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 editionSi, 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 - HarvardSi, 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.