Tunnel condition assessment via cloud model‐based random forests and self‐training approach

MLA

Hehua Zhu, et al. “Tunnel Condition Assessment via Cloud Model‐based Random Forests and Self‐training Approach.” Computer-Aided Civil and Infrastructure Engineering, vol. 36, Aug. 2020, pp. 164–79. EBSCOhost, https://doi.org/10.1111/mice.12601.

APA

Hehua Zhu, J. Woody Ju, Feng Guo, Mengqi Zhu, & Xueqin Chen. (2020). Tunnel condition assessment via cloud model‐based random forests and self‐training approach. Computer-Aided Civil and Infrastructure Engineering, 36, 164–179. https://doi.org/10.1111/mice.12601

Chicago

Hehua Zhu, J. Woody Ju, Feng Guo, Mengqi Zhu, and Xueqin Chen. 2020. “Tunnel Condition Assessment via Cloud Model‐based Random Forests and Self‐training Approach.” Computer-Aided Civil and Infrastructure Engineering 36 (August): 164–79. doi:10.1111/mice.12601.