Search Results for author:
Found 3 papers, 0 papers with code
Sparse-View Spectral CT Reconstruction Using Deep Learning
Furthermore, the results indicate that the network can exploit the coupling of the channels to enhance the overall quality and robustness.
Multi-Spectral Imaging via Computed Tomography (MUSIC) - Comparing Unsupervised Spectral Segmentations for Material Differentiation
Multi-spectral computed tomography is an emerging technology for the non-destructive identification of object materials and the study of their physical properties.
A Supervised Learning Concept for Reducing User Interaction in Passenger Cars
In this article an automation system for human-machine-interfaces (HMI) for setpoint adjustment using supervised learning is presented.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
