| Begutachtete Zeitschriftenartikel |
|---|
Maraqten, N.; Herdrich, G. & Soergel, U. [2026]
Physics-informed machine learning for modal analysis and surrogate modelling of ABEP intake thermodynamics. Acta Astronautica, Aug. 2026.
DOI: 10.1016/j.actaastro.2026.07.036
| Begutachtete Tagungsbeiträge |
|---|
Collmar, D.; Asgharian Pournodrati, L.; & Soergel, U. [2026]
Crowdsourced ground-truth generation for bathymetric laser point clouds. 6. Wissenschaftlich-Technische Jahrestagung Der DGPF, 25-27. März 2026 in Darmstadt, 108–118.
DOI: 10.24407/KXP:1969161884
Collmar, D.; Walter, V., Sörgel, U.; & Ullmann, R. [2026]
Reproducing Geospatial Crowdsourcing: How Consistent Is the Crowd?. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XI-4-2026, 69–76.
DOI: 10.5194/isprs-annals-XI-4-2026-69-2026