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 editionMa, 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 - HarvardMa, 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.