Citations refer to the original publication, not to a Scieee localized version.
Bründl, P., Scheffler, B., Stoidner, M., Nguyen, H., Baechler, A., Abrass, A., & Franke, J. (2023). Semantic part segmentation of spatial features via geometric deep learning for automated control cabinet assembly. Journal of Intelligent Manufacturing, 35(8), 3681–3695. https://doi.org/10.1007/s10845-023-02267-1
Bründl, Patrick, et al. “Semantic part segmentation of spatial features via geometric deep learning for automated control cabinet assembly.” Journal of Intelligent Manufacturing, vol. 35, no. 8, 2023, pp. 3681–3695. https://doi.org/10.1007/s10845-023-02267-1.
Bründl, Patrick, Benedikt Scheffler, Micha Stoidner, Huong Nguyen, Andreas Baechler, Ahmad Abrass, and Jörg Franke. “Semantic part segmentation of spatial features via geometric deep learning for automated control cabinet assembly.” Journal of Intelligent Manufacturing 35, no. 8 (2023): 3681–3695. https://doi.org/10.1007/s10845-023-02267-1.
Bründl, P. et al. (2023) ‘Semantic part segmentation of spatial features via geometric deep learning for automated control cabinet assembly’, Journal of Intelligent Manufacturing, 35(8), pp. 3681–3695. Available at: https://doi.org/10.1007/s10845-023-02267-1.
P. Bründl et al., “Semantic part segmentation of spatial features via geometric deep learning for automated control cabinet assembly,” Journal of Intelligent Manufacturing, vol. 35, no. 8, pp. 3681–3695, 2023, doi: 10.1007/s10845-023-02267-1.
@article{brundl2023semantic,
author = {Bründl, Patrick and Scheffler, Benedikt and Stoidner, Micha and Nguyen, Huong and Baechler, Andreas and Abrass, Ahmad and Franke, Jörg},
title = {Semantic part segmentation of spatial features via geometric deep learning for automated control cabinet assembly},
journal = {Journal of Intelligent Manufacturing},
year = {2023},
volume = {35},
number = {8},
pages = {3681--3695},
publisher = {New York, NY: Springer US,New York, NY: Springer US},
doi = {10.1007/s10845-023-02267-1},
url = {https://doi.org/10.1007/s10845-023-02267-1}
}
