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Papers matching “learning potential” 218

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Unlocking the potential of unlabeled data: Self-supervised machine learning for battery aging diagnosis with real-world field data
2024 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

32

citations
The potential of deep learning to reduce complexity in energy system modeling
2021 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

15

citations
Deep representation learning and reinforcement learning for workpiece setup optimization in CNC milling
2023 Production Engineering article Engineering Manufacturing Process and Optimization Open access

Владимир Самсонов, Enslin Chrismarie, Hans-Georg Köpken, Schirin Bär, Daniel Lütticke, Tobias Meisen

14

citations
Operational greenhouse-gas emissions of deep learning in digital pathology: a modelling study
2023 The Lancet Digital Health article Engineering Green IT and Sustainability Open access

Alireza Vafaei Sadr, Roman David Bülow, Saskia Freifrau von Stillfried, Nikolas E. J. Schmitz, Pourya Pilva, David Laurin Hölscher, +3 more

39

citations
Advanced deep learning approaches and potentials in the construction sector
2025 RWTH Publications (RWTH Aachen) dissertation Engineering BIM and Construction Integration Open access

Davide Picchi

0

citations
Adapting technology learning curves for prospective techno-economic and life cycle assessments of emerging carbon and utilization pathways
2022 TNO Repository article Engineering Carbon Dioxide Capture Technologies Open access

G. Faber, A. Ruttinger, T. Strunge, T. Langhorst, M.K. van der Hulst, F. Bensebaa, +1 more

0

citations
Point2Vec for Self-Supervised Representation Learning on Point Clouds
2023 arXiv (Cornell University) preprint Engineering 3D Shape Modeling and Analysis Open access

Jonas Schult, Alexander Hermans, Bastian Leibe

8

citations
Sequence learning in a spiking neuronal network with memristive synapses
2023 Neuromorphic Computing and Engineering article Engineering Advanced Memory and Neural Computing Open access

Younes Bouhadjar, Sebastian Siegel, Tom Tetzlaff, Markus Diesmann, Rainer Waser, Dirk J. Wouters

4

citations
Battery aging-aware vehicle-to-grid control in home charging systems via deep reinforcement learning
2025 RWTH Publications (RWTH Aachen) dissertation Engineering Electric Vehicles and Infrastructure Open access

Jingyu Gong

0

citations
Sequence learning in a spiking neuronal network with memristive synapses
2022 JuSER (Forschungszentrum Jülich) article Engineering Advanced Memory and Neural Computing Open access

Younes Bouhadjar, Sebastian Siegel, Tom Tetzlaff, Markus Diesmann, Rainer M. Waser, Dirk J. Wouters

0

citations
Task space adaptation via the learning of gait controllers of magnetic soft millirobots
2021 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

33

citations
On the use of evolutionary-algorithm-driven reinforcement learning in underwater robotics
2026 RWTH Publications (RWTH Aachen) dissertation Engineering Underwater Vehicles and Communication Systems Open access

Cagatay Sariman

0

citations
Comparison of Hybrid Machine Learning Approaches for Surrogate Modeling Part Shrinkage in Injection Molding
2024 Polymers article Engineering Injection Molding Process and Properties Open access

Sven Robert Raisch, Mauritius Schmitz, Christian Hopmann

13

citations
Optimized Pulse Patterns Design for Electrical Drives: A Reinforcement Learning Approach
2026 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

0

citations
Deep reinforcement learning for the optimized operation of large amounts of distributed renewable energy assets
2022 Energy and AI article Engineering Smart Grid Energy Management Open access

Jan Martin Specht, Reinhard Madlener

18

citations
Performance evaluation of cross-environment learning strategies for beam prediction in millimeter-wave networks
2025 RWTH Publications (RWTH Aachen) dissertation Engineering Millimeter-Wave Propagation and Modeling Open access

Jan Bjarne Schaper

0

citations
Adapting Technology Learning Curves for Prospective Techno-Economic and Life Cycle Assessments of Emerging Carbon Capture and Utilization Pathways
2022 Frontiers in Climate article Engineering Carbon Dioxide Capture Technologies Open access

Grant Faber, Andrew W. Ruttinger, Till Strunge, Tim Langhorst, Arno Zimmermann, Mitchell K. van der Hulst, +3 more

57

citations
Application of Transfer Learning for Detecting Fiber Orientations in Images of Fiber Reinforced Plastics
2022 Materials science forum article Engineering Industrial Vision Systems and Defect Detection Open access

Hans Aoyang Zhou, Florian Brillowski, Christoph Greb, Daniel Lütticke

0

citations
Learning Deformable Linear Object Dynamics From a Single Trajectory
2025 IEEE Robotics and Automation Letters article Engineering Robot Manipulation and Learning Open access

Shamil Mamedov, A. René Geist, Sebastian Trimpe, Jan Swevers

6

citations
Induced network-based transfer learning in injection molding for process modelling and optimization with artificial neural networks
2021 The International Journal of Advanced Manufacturing Technology article Engineering Injection Molding Process and Properties Open access cited by 1 patent

Yannik Lockner, Christian Hopmann

97

citations
Synergizing physics and machine learning for advanced battery management
2024 Communications Engineering article Engineering Advanced Battery Technologies Research Open access

Manashita Borah, Qiao Wang, Scott Jason Moura, Dirk Uwe Sauer, Weihan Li

65

citations
Unsupervised learning for defect segmentation in in-line industrial X-ray computed tomography
2026 RWTH Publications (RWTH Aachen) dissertation Engineering Industrial Vision Systems and Defect Detection Open access

Virginia Florian

0

citations
Lessons Learned from a Field Study on Deep-Learning-Based Model Predictive Control for Optimizing the Operation of Façade Ventilation Units
2025 Building Simulation Conference proceedings conference-paper Engineering Building Energy and Comfort Optimization Open access

Clara-Larissa Lorenz, Oliver Abele, Jérôme Frisch, Christoph van Treeck

0

citations
Compensating Environmental Disturbances in Maritime Path Following Using Deep Reinforcement Learning
2026 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

1

citations
Graph-based learning and read-out of nanopore translocation event signals
2026 bioRxiv (Cold Spring Harbor Laboratory) preprint Engineering Nanopore and Nanochannel Transport Studies Open access

Mayukh Kansari, Tobias Ensslen, Maria Fyta

0

citations