| Time-dependent Taylor–Aris dispersion of an initial point concentration S Vedel, E Hovad, H Bruus Journal of fluid mechanics 752, 107-122, 2014 | 33 | 2014 |
| Discrete element modelling of track ballast capturing the true shape of ballast stones J Mortensen, JF Faurholt, E Hovad, JH Walther Powder Technology 386, 144-153, 2021 | 18 | 2021 |
| Simulating the DISAMATIC process using the discrete element method—a dynamical study of granular flow E Hovad, J Spangenberg, P Larsen, JH Walther, J Thorborg, JH Hattel Powder Technology 303, 228-240, 2016 | 10 | 2016 |
| The effect of driving direction on spatially aligned track recording car measurements in turnouts E Hovad, C Thyregod, JF Andersen, CB Lyndgaard, MP Spooner, ... International Journal of Rail Transportation 8 (3), 234-248, 2020 | 9 | 2020 |
| Ballast degradation modeling for turnouts based on track recording car data SM Asadzadeh, R Galeazzi, E Hovad, JF Andersen, C Thyregod, ... Fourth European Conference of the Prognostics and Health Management Society …, 2018 | 8 | 2018 |
| Flow Dynamics of green sand in the DISAMATIC moulding process using Discrete element method (DEM) E Hovad, P Larsen, JH Walther, J Thorborg, JH Hattel IOP Conference Series: Materials Science and Engineering 84 (1), 012023, 2015 | 8 | 2015 |
| Deep learning for improving non-destructive grain mapping in 3D H Fang, E Hovad, Y Zhang, LKH Clemmensen, BK Ersbøll, D Juul Jensen IUCrJ 8 (5), 719-731, 2021 | 6 | 2021 |
| Spatial alignment of track recording car data in turnouts E Hovad, J Andersen, C Thyregod, A Rodrigues, BK Ersbøl Fourth international conference on railway technology: research, development …, 2018 | 5 | 2018 |
| Deep learning for automatic railway maintenance E Hovad, T Wix, M Khomiakov, G Vassos, AF da Silva Rodrigues, ... Intelligent quality assessment of railway switches and crossings, 207-228, 2021 | 4 | 2021 |
| Unsupervised Deep Learning for Laboratory-Based Diffraction Contrast Tomography E Hovad, H Fang, Y Zhang, LKH Clemmensen, BK Ersbøll, D Juul Jensen Integrating Materials and Manufacturing Innovation 9 (4), 315-321, 2020 | 4 | 2020 |
| Cavity prediction in sand mould production applying the DISAMATIC process E Hovad, P Larsen, J Spangenberg, JH Walther, J Thorborg, JH Hattel Powder technology 321, 204-217, 2017 | 4 | 2017 |
| Taylor dispersion in time dependent flow E Hovad Master Thesis, Technical University of Denmark, 2011 | 3 | 2011 |
| Automatic Detection of Rail Defects from Images E Hovad, H Hansen, AF da Silva Rodrigues, VA Dahl Intelligent Quality Assessment of Railway Switches and Crossings, 187-205, 2021 | 2 | 2021 |
| Numerical simulation of flow and compression of green sand E Hovad, J Thorborg Technical University of Denmark, 2017 | 2 | 2017 |
| Application of Mask R-CNN for lab-based X-ray diffraction contrast tomography H Fang, E Hovad, Y Zhang, DJ Jensen Materials Characterization 201, 112983, 2023 | 1 | 2023 |
| Labelling the State of Railway Turnouts Based on Repair Records G Vassos, E Hovad, P Duroska, C Thyregod, AF da Silva Rodrigues, ... Intelligent Quality Assessment of Railway Switches and Crossings, 167-185, 2021 | 1 | 2021 |
| An analytical solution describing the shape of a yield stress material subjected to an overpressure E Hovad, J Spangenberg, P Larsen, J Thorborg, JH Hattel AIP Conference Proceedings 1738 (1), 2016 | 1 | 2016 |
| Shape effect of crushed sand filler on rheology: a preliminary experimental and numerical study J Spangenberg, R Cepuritis, E Hovad, GW Scherer, S Jacobsen 8th International RILEM Symposium on Self-Compacting Concrete-SCC 2016, 193-202, 2016 | 1 | 2016 |
| Classification of Tennis Actions Using Deep Learning E Hovad, T Hougaard-Jensen, LKH Clemmensen arXiv preprint arXiv:2402.02545, 2024 | | 2024 |
| Numerical simulation of flow and compression of green sand-DTU Orbit (05/12/2018) E Hovad, J Thorborg | | 2017 |
