2 papers
cs.CE2025
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…
cs.CV2024
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…