APA (7th ed.) Citation

Ji, A., Chew, A. W. Z., Xue, X., & Zhang, L. (2022). An encoder-decoder deep learning method for multi-class object segmentation from 3D tunnel point clouds. Automation in construction, 137, 104187. https://doi.org/10.1016/j.autcon.2022.104187

Chicago Style (17th ed.) Citation

Ji, Ankang, Alvin Wei Ze Chew, Xiaolong Xue, and Limao Zhang. "An Encoder-decoder Deep Learning Method for Multi-class Object Segmentation from 3D Tunnel Point Clouds." Automation in Construction 137 (2022): 104187. https://doi.org/10.1016/j.autcon.2022.104187.

MLA (9th ed.) Citation

Ji, Ankang, et al. "An Encoder-decoder Deep Learning Method for Multi-class Object Segmentation from 3D Tunnel Point Clouds." Automation in Construction, vol. 137, 2022, p. 104187, https://doi.org/10.1016/j.autcon.2022.104187.