an international mass competitive sport. Traditional methods cannot comprehensively …
an international mass competitive sport. Traditional methods cannot comprehensively …
Basketball Footwork and Application Supported by Deep Learning Unsupervised Transfer Method
Y Feng, H Sun - International Journal of Information Technology and …, 2023 - igi-global.com
The combination of traditional basketball footwork mobile teaching and AI will become a hot
spot in basketball footwork research. This article used a deep learning (DL) unsupervised …
spot in basketball footwork research. This article used a deep learning (DL) unsupervised …
A Study on Merchandise Pricing and Replenishment Decision Based on Simulated Annealing Algorithm and Lasso Regression
H Wang, Z Yao - 2024 IEEE 2nd International Conference on …, 2024 - ieeexplore.ieee.org
This paper mainly focuses on the pricing strategy and purchase decision of vegetable
commodities in the fresh supermarket. By using the historical data and data analysis …
commodities in the fresh supermarket. By using the historical data and data analysis …
A Study on Momentum Prediction for Tennis Matches Based on Sliding Window Algorithm and LSTM Networks
Q Xu, X Wang - … Conference on Mechatronics, IoT and Industrial …, 2024 - ieeexplore.ieee.org
In this paper, the influence of momentum in tennis matches is studied, and the sliding
window algorithm and LSTM model are used to evaluate and predict the performance of …
window algorithm and LSTM model are used to evaluate and predict the performance of …