Dr. Achim Guldner
Umweltplanung/Umwelttechnik, Hochschule Trier
- 06782/17-1927
0000-0002-7532-4523
Schacht, Marvin; Murach, Julien; Guldner, Achim et al.
Architecture of an AI on Device Board for Local, Automated Training and Inference2025 MIPRO 48th ICT and Electronics Convention. IEEE 2025 S. 6 - 11
Guldner, Achim
Assessing the Resource and Energy Efficiency of Software and Artificial Intelligence SystemsTrier. 2025 297 S.
Begic Fazlic, Lejla; Cetkin, Berkay; Guldner, Achim et al.
Enhancing Energy Efficiency in AI: A Multi-faceted Analysis Across Time Series, Semantic AI and Deep Learning DomainsWohlgemuth, V., Kandil, H., Ramzy, A. (Hrsg). Advances and New Trends in Environmental Informatics. Springer Nature Switzerland 2025 S. 237 - 256 (Progress in IS)
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
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
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
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)