Herold, M.; Ahmeti, E.; Kolakaleti, N.S.T.; Odabasi, C.; Koller, J.; Döpper, F.
Alleviate Data Scarcity in Remanufacturing: Classifying the Reusability of Parts with Data-Efficient Generative Adversarial Networks (DE-GANs). Appl. Sci. 2025, 15, 9833.
https://doi.org/10.3390/app15179833
AMA Style
Herold M, Ahmeti E, Kolakaleti NST, Odabasi C, Koller J, Döpper F.
Alleviate Data Scarcity in Remanufacturing: Classifying the Reusability of Parts with Data-Efficient Generative Adversarial Networks (DE-GANs). Applied Sciences. 2025; 15(17):9833.
https://doi.org/10.3390/app15179833
Chicago/Turabian Style
Herold, Maximilian, Engjëll Ahmeti, Naga Sai Teja Kolakaleti, Cagatay Odabasi, Jan Koller, and Frank Döpper.
2025. "Alleviate Data Scarcity in Remanufacturing: Classifying the Reusability of Parts with Data-Efficient Generative Adversarial Networks (DE-GANs)" Applied Sciences 15, no. 17: 9833.
https://doi.org/10.3390/app15179833
APA Style
Herold, M., Ahmeti, E., Kolakaleti, N. S. T., Odabasi, C., Koller, J., & Döpper, F.
(2025). Alleviate Data Scarcity in Remanufacturing: Classifying the Reusability of Parts with Data-Efficient Generative Adversarial Networks (DE-GANs). Applied Sciences, 15(17), 9833.
https://doi.org/10.3390/app15179833