Dr. Bernd Waschneck
Cited by
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Optimization of global production scheduling with deep reinforcement learning
B Waschneck, A Reichstaller, L Belzner, T Altenmüller, T Bauernhansl, ...
Procedia Cirp 72, 1264-1269, 2018
Production Scheduling in Complex Job Shops from an Industry 4.0 Perspective: A Review and Challenges in the Semiconductor Industry.
B Waschneck, T Altenmüller, T Bauernhansl, A Kyek
SAMI@ iKNOW, 1-12, 2016
Deep reinforcement learning for semiconductor production scheduling
B Waschneck, A Reichstaller, L Belzner, T Altenmüller, T Bauernhansl, ...
2018 29th annual SEMI advanced semiconductor manufacturing conference (ASMC …, 2018
Small-footprint keyword spotting on raw audio data with sinc-convolutions
S Mittermaier, L Kürzinger, B Waschneck, G Rigoll
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
Reinforcement learning for an intelligent and autonomous production control of complex job-shops under time constraints
T Altenmüller, T Stüker, B Waschneck, A Kuhnle, G Lanza
Production Engineering, 1-10, 2020
Toward combined transport and optical studies of the 0.7‐anomaly in a quantum point contact
E Schubert, J Heyder, F Bauer, B Waschneck, W Stumpf, W Wegscheider, ...
physica status solidi (b) 251 (9), 1931-1937, 2014
Unified frontend and backend industrie 4.0 roadmap for semiconductor manufacturing
B Waschneck, LWF Brian, KCW Benny, C Rippler, G Schmid
SamI40–2nd International Workshop on Science, Application and Methods in …, 2017
Concept and Possible Application of an Automated Framework to Influence Production Dispatch Based on Supply Chain Events
D Bauer, F Maier, T Bauernhansl, B Waschneck, T Ponsignon, D Gürster, ...
7th IESM Conference, 2017
Compiler Toolchains for Deep Learning Workloads on Embedded Platforms
M Sponner, B Waschneck, A Kumar
arXiv preprint arXiv:2104.04576, 2021
Case Study on Operator Compliance to Scheduling Decisions in Semiconductor Manufacturing
B Waschneck, T Altenmüller, T Bauernhansl, A Kyek
14th IEEE International Conference on Automation Science and Engineering (CASE), 2018
Squeeze-and-Threshold Based Quantization for Low-Precision Neural Networks
B Wu, B Waschneck, C Mayr
International Conference on Engineering Applications of Neural Networks, 232-243, 2021
BLOwing Trees to the Ground: Layout Optimization of Decision Trees on Racetrack Memory
C Hakert, AA Khan, KH Chen, F Hameed, J Castrillon, JJ Chen
Autonome Entscheidungsfindung in der Produktionssteuerung komplexer Werkstattfertigungen
B Waschneck
Stuttgart: Fraunhofer Verlag, 2020
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Articles 1–13