Muñoz-Rodenas, J.; GarcÃa-Sevilla, F.; Coello-Sobrino, J.; MartÃnez-MartÃnez, A.; Miguel-EguÃa, V.
Effectiveness of Machine-Learning and Deep-Learning Strategies for the Classification of Heat Treatments Applied to Low-Carbon Steels Based on Microstructural Analysis. Appl. Sci. 2023, 13, 3479.
https://doi.org/10.3390/app13063479
AMA Style
Muñoz-Rodenas J, GarcÃa-Sevilla F, Coello-Sobrino J, MartÃnez-MartÃnez A, Miguel-EguÃa V.
Effectiveness of Machine-Learning and Deep-Learning Strategies for the Classification of Heat Treatments Applied to Low-Carbon Steels Based on Microstructural Analysis. Applied Sciences. 2023; 13(6):3479.
https://doi.org/10.3390/app13063479
Chicago/Turabian Style
Muñoz-Rodenas, Jorge, Francisco GarcÃa-Sevilla, Juana Coello-Sobrino, Alberto MartÃnez-MartÃnez, and ValentÃn Miguel-EguÃa.
2023. "Effectiveness of Machine-Learning and Deep-Learning Strategies for the Classification of Heat Treatments Applied to Low-Carbon Steels Based on Microstructural Analysis" Applied Sciences 13, no. 6: 3479.
https://doi.org/10.3390/app13063479
APA Style
Muñoz-Rodenas, J., GarcÃa-Sevilla, F., Coello-Sobrino, J., MartÃnez-MartÃnez, A., & Miguel-EguÃa, V.
(2023). Effectiveness of Machine-Learning and Deep-Learning Strategies for the Classification of Heat Treatments Applied to Low-Carbon Steels Based on Microstructural Analysis. Applied Sciences, 13(6), 3479.
https://doi.org/10.3390/app13063479
