APA (7th ed.) Citation

Sicard, D., Briois, P., Billard, A., Thevenot, J., Boichut, E., Chapellier, J., & Bernard, F. (2022). Deep Learning and Bayesian Hyperparameter Optimization: A Data-Driven Approach for Diamond Grit Segmentation toward Grinding Wheel Characterization. Applied sciences, 12(24), 12606. https://doi.org/10.3390/app122412606

Chicago Style (17th ed.) Citation

Sicard, Damien, Pascal Briois, Alain Billard, Jérôme Thevenot, Eric Boichut, Julien Chapellier, and Frédéric Bernard. "Deep Learning and Bayesian Hyperparameter Optimization: A Data-Driven Approach for Diamond Grit Segmentation Toward Grinding Wheel Characterization." Applied Sciences 12, no. 24 (2022): 12606. https://doi.org/10.3390/app122412606.

MLA (9th ed.) Citation

Sicard, Damien, et al. "Deep Learning and Bayesian Hyperparameter Optimization: A Data-Driven Approach for Diamond Grit Segmentation Toward Grinding Wheel Characterization." Applied Sciences, vol. 12, no. 24, 2022, p. 12606, https://doi.org/10.3390/app122412606.