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Optimierung einer Motorradsimulation : Identifikation relevanter Einflussgrößen zur Generierung synthetischer Fahrdynamikdaten für KI-basierte Anwendungen
Alexander Schoen, Prof. Dr. Hannah Joerg
11. IFToMM D-A-CH Konferenz, 20./21. Februar 2025, FH Kärnten, Villach
DOI: 10.17185/duepublico/82932
Optimizing Bandwidth Reservation Decision Time in Vehicular Networks using Batched LSTM
Abdullah Al-Khatib, Klaus Moessner, Prof. Dr. Holger Timinger
International Journal of Advanced Computer Science and Applications
DOI: 10.14569/IJACSA.2024.0150297
Ein Ansatz zur Charakterisierung des Fahrerverhaltens auf Basis naturalistischer Fahrdaten - An Approach to Rider Behavior Profiling based on Naturalistic Riding Data
Raphael Pleß, Sebastian Will, Nora Leona Merkel, Alexander Schoen, Prof. Dr. Hannah Joerg, Etienne Assoumou Mengue
“Sicherheit – Umwelt – Zukunft XV”. Tagungsband der 15. Internationalen Motorradkonferenz, Essen
Qualitative Comparison of Tools for Handling Unstructured IIoT Data
Philipp Niklas Rosenthal, Prof. Dr. Abdelmajid Khelil, Makki Ben Salem
The Stuttgart Conference on Automotive Production (SCAP)
A new trend in further education? The involvement of small and medium-sized enterprises in micro degrees on digitalization and sustainability
Prof. Dr. Maren Martens, Elisabeth Scheuchenpflug
Research Notes on Data and Process Science
DOI: 10.57688/411
ISBN: 2702-508X
A Layered Strategy for Reducing Offloading Latency in Fog Computing
Ahmed Chebaane, Muhammad Kamran Arshad, Florian Burger, Prof. Dr. Abdelmajid Khelil
In Proc. of The 10th International Workshop on Internet of Things: Networking Applications and Technologies (IoTNAT)
DOI: 10.1109/FMEC62297.2024.10710234
Effective Timing for Reserving Fog Computational Resources for Time-Sensitive Vehicular Applications
Ahmed Chebaane, Prof. Dr. Abdelmajid Khelil, Makki Ben Salem, Bchira Ben Mabrouk
In Proc. of The 9th IEEE International Conference on Fog and Mobile Edge Computing (FMEC), 2024
DOI: 10.1109/FMEC62297.2024.10710306
Empirical Study on Data-based Tailoring in Project Management
Claudia Döring, Prof. Dr. Holger Timinger, Anna Schidek
33th IAMOT (International Association for Management of Technology), Porto, Portugal, 2024
DOI: 10.1007/978-3-031-72490-9_7
ISBN: 978-3-031-72490-9
Evaluation of a cross-university certification system in project management
Prof. Dr. Holger Timinger, Anna Schidek, Matthias Vieth, Harald Wehnes
33th IAMOT (International Association for Management of Technology), Porto, Portugal, 2024.
DOI: 10.1007/978-3-031-72490-9_8
ISBN: 978-3-031-72490-9
Distributed Dataflow Across the Edge-Cloud Continuum
Tyler Ekaireb, Lukas Brand, Nagarjun Avaraddy, Prof. Dr. Markus Mock, Chandra Krintz, Rich Wolski
DOI: 10.1109/CLOUD62652.2024.00043
Rule-based Automated Waste Detection for Industry 4.0
Abdalla Sino, Prof. Dr. Abdelmajid Khelil, Makki Ben Salem
The 7th European Conference on Industrial Engineering and Operations Management (IEOM)
DOI: 10.46254/EU07.20240188
Best Practices of Circular Business Models – Benefits and Challenges (not only) for German Start-ups
Verena Starflinger, Prof. Dr. Maren Martens
Research Notes on Data and Process Science
DOI: 10.57688/391
ISBN: 2702-508X
An Autonomous Energy Management Concept for Sustainable Smart Cities
Ulrich Ludolfinger, Prof. Dr. Maren Martens
2023 IEEE European Technology and Engineering Management Summit (E-TEMS). Conference Proceedings.
DOI: 10.1109/E-TEMS57541.2023.10424573
Depot: Dependency-Eager Platform of Transformations
Kerem Celik, Samridhi Maheshwari, Shereen ElSayad, Prof. Dr. Markus Mock, Chandra Krintz, Rich Wolski
Machine Learning for Predicting Photovoltaic Power Generation: an Application on a University Campus
Fabio Lopez, Prof. Dr. Markus Mock, Abraham Davila
Sensing Quality Driven Positioning and Orientation for LiDAR Sensors
Abdullah Al-Khatib, Prof. Dr. Abdelmajid Khelil, Dominic Scholze
2023 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT)
GreenCoin: A Renewable Energy-Aware Cryptocurrency
Nazmus Saquib, Shivaansh Kapoor, Chandra Krintz, Rich Wolski, Prof. Dr. Markus Mock
Transformer Model Based Soft Actor-Critic Learning for HEMS
Vedran Peric, Thomas Hamacher, Ulrich Ludolfinger, Prof. Dr. Sascha Hauke, Prof. Dr. Maren Martens
Proceedings of the 2023 IEEE International Conference on Power System Technology
DOI: 10.1109/PowerCon58120.2023.10331287
Alternative Prize Money Distributions for Higher Gender Equity in Sports
Prof. Dr. Maren Martens, Verena Starflinger
Operations Research Proceedings 2022, Springer Nature Switzerland
DOI: 10.1007/978-3-031-24907-5
Recurrent Soft Actor Critic Reinforcement Learning for Demand Response Problems
Daniel Zinsmeister, Vedran Peric, Thomas Hamacher, Ulrich Ludolfinger, Prof. Dr. Sascha Hauke, Prof. Dr. Maren Martens
2023 IEEE Belgrade PowerTech. Conference Proceedings
DOI: 10.1109/PowerTech55446.2023.10202844