1 citations · 1 across the 4 of their papers we have counts for
5 papers
Convergence of physics-informed neural networks modeling time-harmonic wave fields
Stefan Schoder, Aneta Furmanová, Viktor Hruška
Studying physics-informed neural networks (PINNs) for modeling partial differential equations to solve the acoustic wave field has produced promising results for simple geometries…
Flow-Acoustics: Theory and Benchmarking
Stefan Schoder
The urgent need for transitioning to green energy solutions, particularly in the context of house heating and urban redensification, has brought the issue of fan noise aeroacoustic…
An approach using the null space to implement Dirichlet and constraint boundary conditions into FEM
Stefan Schoder
A handy technique for the Finite Element Method (FEM) is presented that uses the null space for the implementation of Dirichlet and constraint boundary conditions. The focus of thi…
First qualitative observations on deep learning vision model YOLO and DETR for automated driving in Austria
Stefan Schoder
This study investigates the application of single and two-stage 2D-object detection algorithms like You Only Look Once (YOLO), Real-Time DEtection TRansformer (RT-DETR) algorithm f…
Offline coupling of segregated multi-physical simulations with consistent boundary conditions and source terms based on scattered data
Stefan Schoder
This article presents the openCFS submodule scattered data reader for coupling multi-physical simulations performed in different simulation programs. For instance, by considering a…