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Identifying and Analyzing Data Model Requirements and Technology Potentials of Machine Learning Systems in the Manufacturing Industry of the Future7citations
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Framework for Potential Analysis by Approximating Line-Less Assembly Systems with AutoML2021 Lecture notes in mechanical engineering conference-paper Engineering Flexible and Reconfigurable Manufacturing Systems
Lea Kaven, Jonas Rachner, Amon Göppert, Sazvan Saeed, Robert Heinrich Schmitt
5citations -
Function Class Learning with Genetic Programming: Towards Explainable Meta Learning for Tumor Growth Functionals2024 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Evolutionary Algorithms and Applications Open access
Evi Sijben, Jeroen C. Jansen, Peter A. N. Bosman, Tanja Alderliesten
2citations -
High-Quality I/O Bandwidth Prediction with Minimal Data via Transfer Learning Workflow2024 IEEE International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD) conference-paper Computer Science Parallel Computing and Optimization Techniques
Dmytro Povaliaiev, Radita Liem, Julian Martin Kunkel, Jay Lofstead, Philip Carns
4citations -
Fast Carbon Footprinting in Complex Product Portfolios Using Machine Learning Approaches2025 Lecture notes in production engineering conference-paper Environmental Science Environmental Impact and Sustainability
Nikolai Kelbel, Peiran Yang, Michael Riesener, Alexander Keuper, Günther Schuh
1citations -
Identification and Characterization of Challenges in the Future of Manufacturing for the Application of Machine Learning8citations
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Anywhere Academy — Avatar-Based Collaborative Teaching and Learning in VR2026 Lecture notes in computer science conference-paper Computer Science Virtual Reality Applications and Impacts Open access
Patrick Querl, Raymond Leonardo Chandra, Koen Castermans, Djamel Berkaoui, Heribert Nacken
0citations -
Requirements and Learning Modules for Implementing a Hologram Table in University Lectures2023 European Conference on Games Based Learning conference-paper Computer Science Augmented Reality Applications Open access
Johannes Zysk, Samira Khodaei, Maximilian Weber, Anas Abdelrazeq, Dennis Kreutzer, Ingrid Isenhardt, +1 more
0citations -
GoSafe: Globally Optimal Safe Robot Learning2021 Proceedings - IEEE International Conference on Robotics and Automation/Proceedings conference-paper Computer Science Reinforcement Learning in Robotics Open access cited by 1 patent
Dominik Baumann, Alonso Marco, Matteo Turchetta, Sebastian Trimpe
19citations