Predicting Open-Hole Laminates Failure Using Support Vector Machines With Classical and Quantum Kernels

no code implementations • 5 May 2024 • Giorgio Tosti Balducci, Boyang Chen, Matthias Möller, Marc Gerritsma, Roeland De Breuker

Here, we also propose using data-based models but to tackle open hole composite failure from a classification point of view.

Bring the Noise: Introducing Noise Robustness to Pretrained Automatic Speech Recognition

no code implementations • 5 Sep 2023 • Patrick Eickhoff, Matthias Möller, Theresa Pekarek Rosin, Johannes Twiefel, Stefan Wermter

We show that the Cleancoder is able to filter noise from speech and that it improves the total Word Error Rate (WER) of the downstream model in noisy conditions for both applications.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

Towards Accuracy and Scalability: Combining Isogeometric Analysis with Deflation to Obtain Scalable Convergence for the Helmholtz Equation

no code implementations • 20 Oct 2020 • Vandana Dwarka, Roel Tielen, Matthias Möller, Kees Vuik

Numerical results obtained for both one- and two-dimensional model problems, including constant and non-constant wave numbers, show scalable convergence with respect to the wave number and approximation order p of the spatial discretization.

Numerical Analysis Computational Engineering, Finance, and Science Numerical Analysis