Senjoba, L.; Ikeda, H.; Toriya, H.; Adachi, T.; Kawamura, Y.
Enhancing Interpretability in Drill Bit Wear Analysis through Explainable Artificial Intelligence: A Grad-CAM Approach. Appl. Sci. 2024, 14, 3621.
https://doi.org/10.3390/app14093621
AMA Style
Senjoba L, Ikeda H, Toriya H, Adachi T, Kawamura Y.
Enhancing Interpretability in Drill Bit Wear Analysis through Explainable Artificial Intelligence: A Grad-CAM Approach. Applied Sciences. 2024; 14(9):3621.
https://doi.org/10.3390/app14093621
Chicago/Turabian Style
Senjoba, Lesego, Hajime Ikeda, Hisatoshi Toriya, Tsuyoshi Adachi, and Youhei Kawamura.
2024. "Enhancing Interpretability in Drill Bit Wear Analysis through Explainable Artificial Intelligence: A Grad-CAM Approach" Applied Sciences 14, no. 9: 3621.
https://doi.org/10.3390/app14093621
APA Style
Senjoba, L., Ikeda, H., Toriya, H., Adachi, T., & Kawamura, Y.
(2024). Enhancing Interpretability in Drill Bit Wear Analysis through Explainable Artificial Intelligence: A Grad-CAM Approach. Applied Sciences, 14(9), 3621.
https://doi.org/10.3390/app14093621