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cs.CE2024★ 13 cited
Physics-Informed Holomorphic Neural Networks (PIHNNs): Solving Linear Elasticity Problems
Matteo Calafà, Emil Hovad, Allan P. Engsig-Karup +1
We propose physics-informed holomorphic neural networks (PIHNNs) as a method to solve boundary value problems where the solution can be represented via holomorphic functions. Speci…
cs.CV2024
Classification of Tennis Actions Using Deep Learning
Emil Hovad, Therese Hougaard-Jensen, Line Katrine Harder Clemmensen
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 in order to e.g., au…