APA (7th ed.) Citation

He, Z., Shi, T., & Chen, X. (2025). An Innovative Study for Tool Wear Prediction Based on Stacked Sparse Autoencoder and Ensemble Learning Strategy. Sensors (Basel, Switzerland), 25(8), 2391. https://doi.org/10.3390/s25082391

Chicago Style (17th ed.) Citation

He, Zhaopeng, Tielin Shi, and Xu Chen. "An Innovative Study for Tool Wear Prediction Based on Stacked Sparse Autoencoder and Ensemble Learning Strategy." Sensors (Basel, Switzerland) 25, no. 8 (2025): 2391. https://doi.org/10.3390/s25082391.

MLA (9th ed.) Citation

He, Zhaopeng, et al. "An Innovative Study for Tool Wear Prediction Based on Stacked Sparse Autoencoder and Ensemble Learning Strategy." Sensors (Basel, Switzerland), vol. 25, no. 8, 2025, p. 2391, https://doi.org/10.3390/s25082391.