Development Status and Influencing Factors of Competitive Basketball Management System under the Background of Deep Learning

Wang, Jingfei; Song, Xiaoyun

doi:10.1155/2022/5659467

Cited by 3 publications

(1 citation statement)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In contemporary institutions, a performance assessment of education technology talent training is conducted. Wang and Song [22] investigate the state of development and affecting elements of China's college ball management platform. This analysis presents the implementation of deep learning algorithms in basketball strategies and the basis of deep learning.…”

Section: Literature Surveymentioning

confidence: 99%

Classroom Behaviour of Talent Cultivation in Colleges and Universities Supported by Deep Learning Technology

Han

2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

Among the current significant issues in talent cultivation is changing colleges’ unique talent cultivation strategies and regulating the spontaneous connection of the talent cultivation, industrial, and entrepreneurial chains. In other terms, the growing disparity between college and university incorporation and industry demand for talent has made the growth of creative applied skills targeted to the industry want an acute problem. That is why colleges and universities must cultivate practical talent in a way that is effective, strong, low-cost, and creative. As a result, this research uses deep learning to develop an ensemble convolutional neural network with an attention mechanism to increase the performance and reliability of talent cultivation in universities and colleges and assess the talents properly. For this research, the datasets are gathered with the primary student and classroom information. Followed by standardising the data, the normalization technique is utilised. Then, the proposed method is employed for the data analysis. ANOVA, Chi-square test, and Student’s t -test are applied for the statistical analysis. Finally, the performance of the proposed technique is examined and compared with existing methods to prove the students’ highest performance in talent cultivation.

show abstract

Section: Literature Surveymentioning

confidence: 99%

Classroom Behaviour of Talent Cultivation in Colleges and Universities Supported by Deep Learning Technology

Han

2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

Retracted: Development Status and Influencing Factors of Competitive Basketball Management System under the Background of Deep Learning

Neuroscience¹

2023

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

Study of the influence of psychological mood on the performance and mental health of athletes in VR-aided basketball training

Wang

2024

Front. Psychol.

View full text Add to dashboard Cite

The purpose of this study is to determine the influence of psychological mood on the performance and mental health of athletes during VR training. The study involved representatives of both men’s and women’s basketball teams from universities in China (62 girls and 65 boys, whose average age was 18.2). The participants were divided into 2 groups. Both groups trained regularly, except the experimental group used VR technology, while the control group did not. To study the physical performance of respondents, a complex psychophysiological test was used. The Warwick-Edinburgh Mental Well-Being Scale (WEMWBS) was used to assess the psychological mood and mental health of respondents. The VR training has been proven to increase the psychological attitude of basketball players during the training. Specifically, it has a positive effect on the psychophysiological performance indicators and mental health of athletes. Prospective research will be aimed at a comparative study of the impact of VR technology in the training process on the results of basketball players and representatives of other team sports.

show abstract

Development Status and Influencing Factors of Competitive Basketball Management System under the Background of Deep Learning

Cited by 3 publications

References 20 publications

Classroom Behaviour of Talent Cultivation in Colleges and Universities Supported by Deep Learning Technology

Classroom Behaviour of Talent Cultivation in Colleges and Universities Supported by Deep Learning Technology

Retracted: Development Status and Influencing Factors of Competitive Basketball Management System under the Background of Deep Learning

Study of the influence of psychological mood on the performance and mental health of athletes in VR-aided basketball training

Contact Info

Product

Resources

About