Görick, D.; Schuster, A.; Larsen, L.; Welsch, J.; Karrasch, T.; Kupke, M.
New Input Factors for Machine Learning Approaches to Predict the Weld Quality of Ultrasonically Welded Thermoplastic Composite Materials. J. Manuf. Mater. Process. 2023, 7, 154.
https://doi.org/10.3390/jmmp7050154
AMA Style
Görick D, Schuster A, Larsen L, Welsch J, Karrasch T, Kupke M.
New Input Factors for Machine Learning Approaches to Predict the Weld Quality of Ultrasonically Welded Thermoplastic Composite Materials. Journal of Manufacturing and Materials Processing. 2023; 7(5):154.
https://doi.org/10.3390/jmmp7050154
Chicago/Turabian Style
Görick, Dominik, Alfons Schuster, Lars Larsen, Jonas Welsch, Tobias Karrasch, and Michael Kupke.
2023. "New Input Factors for Machine Learning Approaches to Predict the Weld Quality of Ultrasonically Welded Thermoplastic Composite Materials" Journal of Manufacturing and Materials Processing 7, no. 5: 154.
https://doi.org/10.3390/jmmp7050154
APA Style
Görick, D., Schuster, A., Larsen, L., Welsch, J., Karrasch, T., & Kupke, M.
(2023). New Input Factors for Machine Learning Approaches to Predict the Weld Quality of Ultrasonically Welded Thermoplastic Composite Materials. Journal of Manufacturing and Materials Processing, 7(5), 154.
https://doi.org/10.3390/jmmp7050154