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Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions2020 Sensors article Engineering Reliability and Maintenance Optimization Open access cited by 7 patents
Martin W. Hoffmann, Stephan Wildermuth, Ralf Gitzel, Aydin Boyaci, Jörg Gebhardt, Holger Kaul, +11 more
114citations -
End-to-End Reinforcement Learning of Curative Curtailment with Partial Measurement Availability2024 IEEE PES Innovative Smart Grid Technologies Europe conference-paper Engineering Optimal Power Flow Distribution
Hinrikus Wolf, Luis Böttcher, Sarra Bouchkati, Philipp Lutat, Jens Breitung, Bastian Jung, +5 more
0citations -
Multi agent reinforcement learning for online layout planning and scheduling in flexible assembly systems2024 Journal of Intelligent Manufacturing article Engineering Scheduling and Optimization Algorithms Open access cited by 2 patents
Lea Kaven, Philipp Huke, Amon Göppert, Robert Heinrich Schmitt
43citations -
Identification of Martensite Bands in Dual‐Phase Steels: A Deep Learning Object Detection Approach Using Faster Region‐Based‐Convolutional Neural Network2023 steel research international article Engineering Microstructure and Mechanical Properties of Steels Open access
Niklas C. Fehlemann, Ana Lia Suarez Aguilera, Stefan Sandfeld, Maximilian Neite, David Lenz, Markus Könemann, +1 more
9citations -
Deep reinforcement learning for simulating the strategic bidding behaviour of distributed flexibilities in smart markets2020 CIRED - Open Access Proceedings Journal article Engineering Smart Grid Energy Management Open access
Jacob Tran, P. Pfeifer, Kristian Berch, Simon Krahl, Albert Moser
2citations -
Efficient Integration of Distributed Learning Services in Next-Generation Wireless Networks2025 International Conference on Communications conference-paper Engineering Advanced Wireless Network Optimization Open access
Paul Zheng, Navid Keshtiarast, Pradyumna Kumar Bishoyi, Yao Lin Zhu, Yulin Hu, Marina Petrova, +1 more
0citations -
Deep Regularized Waveform Learning for Beam Prediction With Limited Samples in Non-Cooperative mmWave Systems2023 IEEE Transactions on Vehicular Technology article Engineering Millimeter-Wave Propagation and Modeling
Hao Huang, Guan Gui, Haris Gacanin, Chau Yuen, Hikmet Sari, Fumiyuki Adachi
30citations -
AI-based Framework for Deep Learning Applications in Grinding2020 IEEE World Symposium on Applied Machine Intelligence and Informatics (SAMI) conference-paper Engineering Advanced machining processes and optimization cited by 2 patents
Philipp Niemietz, Daniel Trauth, Wolfgang Maas, Thomas Bergs
14citations