Browsing by Subject "Deep neural network"

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Efficiency of deep neural networks for joint angle modeling in digital gait assessment

Conte Alcaraz, Javier; Moghaddamnia, Sanam; Peissig, Jürgen (Heidelberg : Springer, 2021)

Reliability and user compliance of the applied sensor system are two key issues of digital healthcare and biomedical informatics. For gait assessment applications, accurate joint angle measurements are important. Inertial ...
FAC-fed: Federated adaptation for fairness and concept drift aware stream classification

Badar, Maryam; Nejdl, Wolfgang; Fisichella, Marco (Dordrecht [u.a.] : Springer Science + Business Media B.V, 2023)

Federated learning is an emerging collaborative learning paradigm of Machine learning involving distributed and heterogeneous clients. Enormous collections of continuously arriving heterogeneous data residing on distributed ...

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