Article Versions Notes

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

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

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