Cloud-Enabled Reconfiguration of Electrical/Electronic Architectures for Modular Electric Vehicles
Kraus, D.; Baumann, D.; Vučinić, V.; Sax, E.
2025. World Electric Vehicle Journal, 16 (2), Article no: 111. doi:10.3390/wevj16020111

Navigating Dimensionality Through State Machines in Automotive System Validation
Adolph, L.; Schütt, B.; Kraus, D.; Sax, E.
2025. Proceedings of the 13th International Conference on Model-Based Software and Systems Engineering MODELSWARD. Vol.: 1, 2025 , Porto, Portugal. Ed.: F. Ciccozzi, 125–132, SciTePress. doi:10.5220/0013080800003896

Vehicle Function Offloading: Finding the Optimal Cloud/Edge Application Model (OptiCAM)
Ruhnau, J.; Sommer, M.; Dettinger, F.; Kraus, D.; Becker, S.; Sax, E.; Weyrich, M.
2025. Advances in Information and Communication : Proceedings of the 2025 Future of Information and Communication Conference (FICC). Vol.: 1. Ed.: A. Kohei, 556–571, Springer Nature Switzerland. doi:10.1007/978-3-031-84457-7_34

An Architecture for Context-Aware Food and Beverage Preparation Systems
Müller, M.; Kraus, D.; Lukezic, N.; Guissouma, H.; Sax, E.
2024. Intelligent Systems and Applications – Proceedings of the 2024 Intelligent Systems Conference (IntelliSys) Volume 2. Ed.: K. Arai, 486–500, Springer Nature Switzerland. doi:10.1007/978-3-031-66428-1_31

A numerical verification method for multi-class feed-forward neural networks
Grimm, D.; Tollner, D.; Kraus, D.; Török, Á.; Sax, E.; Szalay, Z.
2024. Expert Systems with Applications, 247, Art.-Nr.: 123345. doi:10.1016/j.eswa.2024.123345

Introducing a Dynamic Link for Hybrid E/E-Architectures of Modular Electric Autonomous Vehicles
Kraus, D.; Fuchs, S.; Vucinic, V.; Kiebler, J.; Wagner, A.; Sax, E.
2024. EVS37 Symposium : COEX, Seoul, Korea, April 23-26, 2024

Co-simulate no more: The CARLA V2X Sensor
Grimm, D.; Schindewolf, M.; Kraus, D.; Sax, E.
2024. 2024 IEEE Intelligent Vehicles Symposium (IV), Jeju, 2nd-5th July 2024, 2429–2436, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IV55156.2024.10588488

Coffee Consumption and User Experience Dataset with Machine and Contextual Data
Müller, M.
2024, October 14. doi:10.35097/h8qfpu2hdzvsxem7

EFFECT: An End-to-End Framework for Evaluating Strategies for Parallel AI Anomaly Detection
Stammler, M.; Höfer, J.; Kraus, D.; Schmidt, P.; Hotfilter, T.; Harbaum, T.; Becker, J.
2023. Procedia Computer Science, 222, 499 – 508. doi:10.1016/j.procs.2023.08.188

Plug-and-Play Feature for Automotive Camera Sensors Using ReCoIN Model With Smart Configuration
Ramesh, G. B.; Chamas, M.; Schindewolf, M.; Kraus, D.; Sax, E.
2023. 2023 12th International Conference on Control, Automation and Information Sciences (ICCAIS), 725–732, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICCAIS59597.2023.10382373

Deep Reinforcement Learning Based Energy Management Strategy in Fuel Cell Range Extender Buses
Junk, C.; Kraus, D.; Sax, E.
2023. 2023 IEEE 14th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON), 0352–0357, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/UEMCON59035.2023.10316168

Context-Aware Policy for Route Planning and Feasible Vehicle Technologies
Kraus, D.; Junk, C.; Stang, M.; Sax, E.
2023. 2023 IEEE International Automated Vehicle Validation Conference (IAVVC), 6 S., Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IAVVC57316.2023.10328101

Introducing L-Shaping for a Streamlined Lidar-Based Perception in Urban Platooning
Baumann, D.; Kraus, D.; Kechler, N.; Fiedler, L.; Sax, E.; Venkatesh, N.
2023. 2023 IEEE International Automated Vehicle Validation Conference (IAVVC), Austin Tx, 16th-18 October 2023, 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IAVVC57316.2023.10328037

Optimized real-time control for modular multilevel converters using adaptive neural networks
Kraus, D.; Specht, E.; Merz, T.; Hiller, M.
2019. 2019 21st European Conference on Power Electronics and Applications (EPE ’19 ECCE Europe), 3-5 September 2019, Genova, Italy, Institute of Electrical and Electronics Engineers (IEEE). doi:10.23919/EPE.2019.8915464