Ferrando Chacón, J.L.; Fernández de Barrena, T.; GarcÃa, A.; Sáez de Buruaga, M.; Badiola, X.; Vicente, J.
A Novel Machine Learning-Based Methodology for Tool Wear Prediction Using Acoustic Emission Signals. Sensors 2021, 21, 5984.
https://doi.org/10.3390/s21175984
AMA Style
Ferrando Chacón JL, Fernández de Barrena T, GarcÃa A, Sáez de Buruaga M, Badiola X, Vicente J.
A Novel Machine Learning-Based Methodology for Tool Wear Prediction Using Acoustic Emission Signals. Sensors. 2021; 21(17):5984.
https://doi.org/10.3390/s21175984
Chicago/Turabian Style
Ferrando Chacón, Juan Luis, Telmo Fernández de Barrena, Ander GarcÃa, Mikel Sáez de Buruaga, Xabier Badiola, and Javier Vicente.
2021. "A Novel Machine Learning-Based Methodology for Tool Wear Prediction Using Acoustic Emission Signals" Sensors 21, no. 17: 5984.
https://doi.org/10.3390/s21175984
APA Style
Ferrando Chacón, J. L., Fernández de Barrena, T., GarcÃa, A., Sáez de Buruaga, M., Badiola, X., & Vicente, J.
(2021). A Novel Machine Learning-Based Methodology for Tool Wear Prediction Using Acoustic Emission Signals. Sensors, 21(17), 5984.
https://doi.org/10.3390/s21175984