Continual Learning of Fault Prediction for Turbofan Engines using Deep Learning with Elastic Weight Consolidation. - Benjamin Maschler; Hannes Vietz; Nasser Jazdi; Michael Weyrich (ETFA, 2020)

A Methodology to Identify Cognition Gaps in Visual Recognition Applications Based on Convolutional Neural Networks. - Hannes Vietz; Tristan Rauch; Andreas Löcklin; Nasser Jazdi; Michael Weyrich (CASE, 2021)

Trajectory Prediction of Moving Workers for Autonomous Mobile Robots on the Shop Floor. - Andreas Löcklin; Maurice Artelt; Tamás Ruppert; Hannes Vietz; Nasser Jazdi; Michael Weyrich (ETFA, 2022)

Deep learning-based 5G indoor positioning in a manufacturing environment. - Hannes Vietz; Andreas Löcklin; Hamza Ben Haj Ammar; Michael Weyrich (ETFA, 2022)

Synthetic Training Data Generation for Convolutional Neural Networks in Vision Applications. - Hannes Vietz; Tristan Rauch; Michael Weyrich (ETFA, 2022)

Synthetic Data Generation for improving Deep Learning-based 5G Indoor Positioning. - Hannes Vietz; Manuel Hirth; Sebastian Baum; Michael Weyrich (ETFA, 2023)