Hochschule Trier
- +49 651/8103-0
- +49 651/8103-333
- info@hochschule-trier.de
L. Klinger, Sigrid; Weber, Patrick; Strickroth, Sven et al.
Stimulating Reflection on Code Quality: An Adaptive and Automated Question Generation Approach for Student Code.DeLFI. 2025 S. 301 - 306
Fischer-Stabel, Peter; Hoffmann, Jaqueline; Azvedo, Joshua
StoryMaps: Advancing Public Awareness, Preparedness, and Resilience to Flood RisksEGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025. Göttingen: Copernicus GmbH 2025 EGU25-5958
Suberi, Hari K.; Helmers, Eckard; Asif, Muhammad et al.
Surface transport emission reduction strategy in BhutanAdvances. Bd. 15. H. 2. AIP 2025
Löhr, Dirk
The German energy transition: Too much of a good thing?Journal of Environmental Protection. Bd. 16. H. 5. 2025 S. 253 - 271
Jockel, Otto; Lyu, Rong; Siegfried, Patrick
The Impact of Covid-19 on Supply Chain Resilience in the Manufacturing SectorInternational Journal of Economics, Business and Management Research. Bd. 09. H. 10. International Journal of Medical Science and Health Research 2025 S. 310 - 328
Helling, Klaus
The Integration of Sustainability into Teaching: Findings and Best Practice from a Study on the Implementation of Sustainability at Universities in Rhineland-PalatinateWorld Sustainability Series. Springer Nature Switzerland 2025 S. 783 - 801
Poschen, C.; Berens, B.; Knorr, K.
Towards Formalized Study Parameters for Medical Research17th International Conference on e-Health. 2025 S. 1
Adje, Mishael; Karstens, Sven; Mbada, Chidozie et al.
Traditional bone setting in Nigeria from the perspectives of patients and physiotherapists— clinical insights for low back pain managementBMC Complementary Medicine and Therapies. Bd. 25. H. 1. Springer Science and Business Media LLC 2025 229
Gröger, Jens; Behrens, Felix; Naumann, Stefan et al.
Umweltzeichen Blauer Engel für Ressourcen- und energieeffiziente SoftwareprodukteBd. 157. Dessau-Roßlau: Umweltbundesamt 2025 72 S. (Texte | 157/2025)
Plassmann, Jessica; Schuler, Nicolas; von Freymann, Georg et al.
Unsupervised Learning for Industrial Defect Detection: A Case Study on Shearographic DataBramer, Max; Stahl, Frederic (Hrsg). Artificial Intelligence XLII. Springer Nature 2025 S. 316 - 329 (Lecture Notes in Computer Science, Volume 16302)