The simulation of the passage of particles through the detectors of High Energy Physics (HEP) experiments is a core component of any physics analysis. However, a detailed and accurate simulation of the detector response using the Geant4 toolkit is a time and CPU consuming process, making it a challenge to gather enough statistics. This is especially problematic for the upcoming High Luminosity...
Deep learning is widely used in microscopy applications, mainly for processing the generated data, e.g. image segmentation and classification. Real-time applications are less common due to the research focus to develop the best possible method for a given problem and the time it requires to engineer. However, such approaches help in automating monotonous manual processes, they standardize the...
One of the central questions of the digital transformation is how Industry 4.0 can be utilised to fulfil all the production system requirements while following state-of-the-art developments. Effective information management is critical for the improvement of manufacturing processes. This research high- lights that ontologies are suitable for manufacturing management and recommends the...
