Surface similarity parameter: A new machine learning loss metric for oscillatory spatio-temporal data M Wedler, M Stender, M Klein, S Ehlers, N Hoffmann Neural networks 156, 123-134, 2022 | 5 | 2022 |
Application of machine learning for the generation of tailored wave sequences M Klein, M Stender, M Wedler, S Ehlers, M Hartmann, N Desmars, ... International Conference on Offshore Mechanics and Arctic Engineering 85901 …, 2022 | 3 | 2022 |
Machine learning for phase-resolved reconstruction of nonlinear ocean wave surface elevations from sparse remote sensing data S Ehlers, M Klein, A Heinlein, M Wedler, N Desmars, N Hoffmann, ... Ocean Engineering 288, 116059, 2023 | 1 | 2023 |
Advancing hull monitoring through physics-informed machine learning: Towards a real-time approach S Haberl, SA Eid, S Ehlers Advances in Maritime Technology and Engineering, 555-562, 2024 | | 2024 |
Data assimilation and parameter identification for water waves using the nonlinear Schr\"{o} dinger equation and physics-informed neural networks S Ehlers, NA Wagner, A Scherzl, M Klein, N Hoffmann, M Stender arXiv preprint arXiv:2401.03708, 2024 | | 2024 |