Author:
Schoepflin Daniel,Holst Dirk,Gomse Martin,Schüppstuhl Thorsten
Funder
Bundesministerium fur Wirtschaft und Energie
Reference27 articles.
1. Digital twin-driven supervised machine learning for the development of artificial intelligence applications in manufacturing;Alexopoulos;International Journal of Computer Integrated Manufacturing,2020
2. Brucker, M., Durner, M., Márton, Z.C., Bálint-Benczédi, F., Sundermeyer, M., Triebel, R., 2020. 6DoF Pose Estimation for Industrial Manipulation Based on Synthetic Data, in: Proceedings of the 2018 International Symposium on Experimental Robotics, pp. 675–684.
3. Vision-blender: a tool to efficiently generate computer vision datasets for robotic surgery;Cartucho;Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization,2020
4. Digital reality: a model-based approach to supervised learning from synthetic data;Dahmen;AI Perspectives,2019
5. Deep learning for big data applications in cad and plm - research review, opportunities and case study;Dekhtiar;Computers in Industry,2018
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