Yuncheng Zhang
Biographic Data
| ID | 6948336 |
|---|---|
| NAME | Yuncheng Zhang |
| GIVEN NAMES | Yuncheng |
| FAMILY NAME | Zhang |
| SIGNATURE | ZHANG Y |
| AFFILIATIONS | Yan'an University |
| ORCID | 0000-0001-6467-3667 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Sexual attitudes, behaviors, and knowledge, attitudes, and practices on infectious disease among only-child and non-only-child college students
Only-child and non-only-child college students in China show broadly similar sexual attitudes, behaviors, and infectious disease KAP, with only modest differences in attitudinal domains. Therefore, health education does not need to be individualized based on sibling status; instead, universal and standardized interventions should be prioritized for all college students.
Faster, more accurate? A feasibility study on replacing human judges with artificial intelligence in video review for the Paris Olympics Taekwondo competition
Introduction This study explores the potential of artificial intelligence (AI) to enhance the accuracy and efficiency of video review systems in Taekwondo, addressing limitations in current human-based judgment processes during competitions. Methods A total of 241 video review cases from the 2024 Paris Olympic Taekwondo competition were analyzed. AI-based judgments were generated using ChatGPT-4.5 and OpenPose deep learning models. The AI-generat…
No prominent works on this page.
Faster, more accurate? A feasibility study on replacing human judges with artificial intelligence in video review for the Paris Olympics Taekwondo competition
Introduction This study explores the potential of artificial intelligence (AI) to enhance the accuracy and efficiency of video review systems in Taekwondo, addressing limitations in current human-based judgment processes during competitions. Methods A total of 241 video review cases from the 2024 Paris Olympic Taekwondo competition were analyzed. AI-based judgments were generated using ChatGPT-4.5 and OpenPose deep learning models. The AI-generat…
Sexual attitudes, behaviors, and knowledge, attitudes, and practices on infectious disease among only-child and non-only-child college students
Only-child and non-only-child college students in China show broadly similar sexual attitudes, behaviors, and infectious disease KAP, with only modest differences in attitudinal domains. Therefore, health education does not need to be individualized based on sibling status; instead, universal and standardized interventions should be prioritized for all college students.
Adolescent Sexual and Reproductive Health (1 works) · Artificial Intelligence (1 works) · Artificial Intelligence Applications (1 works) · Artificial Intelligence in Healthcare and Education (1 works) · Biology (1 works) · China (1 works) · Competition (biology (1 works) · Computer Science (1 works) · Disease (1 works) · Engineering (1 works)