Krolik, A.; Drelich, R.; Pakuła, M.; Mikołajewski, D.; Rojek, I.
Detection of Defects in Polyethylene and Polyamide Flat Panels Using Airborne Ultrasound-Traditional and Machine Learning Approach. Appl. Sci. 2024, 14, 10638.
https://doi.org/10.3390/app142210638
AMA Style
Krolik A, Drelich R, Pakuła M, Mikołajewski D, Rojek I.
Detection of Defects in Polyethylene and Polyamide Flat Panels Using Airborne Ultrasound-Traditional and Machine Learning Approach. Applied Sciences. 2024; 14(22):10638.
https://doi.org/10.3390/app142210638
Chicago/Turabian Style
Krolik, Artur, Radosław Drelich, Michał Pakuła, Dariusz Mikołajewski, and Izabela Rojek.
2024. "Detection of Defects in Polyethylene and Polyamide Flat Panels Using Airborne Ultrasound-Traditional and Machine Learning Approach" Applied Sciences 14, no. 22: 10638.
https://doi.org/10.3390/app142210638
APA Style
Krolik, A., Drelich, R., Pakuła, M., Mikołajewski, D., & Rojek, I.
(2024). Detection of Defects in Polyethylene and Polyamide Flat Panels Using Airborne Ultrasound-Traditional and Machine Learning Approach. Applied Sciences, 14(22), 10638.
https://doi.org/10.3390/app142210638