Przybyś-Małaczek, A.; Antoniuk, I.; Szymanowski, K.; Kruk, M.; Sieradzki, A.; Dohojda, A.; Szopa, P.; Kurek, J.
Comparative Study of Conventional Machine Learning versus Deep Learning-Based Approaches for Tool Condition Assessments in Milling Processes. Appl. Sci. 2024, 14, 5913.
https://doi.org/10.3390/app14135913
AMA Style
Przybyś-Małaczek A, Antoniuk I, Szymanowski K, Kruk M, Sieradzki A, Dohojda A, Szopa P, Kurek J.
Comparative Study of Conventional Machine Learning versus Deep Learning-Based Approaches for Tool Condition Assessments in Milling Processes. Applied Sciences. 2024; 14(13):5913.
https://doi.org/10.3390/app14135913
Chicago/Turabian Style
Przybyś-Małaczek, Agata, Izabella Antoniuk, Karol Szymanowski, Michał Kruk, Alexander Sieradzki, Adam Dohojda, Przemysław Szopa, and Jarosław Kurek.
2024. "Comparative Study of Conventional Machine Learning versus Deep Learning-Based Approaches for Tool Condition Assessments in Milling Processes" Applied Sciences 14, no. 13: 5913.
https://doi.org/10.3390/app14135913
APA Style
Przybyś-Małaczek, A., Antoniuk, I., Szymanowski, K., Kruk, M., Sieradzki, A., Dohojda, A., Szopa, P., & Kurek, J.
(2024). Comparative Study of Conventional Machine Learning versus Deep Learning-Based Approaches for Tool Condition Assessments in Milling Processes. Applied Sciences, 14(13), 5913.
https://doi.org/10.3390/app14135913