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Volleyball

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Analysis of Volleyball Video Intelligent Description Technology Based on Computer Memory Network and Attention Mechanism.

Computational intelligence and neuroscience
There are some problems in the process of video intelligent description and analysis of volleyball, such as poor effective information extraction rate and poor dynamic tracking effect. Based on this, combined with long-term and short-term memory netw...

Research on Volleyball Video Intelligent Description Technology Combining the Long-Term and Short-Term Memory Network and Attention Mechanism.

Computational intelligence and neuroscience
With the development of computer technology, video description, which combines the key technologies in the field of natural language processing and computer vision, has attracted more and more researchers' attention. Among them, how to objectively an...

Biomechanical Analysis of Volleyball Players' Spike Swing Based on Deep Learning.

Computational intelligence and neuroscience
Deep learning is to learn the inherent laws and representation levels of sample data. The information obtained during these learning processes is of great help in the interpretation of data such as text, images, and sounds. Through the deep learning ...

Biomechanics of Volleyball Players' Run-Up and Take-Off Link under Deep Learning.

Computational intelligence and neuroscience
In volleyball, the correct approach and start (including the number of steps and stride speed) are a prerequisite for all technical movements to attack. It can not only improve the horizontal speed of the athlete, but also properly convert the total ...

Volleyball Movement Standardization Recognition Model Based on Convolutional Neural Network.

Computational intelligence and neuroscience
Artificial intelligence and deep learning have attracted much attention from researchers in industry and academia. The volleyball movement standardization and recognition model involve the application of artificial intelligence and deep learning. In ...

Applying Unsupervised Machine Learning Models to Identify Serve Performance Related Indicators in Women's Volleyball.

Research quarterly for exercise and sport
In volleyball, the effect of different factors on serve performance has usually been analyzed with traditional statistical techniques such as logistic regression or discriminant analysis. In this study, two of the main models used in unsupervised ma...