APA (7th ed.) Citation

Chang, Y., Zhang, X., Song, S., Song, Q., & Shen, Y. (2023). Rail crack defect recognition based on a multi-feature fusion algorithm using electromagnetic acoustic emission technique. Measurement science & technology, 34(11), 115002. https://doi.org/10.1088/1361-6501/ace840

Chicago Style (17th ed.) Citation

Chang, Yongqi, Xin Zhang, Shuzhi Song, Qinghua Song, and Yi Shen. "Rail Crack Defect Recognition Based on a Multi-feature Fusion Algorithm Using Electromagnetic Acoustic Emission Technique." Measurement Science & Technology 34, no. 11 (2023): 115002. https://doi.org/10.1088/1361-6501/ace840.

MLA (9th ed.) Citation

Chang, Yongqi, et al. "Rail Crack Defect Recognition Based on a Multi-feature Fusion Algorithm Using Electromagnetic Acoustic Emission Technique." Measurement Science & Technology, vol. 34, no. 11, 2023, p. 115002, https://doi.org/10.1088/1361-6501/ace840.