APA (7th ed.) Citation

Mobaraki, M., Ahani, S., Gonzalez, R., van Heusden, K., & Dumont, G. A. (2025). Multi-modal data improves real-time defect classification deep learning models for fillet joints in gas metal arc welding. International Journal of Advanced Manufacturing Technology, 138(11), 5309. https://doi.org/10.1007/s00170-025-15839-7

Chicago Style (17th ed.) Citation

Mobaraki, Mobina, Soodeh Ahani, Ringo Gonzalez, Klaske van Heusden, and Guy A. Dumont. "Multi-modal Data Improves Real-time Defect Classification Deep Learning Models for Fillet Joints in Gas Metal Arc Welding." International Journal of Advanced Manufacturing Technology 138, no. 11 (2025): 5309. https://doi.org/10.1007/s00170-025-15839-7.

MLA (9th ed.) Citation

Mobaraki, Mobina, et al. "Multi-modal Data Improves Real-time Defect Classification Deep Learning Models for Fillet Joints in Gas Metal Arc Welding." International Journal of Advanced Manufacturing Technology, vol. 138, no. 11, 2025, p. 5309, https://doi.org/10.1007/s00170-025-15839-7.