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Sport training damage prevention based on hybrid image retrieval scheme
1School of Physical Education and Health Science, Mudanjiang Normal University, Mudanjiang 157011, China.
Preventive Medicine
|July 15, 2023
Summary
This study introduces a novel Hash model for web services to enhance user satisfaction and training speed. It also investigates sports injury risk factors in college athletes to promote safer physical activity.
Area of Science:
- Computer Science
- Sports Medicine
Background:
- Web service technology requires optimization for user satisfaction.
- Understanding and mitigating sports injuries in college athletes is crucial for their development.
Purpose of the Study:
- To propose an improved Hash model for web services to enhance user satisfaction and model training efficiency.
- To identify risk factors and preventive measures for sports injuries in college students.
Main Methods:
- Developed a Hash model incorporating a hash layer to reduce nodes and optimize network parameters.
- Analyzed risk factors associated with high-intensity sports to understand injury characteristics.
Main Results:
- The proposed Hash model accelerates web service training and improves learning rates.
- Identified key factors contributing to sports injuries in college athletes.
Conclusions:
- The Hash model offers significant improvements for web service applications, particularly in campus environments.
- Implementing identified precautions can effectively reduce sports injuries among college athletes, supporting their overall physical development.
