APA (7th ed.) Citation

Zhou, C., Zhang, K., Xu, J., Guo, K., Liu, X., Hu, B., & Wang, G. (2025). Tool wear monitoring for robotic milling based on multi-dimensional stacked sparse autoencoders and bidirectional LSTM networks with singularity features. The International Journal of Advanced Manufacturing Technology, 1. https://doi.org/10.1007/s00170-025-15026-8

Chicago Style (17th ed.) Citation

Zhou, Chang’an, Kaixing Zhang, Jiawei Xu, Kai Guo, Xin Liu, Bingyin Hu, and Gang Wang. "Tool Wear Monitoring for Robotic Milling Based on Multi-dimensional Stacked Sparse Autoencoders and Bidirectional LSTM Networks with Singularity Features." The International Journal of Advanced Manufacturing Technology 2025: 1. https://doi.org/10.1007/s00170-025-15026-8.

MLA (9th ed.) Citation

Zhou, Chang’an, et al. "Tool Wear Monitoring for Robotic Milling Based on Multi-dimensional Stacked Sparse Autoencoders and Bidirectional LSTM Networks with Singularity Features." The International Journal of Advanced Manufacturing Technology, 2025, p. 1, https://doi.org/10.1007/s00170-025-15026-8.