Prof. Dr. Stefan Naumann
Umweltplanung/Umwelttechnik, Hochschule Trier
- 06782/17-1217
0009-0000-6542-2229
Machhamer, Rüdiger; Begic Fazlic, Lejla; Guven, Eray et al.
Likelihood-Based Sensor Calibration Using Affine TransformationSensors Journal. Bd. 24. H. 3. IEEE 2024 S. 3672 - 3680
Bast, Sebastian; Begic Fazlic, Lejla; Naumann, Stefan et al.
LLMs on the Edge : Quality, Latency, and Energy Efficiency5. Workshop "KI in der Umweltinformatik" (KIU-2024). Bonn: Gesellschaft für Informatik e.V. 2024 S. 1183 - 1192
Junger, Dennis; Westing, Max; P. Freitag, Christopher et al.
Potentials of Green Coding - Findings and Recommendations for Industry, Education and Science - Extended Paper.CoRR. Bd. abs/2402.18227. 2024
Cetkin, Berkay; Begic Fazlic, Lejla; Ueding, Kristof et al.
Spatial impulse response analysis and ensemble learning for efficient precision level sensingDiscover Artificial Intelligence. Bd. 4. H. 1. Springer Science and Business Media LLC 2024 63
Cetkin, Berkay; Begic Fazlic, Lejla; Guldner, Achim et al.
Towards Sustainable Machine Learning : Analyzing Energy-Efficient Algorithmic Strategies for Environmental Sensor Data5. Workshop "KI in der Umweltinformatik" (KIU-2024). Bonn: Gesellschaft für Informatik e.V. 2024 S. 1155 - 1164
Guldner, Achim; Hoffmann, Maximilian; Lohr, Christian et al.
A framework for AI-based self-adaptive cyber-physical process systems.it Inf. Technol. Bd. 65. H. 3. 2023 S. 113 - 128
Wohlgemuth, Volker; Naumann, Stefan; Behrens, Grit et al.
Advances and New Trends in Environmental InformaticsCham: Springer 2023
Machhamer, Rüdiger; Begic Fazlic, Lejla; Guven, Eray et al.
Likelihood-based Sensor Calibration for Expert-Supported Distributed Learning Algorithms in IoT Systems.CoRR. Bd. abs/2309.11526. 2023
Junger, Dennis; Westing, Max; Freitag, Christopher et al.
Potentials of Green Coding: Findings and Recommendations for Industry, Education and ScienceDesigning Futures: Zukünfte gestalten. Bonn: Gesellschaft für Informatik e.V. 2023 S. 1289 - 1299 (INFORMATIK 2023)
Weber, Sebastian; Guldner, Achim; Begic Fazlic, Lejla et al.
Sustainability in Artificial Intelligence : Towards a Green AI Reference ModelGesellschaft für Informatik e.V. (Hrsg). Designing Futures : Zukünfte gestalten. Bonn. 2023 S. 1503 - 1514 (INFORMATIK 2023)