APA (7th ed.) Citation

Yuan, D., Zhu, K., Liang, D., Li, Q., & Wang, S. (2026). Hybrid knowledge-based deep learning method for tool wear state monitoring. Journal of Intelligent Manufacturing, 37(4), 1733. https://doi.org/10.1007/s10845-025-02618-0

Chicago Style (17th ed.) Citation

Yuan, Dezhi, Kunpeng Zhu, Dongpeng Liang, Qiankun Li, and Shuo Wang. "Hybrid Knowledge-based Deep Learning Method for Tool Wear State Monitoring." Journal of Intelligent Manufacturing 37, no. 4 (2026): 1733. https://doi.org/10.1007/s10845-025-02618-0.

MLA (9th ed.) Citation

Yuan, Dezhi, et al. "Hybrid Knowledge-based Deep Learning Method for Tool Wear State Monitoring." Journal of Intelligent Manufacturing, vol. 37, no. 4, 2026, p. 1733, https://doi.org/10.1007/s10845-025-02618-0.