Cite
A Hybrid Deep Learning Model as the Digital Twin of Ultra-Precision Diamond Cutting for In-Process Prediction of Cutting-Tool Wear.
MLA
Wu, Lei, et al. “A Hybrid Deep Learning Model as the Digital Twin of Ultra-Precision Diamond Cutting for In-Process Prediction of Cutting-Tool Wear.” Applied Sciences (2076-3417), vol. 13, no. 11, June 2023, p. 6675. EBSCOhost, https://doi.org/10.3390/app13116675.
APA
Wu, L., Sha, K., Tao, Y., Ju, B., & Chen, Y. (2023). A Hybrid Deep Learning Model as the Digital Twin of Ultra-Precision Diamond Cutting for In-Process Prediction of Cutting-Tool Wear. Applied Sciences (2076-3417), 13(11), 6675. https://doi.org/10.3390/app13116675
Chicago
Wu, Lei, Kaijie Sha, Ye Tao, Bingfeng Ju, and Yuanliu Chen. 2023. “A Hybrid Deep Learning Model as the Digital Twin of Ultra-Precision Diamond Cutting for In-Process Prediction of Cutting-Tool Wear.” Applied Sciences (2076-3417) 13 (11): 6675. doi:10.3390/app13116675.