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- Hallawa, Ahmed; Zechendorf, Elisabeth; Song, Yi et al.
- On the Use of Evolutionary Computation for In-Silico Medicine: Modelling Sepsis via Evolving Continuous Petri Nets
- Applications of Evolutionary Computation. Leipzig: Springer 2019 S. 254 - 269
- Machhamer, Rudiger; Dziubany, Matthias; Czenkusch, Levin et al.
- Online Offline Learning for Sound-Based Indoor Localization Using Low-Cost Hardware
- IEEE Access. Bd. 7. IEEE 2019 S. 155088 - 155106
- Dziubany, Matthias; Schneider, Jens; Schmeink, Anke et al.
- Optimization of a CPSS-based Flexible Transportation System
- 9th Mediterranean Conference on Embedded Computing (MECO). online: IEEE 2020
- Cepheli, Ozge; Lücken, Volker; Karabulut-Kurt, Gunes et al.
- Physical layer security in the last mile technology of mobile networks, protecting mobile networks and devices: Challenges and solutions
- Protecting Mobile Networks and Devices. New York. 2016 26 S. (Series in Security, Privacy and Trust)
- Topal, Ozan A.; Demir, Mehmet Ö.; Dartmann, Guido et al.
- Physical Layer Spoofing Against Eavesdropping Attacks
- 8th Mediterranean Conference on Embedded Computing (MECO). online: IEEE 2019
- Ayad, Ahmad; Hallawa, Ahmed; Peine, Arne et al.
- Predicting Abnormalities in Laboratory Values of Patients in the Intensive Care Unit Using Different Deep Learning Models: Comparative Study
- JMIR Medical Informatics. Bd. 10. H. 8. JMIR Publications Inc. 2022 e37658
- Schneider, Jens; Dziubany, Matthias; Schmeink, Anke et al.
- Predicting energy consumption using machine learning
- Big Data Analytics for Cyber-Physical Systems. o. O.: Elsevier 2019 S. 167 - 186
- Dziubany, M.; Schneider, J.; Schmeink, A. et al.
- Prognose von Wärmeverbräuchen: Stolpersteine und Lösungen. Umweltinformatik zwischen Nachhaltigkeit und Wandel
- Workshops der Informatik 2018 - Architekturen, Prozesse, Sicherheit und Nachhaltigkeit. Bonn: Gesellschaft für Informatik 2018 S. 135 - 144
- Mohammed, Shawan T.; Bytyn, Andreas; Ascheid, Gerd et al.
- Reinforcement learning and deep neural network for autonomous driving
- Big Data Analytics for Cyber-Physical Systems. n.a.: Elsevier 2019 S. 187 - 213
- Creutz, Lars; Kopp, Sam; Schneider, Jens et al.
- Simulation Platforms for Autonomous Driving and Smart Mobility: Simulation Platforms, Concepts, Software, APIs
- Smart Transportation. Boca Raton: Taylor and Francis 2021