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Hannes Vietz
Hannes Vietz
Wissenschaftlicher Mitarbeiter, Institut für Automatisierungstechnik und Softwaresysteme, Universität Stuttgart
Verified email at ias.uni-stuttgart.de
Title
Cited by
Cited by
Year
A survey on long short-term memory networks for time series prediction
B Lindemann, T Müller, H Vietz, N Jazdi, M Weyrich
Procedia Cirp 99, 650-655, 2021
2452021
Continual learning of fault prediction for turbofan engines using deep learning with elastic weight consolidation
B Maschler, H Vietz, N Jazdi, M Weyrich
2020 25th IEEE international conference on emerging technologies and factory …, 2020
462020
Data administration shell for data-science-driven development
A Löcklin, H Vietz, D White, T Ruppert, N Jazdi, M Weyrich
Procedia CIRP 100, 115-120, 2021
202021
Insights and example use cases on industrial transfer learning
B Maschler, H Vietz, H Tercan, C Bitter, T Meisen, M Weyrich
Procedia CIRP 107, 511-516, 2022
182022
Deep learning-based 5G indoor positioning in a manufacturing environment
H Vietz, A Löcklin, HBH Ammar, M Weyrich
2022 IEEE 27th International Conference on Emerging Technologies and Factory …, 2022
72022
A methodology to identify cognition gaps in visual recognition applications based on convolutional neural networks
H Vietz, T Rauch, A Löcklin, N Jazdi, M Weyrich
2021 IEEE 17th International Conference on Automation Science and …, 2021
52021
Trajectory Prediction of Moving Workers for Autonomous Mobile Robots on the Shop Floor
A Löcklin, M Artelt, T Ruppert, H Vietz, N Jazdi, M Weyrich
2022 IEEE 27th International Conference on Emerging Technologies and Factory …, 2022
42022
Synthetic training data generation for convolutional neural networks in vision applications
H Vietz, T Rauch, M Weyrich
2022 IEEE 27th International Conference on Emerging Technologies and Factory …, 2022
22022
An approach to automatically generate test cases for AI-based autonomous heavy machinery
I Sonji, H Vietz, C Ebert, M Weyrich
9. AutoTest Fachkonferenz, 2022
12022
Synthetic Data Generation for improving Deep Learning-based 5G Indoor Positioning
H Vietz, M Hirth, S Baum, M Weyrich
2023 IEEE 28th International Conference on Emerging Technologies and Factory …, 2023
2023
AI-Based Testing for Autonomous Vehicles
C Ebert, M Weyrich, H Vietz
SAE Technical Paper, 2023
2023
5G Indoor Positioning for Manufacturing using Convolutional Neural Networks
H Vietz, HBH Ammar, S Baum, N Jazdi, M Weyrich
Procedia CIRP 120, 1191-1196, 2023
2023
Industrielles Transfer-Lernen: Von der Wissenschaft in die Praxis
H Vietz, B Maschler, H Tercan, C Bitter, T Meisen, M Weyrich
atp magazin 64 (8), 86-93, 2022
2022
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