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Unlocking the potential of unlabeled data: Self-supervised machine learning for battery aging diagnosis with real-world field data2024 Journal of Energy Chemistry article Engineering Advanced Battery Technologies Research Open access
Qiao Wang, Min Ye, Sehriban Celik, Zhongwei Deng, Bin Li, Dirk Uwe Sauer, +1 more
32citations -
The potential of deep learning to reduce complexity in energy system modeling2021 International Journal of Energy Research article Engineering Integrated Energy Systems Optimization Open access
Clara Sophie Köhnen, Jan Priesmann, Lars Nolting, Leander Kotzur, Martin Robinius, Aaron Praktiknjo
15citations -
Task space adaptation via the learning of gait controllers of magnetic soft millirobots2021 The International Journal of Robotics Research article Engineering Soft Robotics and Applications Open access cited by 1 patent
Sinan Özgün Demir, Utku Çulha, Alp Can Karacakol, Abdon Pena‐Francesch, Sebastian Trimpe, Metin Sitti
33citations -
Interacting Federated and Transfer Learning-Aided CSI Prediction for Intelligent Cellular Networks2023 IEEE Transactions on Vehicular Technology article Engineering Advanced MIMO Systems Optimization cited by 1 patent
Jinlong Sun, Yibin Zhang, Guan Gui, Haitao Zhao, Haris Gacanin, Hikmet Sari
13citations -
Optimized Pulse Patterns Design for Electrical Drives: A Reinforcement Learning Approach2026 IEEE Open Journal of the Industrial Electronics Society article Engineering Electric Motor Design and Analysis Open access
Mohammad Abu-Ali, Felix Berkel, Maximilian Manderla, Markus Pietschner, Daniel Görges
0citations -
Induced network-based transfer learning in injection molding for process modelling and optimization with artificial neural networks97citations
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Compensating Environmental Disturbances in Maritime Path Following Using Deep Reinforcement Learning2026 Journal of Marine Science and Engineering article Engineering Maritime Navigation and Safety Open access
Björn Krautwig, Dominik Wans, Till Temmen, Tobias Brinkmann, Sung-Yong Lee, Daehyuk Kim, +1 more
1citations -
Adaptive Traffic Light Control With Deep Reinforcement Learning: An Evaluation of Traffic Flow and Energy Consumption2023 IEEE Transactions on Intelligent Transportation Systems article Engineering Traffic control and management
Lucas Koch, Tobias Brinkmann, Marius Wegener, Kevin Badalian, Jakob Andert
24citations -
Investigation of reinforcement learning for shape optimization of 2D profile extrusion die geometries2023 Advances in Computational Science and Engineering article Engineering Topology Optimization in Engineering Open access
Clemens Fricke, Daniel Wolff, Marco Kemmerling, Stefanie Elgeti
7citations