Cite
Fog computing-enabled adaptive prognosis of cutting tool remaining life through multi-source data.
MLA
Liang, Yuchen, et al. “Fog Computing-Enabled Adaptive Prognosis of Cutting Tool Remaining Life through Multi-Source Data.” Journal of Computational Design & Engineering, vol. 11, no. 6, Dec. 2024, pp. 180–92. EBSCOhost, https://doi.org/10.1093/jcde/qwae098.
APA
Liang, Y., Wang, Y., Gu, C., Tang, J., & Pang, X. (2024). Fog computing-enabled adaptive prognosis of cutting tool remaining life through multi-source data. Journal of Computational Design & Engineering, 11(6), 180–192. https://doi.org/10.1093/jcde/qwae098
Chicago
Liang, Yuchen, Yuqi Wang, Chengyi Gu, Jie Tang, and Xianjuan Pang. 2024. “Fog Computing-Enabled Adaptive Prognosis of Cutting Tool Remaining Life through Multi-Source Data.” Journal of Computational Design & Engineering 11 (6): 180–92. doi:10.1093/jcde/qwae098.