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Structuring Cross-Disciplinary Development: A Systems Engineering Framework for ASPICE-Compliant Mechatronic and Cyber-Physical Engineering2026 SAE technical papers on CD-ROM/SAE technical paper series conference-paper Engineering Systems Engineering Methodologies and Applications
Jan-Jöran Gehrt, Christian Granrath, Ebru Çağlayan, Thomas Reckeweg, Felix Richert
0citations -
Cyber-Physical Mobility Lab: An Open-Source Platform for Networked and Autonomous Vehicles2021 European Control Conference (ECC) conference-paper Engineering Traffic control and management Open access
Maximilian Kloock, Patrick Scheffe, Janis Maczijewski, Alexandru Kampmann, Armin Mokhtarian, Stefan Kowalewski, +1 more
70citations -
Growing up together: Differences between siblings in the development of compliance separating within-family and between-family effects.2022 Developmental Psychology article Psychology Child and Adolescent Psychosocial and Emotional Development Open access
Sheila R. van Berkel, Marleen G. Groeneveld, Lotte D. van der Pol, Mariëlle Linting, Judi Mesman
4citations -
Model-driven digital twin construction2020 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems (MODELS) conference-paper Computer Science Model-Driven Software Engineering Techniques cited by 1 patent
Jörg Christian Kirchhof, Judith Michael, Bernhard Rumpe⋆, Simon Varga, Andreas Wortmann
101citations -
Seamless Function-Oriented Mechanical System Architectures and Models2024 Eng—Advances in Engineering article Engineering Systems Engineering Methodologies and Applications Open access
Christian Wyrwich, Kathrin Boelsen, Georg Jacobs, Thilo Zerwas, Gregor Höpfner, Christian Konrad, +1 more
8citations -
Enforcing Fundamental Relations via Adversarial Attacks on Input Parameter Correlations2025 Computing and Software for Big Science article Computer Science Adversarial Robustness in Machine Learning Open access
Lucie Flek, Akbar Karimi, Timo Saala, Alexander G. Schmidt, M. Schott, Philipp Soldin, +1 more
0citations -
Shared Data and Algorithms for Deep Learning in Fundamental Physics2022 Computing and Software for Big Science article Physics and Astronomy Particle physics theoretical and experimental studies Open access
L. Benato, Erik Buhmann, Martin Erdmann, P. Fackeldey, Jonas Glombitza, N. M. Hartmann, +7 more
25citations -
Shared Data and Algorithms for Deep Learning in Fundamental Physics2021 RWTH Publications (RWTH Aachen) article Physics and Astronomy Particle physics theoretical and experimental studies Open access
L. Benato, Erik Buhmann, Martin Erdmann, P. Fackeldey, Jonas Glombitza, Gregor Kasieczka, +4 more
0citations