APA (7th ed.) Citation

Chun, P. J., Suzuki, M., & Kato, Y. (2023). Iterative application of generative adversarial networks for improved buried pipe detection from images obtained by ground‐penetrating radar. Computer-aided civil and infrastructure engineering, 38(17), 2472-2490. https://doi.org/10.1111/mice.13070

Chicago Style (17th ed.) Citation

Chun, Pang Jo, M. Suzuki, and Y. Kato. "Iterative Application of Generative Adversarial Networks for Improved Buried Pipe Detection from Images Obtained by Ground‐penetrating Radar." Computer-aided Civil and Infrastructure Engineering 38, no. 17 (2023): 2472-2490. https://doi.org/10.1111/mice.13070.

MLA (9th ed.) Citation

Chun, Pang Jo, et al. "Iterative Application of Generative Adversarial Networks for Improved Buried Pipe Detection from Images Obtained by Ground‐penetrating Radar." Computer-aided Civil and Infrastructure Engineering, vol. 38, no. 17, 2023, pp. 2472-2490, https://doi.org/10.1111/mice.13070.