American Psychological Association 6th edition

Ma, K., Meng, X., Hao, M., Huang, G., Hu, Q., & He, P. (2023). Research on the Efficiency of Bridge Crack Detection by Coupling Deep Learning Frameworks with Convolutional Neural Networks. Sensors (14248220), 23(16), 7272-7288. https://doi.org/10.3390/s23167272

ISO-690 (author-date, English)

MA, Kaifeng, MENG, Xiang, HAO, Mengshu, HUANG, Guiping, HU, Qingfeng und HE, Peipei, 2023. Research on the Efficiency of Bridge Crack Detection by Coupling Deep Learning Frameworks with Convolutional Neural Networks. Sensors (14248220). 15 August 2023. Vol. 23, no. 16, p. 7272-7288. DOI 10.3390/s23167272.

Modern Language Association 9th edition

Ma, K., X. Meng, M. Hao, G. Huang, Q. Hu, und P. He. „Research on the Efficiency of Bridge Crack Detection by Coupling Deep Learning Frameworks With Convolutional Neural Networks.“. Sensors (14248220), Bd. 23, Nr. 16, August 2023, S. 7272-88, https://doi.org/10.3390/s23167272.

Mohr Siebeck - Recht (Deutsch - Österreich)

Ma, Kaifeng/Meng, Xiang/Hao, Mengshu/Huang, Guiping/Hu, Qingfeng/He, Peipei: Research on the Efficiency of Bridge Crack Detection by Coupling Deep Learning Frameworks with Convolutional Neural Networks., Sensors (14248220) 2023, 7272-7288.

Emerald - Harvard

Ma, K., Meng, X., Hao, M., Huang, G., Hu, Q. und He, P. (2023), „Research on the Efficiency of Bridge Crack Detection by Coupling Deep Learning Frameworks with Convolutional Neural Networks.“, Sensors (14248220), Vol. 23 No. 16, S. 7272-7288.

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