Rojek, I.; Kopowski, J.; Kotlarz, P.; Dorożyński, J.; Dostatni, E.; Mikołajewski, D.
Deep Learning in Design of Semi-Automated 3D Printed Chainmail with Pre-Programmed Directional Functions for Hand Exoskeleton. Appl. Sci. 2022, 12, 8106.
https://doi.org/10.3390/app12168106
AMA Style
Rojek I, Kopowski J, Kotlarz P, Dorożyński J, Dostatni E, Mikołajewski D.
Deep Learning in Design of Semi-Automated 3D Printed Chainmail with Pre-Programmed Directional Functions for Hand Exoskeleton. Applied Sciences. 2022; 12(16):8106.
https://doi.org/10.3390/app12168106
Chicago/Turabian Style
Rojek, Izabela, Jakub Kopowski, Piotr Kotlarz, Janusz Dorożyński, Ewa Dostatni, and Dariusz Mikołajewski.
2022. "Deep Learning in Design of Semi-Automated 3D Printed Chainmail with Pre-Programmed Directional Functions for Hand Exoskeleton" Applied Sciences 12, no. 16: 8106.
https://doi.org/10.3390/app12168106
APA Style
Rojek, I., Kopowski, J., Kotlarz, P., Dorożyński, J., Dostatni, E., & Mikołajewski, D.
(2022). Deep Learning in Design of Semi-Automated 3D Printed Chainmail with Pre-Programmed Directional Functions for Hand Exoskeleton. Applied Sciences, 12(16), 8106.
https://doi.org/10.3390/app12168106