Cite
Using deep learning to identify the depth of metal surface defects with narrowband SAW signals.
MLA
Ding, Lei, et al. “Using Deep Learning to Identify the Depth of Metal Surface Defects with Narrowband SAW Signals.” Optics & Laser Technology, vol. 157, Jan. 2023, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.optlastec.2022.108758.
APA
Ding, L., Wan, H., Lu, Q., Chen, Z., Jia, K., Ge, J., Yan, X., Xu, X., Ma, G., Chen, X., Zhang, H., Li, G., Lu, M., & Chen, Y. (2023). Using deep learning to identify the depth of metal surface defects with narrowband SAW signals. Optics & Laser Technology, 157, N.PAG. https://doi.org/10.1016/j.optlastec.2022.108758
Chicago
Ding, Lei, Haopeng Wan, Qiangbing Lu, Zhiheng Chen, Kangning Jia, Junyan Ge, Xuejun Yan, et al. 2023. “Using Deep Learning to Identify the Depth of Metal Surface Defects with Narrowband SAW Signals.” Optics & Laser Technology 157 (January): N.PAG. doi:10.1016/j.optlastec.2022.108758.