Dr. Achim Guldner
Umweltplanung/Umwelttechnik, Hochschule Trier
- 06782/17-1927
0000-0002-7532-4523
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)
Theusch, Felix; Seemann, Lukas; Guldner, Achim et al.
Towards Machine Learning-Based Digital Twins in Cyber-Physical SystemsAI for Digital Twins and Cyber-Physical Applications, 32nd International Joint Conference on Artificial Intelligence (AI4DT\&CP@IJCAI\-'23). Macao S.A.R. 2023 S. 1 - 16
Naumann, Stefan; Guldner, Achim; Weber, Sebastian et al.
Was weiß ChatGPT über Nachhaltige Software-Entwicklung und Green Coding? Erste Tests und BewertungenDesigning Futures: Zukünfte gestalten. Bonn: Gesellschaft für Informatik e.V. 2023 S. 1277 - 1288 (INFORMATIK 2023)
Knebel, Peter; Appold, Christian; Guldner, Achim et al.
An Artificial Intelligence of Things based Method for Early Detection of Bark Beetle Infested TreesEnviroInfo 2022. Bonn: Gesellschaft für Informatik e.V. 2022 S. 111 - 121
Guldner, Achim
Assessing the Resource- and Energy Efficiency of AI-based Cyber-Physical SystemsAI and Cyber-Physical Process Systems Workshop 2022 (AI-CPPS @ KI2022); 45th German Conference on Artificial Intelligence conference. Trier. 2022
Guldner, Achim; Murach, Julien
Measuring and Assessing the Resource and Energy Efficiency of Artificial Intelligence of Things Devices and AlgorithmsProgress in IS. Cham: Springer 2022 S. 185 - 199
Guldner, Achim; Kern, Eva; Kreten, Sandro et al.
Criteria for Sustainable Software Products: Analyzing Software, Informing Users, and PoliticsSoftware Sustainability. Cham: Springer 2021 S. 17 - 42
Guldner, Achim; Kreten, Sandro; Naumann, Stefan
Exploration and systematic assessment of the resource efficiency of Machine LearningInformatik 2021: 2. Workshop Künstliche Intelligenz in der Umweltinformatik. Bonn: Gesellschaft für Informatik e.V. (GI) 2021 S. 287 - 299 (Lecture Notes in Informatics)
Machhamer, Rudiger; Garling, Marcel; Czenkusch, Levin et al.
Development of Edge Runtime Learning Systems for an Artificial Nose Classifying Drinks9th Mediterranean Conference on Embedded Computing (MECO). online: IEEE 2020
Eigenstetter, Monika; Örke, Britta; Sparmann, Gisela et al.
Mit dem MINTcoach auf Mission23. Workshop GeNeMe'20 Gemeinschaften in Neuen Medien. Dresden: TUDpress 2020 S. 422 - 431