Prof. Dr. Stefan Naumann
Umweltplanung/Umwelttechnik, Hochschule Trier
- 06782/17-1217
0009-0000-6542-2229
Guldner, Achim; Bender, Rabea; Calero, Coral et al.
Development and evaluation of a reference measurement model for assessing the resource and energy efficiency of software products and components: Green Software Measurement Model (GSMM)Future Generation Computer Systems. Bd. 155. Elsevier B.V. 2024 S. 402 - 418
Mohr, Michael; Hartard, Susanne; Naumann, Stefan
Die Ermittlung von Treibhausgas-Emissionen in der Cloud und Integration des Vorgehensmodells ins IT-Management.INFORMATIK. 2024 S. 1219 - 1230
Schultheis, Alexander; Alt, Benjamin; Bast, Sebastian et al.
EASY: Energy-Efficient Analysis and Control Processes in the Dynamic Edge-Cloud Continuum for Industrial ManufacturingKI - Künstliche Intelligenz. Bd. 0. Springer 2024 s13218-024-00868-3
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
Cetkin, Berkay; Begic Fazlic, Lejla; Guldner, Achim et al.
Towards Sustainable Machine Learning: Analyzing Energy-Efficient Algorithmic Strategies for Environmental Sensor Data.INFORMATIK. 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