American Psychological Association 6th edition

Ren, Z., Yao, K., Sheng, S., Wang, B., Lang, X., Wan, D., & Fu, W. (2025). YOLO-SDH: improved YOLOv5 using scaled decoupled head for object detection. International Journal of Machine Learning and Cybernetics, 16(3), 1643-1660. https://doi.org/10.1007/s13042-024-02357-3

ISO-690 (author-date, English)

REN, Zhijie, YAO, Kang, SHENG, Silong, WANG, Beibei, LANG, Xianli, WAN, Dahang und FU, Weiwei, 2025. YOLO-SDH: improved YOLOv5 using scaled decoupled head for object detection. International Journal of Machine Learning and Cybernetics. 1 März 2025. Vol. 16, no. 3, p. 1643-1660. DOI 10.1007/s13042-024-02357-3.

Modern Language Association 9th edition

Ren, Z., K. Yao, S. Sheng, B. Wang, X. Lang, D. Wan, und W. Fu. „YOLO-SDH: Improved YOLOv5 Using Scaled Decoupled Head for Object Detection“. International Journal of Machine Learning and Cybernetics, Bd. 16, Nr. 3, März 2025, S. 1643-60, https://doi.org/10.1007/s13042-024-02357-3.

Mohr Siebeck - Recht (Deutsch - Österreich)

Ren, Zhijie/Yao, Kang/Sheng, Silong/Wang, Beibei/Lang, Xianli/Wan, Dahang u. a.: YOLO-SDH: improved YOLOv5 using scaled decoupled head for object detection, International Journal of Machine Learning and Cybernetics 2025, 1643-1660.

Emerald - Harvard

Ren, Z., Yao, K., Sheng, S., Wang, B., Lang, X., Wan, D. und Fu, W. (2025), „YOLO-SDH: improved YOLOv5 using scaled decoupled head for object detection“, International Journal of Machine Learning and Cybernetics, Vol. 16 No. 3, S. 1643-1660.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.