Search Results - "Hovad, Emil"

Physics-Informed Holomorphic Neural Networks (PIHNNs): Solving 2D linear elasticity problems by Calafà, Matteo, Hovad, Emil, Engsig-Karup, Allan P., Andriollo, Tito

“…We propose physics-informed holomorphic neural networks (PIHNNs) as a method to solve boundary value problems where the solution can be represented via…”
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Discrete element modelling of track ballast capturing the true shape of ballast stones by Mortensen, Jacob, Faurholt, Joachim Faldt, Hovad, Emil, Walther, Jens Honoré

“…Railway ballast affected by heavy cyclic loading degrades and spreads resulting in an uncomfortable transportation caused by undesirable vibrations. Restoring…”
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Automatic detection of grains in partially recrystallized microstructures using deep learning by Lin, Fengxiang, Fang, Haixing, Liu, Hong, Zhang, Yubin, Jensen, Dorte Juul, Hovad, Emil

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Cavity prediction in sand mould production applying the DISAMATIC process by Hovad, Emil, Larsen, Per, Spangenberg, Jon, Walther, Jens H., Thorborg, Jesper, Hattel, Jesper H.

“…The sand shot in the DISAMATIC process is simulated by the discrete element method (DEM) taking into account the influence and coupling of the airflow with…”
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Unsupervised Deep Learning for Laboratory-Based Diffraction Contrast Tomography by Hovad, Emil, Fang, Haixing, Zhang, Yubin, Clemmensen, Line Katrine Harder, Ersbøll, Bjarne Kjær, Juul Jensen, Dorte

“…An important leap forward for the 3D community is the possibility to perform non-destructive 3D microstructural imaging in the home laboratories. This…”
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Physics-Informed Holomorphic Neural Networks (PIHNNs): Solving Linear Elasticity Problems by Calafà, Matteo, Hovad, Emil, Engsig-Karup, Allan P, Andriollo, Tito

“…We propose physics-informed holomorphic neural networks (PIHNNs) as a method to solve boundary value problems where the solution can be represented via…”
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Classification of Tennis Actions Using Deep Learning by Hovad, Emil, Hougaard-Jensen, Therese, Clemmensen, Line Katrine Harder

“…Recent advances of deep learning makes it possible to identify specific events in videos with greater precision. This has great relevance in sports like tennis…”
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