American Psychological Association 6th edition

Si, C., Zhao, Y., Wang, C., Guo, W., Mu, Y., & Liang, F. (2025). Investigation into enabling machine vision and machine learning technologies for surface defect detection of pit support systems. AI in Civil Engineering, 4(1), 1-16. https://doi.org/10.1007/s43503-025-00077-3

ISO-690 (author-date, English)

SI, Chuanqi, ZHAO, Yingfu, WANG, Chen, GUO, Wenxiu, MU, Yabin und LIANG, Fayun, 2025. Investigation into enabling machine vision and machine learning technologies for surface defect detection of pit support systems. AI in Civil Engineering. 15 Dezember 2025. Vol. 4, no. 1, p. 1-16. DOI 10.1007/s43503-025-00077-3.

Modern Language Association 9th edition

Si, C., Y. Zhao, C. Wang, W. Guo, Y. Mu, und F. Liang. „Investigation into Enabling Machine Vision and Machine Learning Technologies for Surface Defect Detection of Pit Support Systems.“. AI in Civil Engineering, Bd. 4, Nr. 1, Dezember 2025, S. 1-16, https://doi.org/10.1007/s43503-025-00077-3.

Mohr Siebeck - Recht (Deutsch - Österreich)

Si, Chuanqi/Zhao, Yingfu/Wang, Chen/Guo, Wenxiu/Mu, Yabin/Liang, Fayun: Investigation into enabling machine vision and machine learning technologies for surface defect detection of pit support systems., AI in Civil Engineering 2025, 1-16.

Emerald - Harvard

Si, C., Zhao, Y., Wang, C., Guo, W., Mu, Y. und Liang, F. (2025), „Investigation into enabling machine vision and machine learning technologies for surface defect detection of pit support systems.“, AI in Civil Engineering, Vol. 4 No. 1, S. 1-16.

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