Publications 2024
- [j24.1]
- C. Polle, S. Bosse, A.S. Herrmann, Damage Location Determination with Data Augmentation of Guided Ultrasonic Wave Features and Explainable Neural Network Approach for Integrated Sensor Systems, Computers 2024, 13, 32.
https://doi.org/10.3390/computers13020032
Publisher
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- [j24.2]
- S. Bosse, D. Lehmhus, S. Kumar, Automated Porosity Characterization for Aluminum Die Casting Materials Using X-ray Radiography, Synthetic X-ray Data Augmentation by Simulation, and Machine Learning, Sensors 2024, 24, 2933.
https://doi.org/10.3390/s24092933
Publisher
PDF
- [j24.3]
- S. Bosse, A Virtual Machine Platform Providing Machine Learning as a Programmable and Distributed Service for IoT and Edge On-Device Computing: Architecture, Transformation, and Evaluation of Integer Discretization, Algorithms. 2024; 17(8):356.
https://doi.org/10.3390/a17080356
Publisher
PDF
- [c24.1]
- S. Bosse, Data-driven Parameterizable Generative Adversarial Networks for Synthetic Data Augmentation of Guided Ultrasonic Wave Sensor Signals, EWSHM 2024, 11 th European Workshop on Structural Health Monitoring, 10-13.6.2024, Potsdam,
Germany
Publisher
PDF
- [c24.2]
- C. Polle, S. Bosse, A Study on XANNs for Analyzing Failures in Guided Ultrasonic Wave-based Damage Localization, EWSHM 2024, 11 th European Workshop on Structural Health Monitoring, 10-13.6.2024, Potsdam,
Germany
Publisher
PDF
- [c24.3]
- Franck P. Vidal et al., CT simulations with gVXR as a useful tool for education, set-up of CT scans and scanner development, 18-22 August 2024, SPIE Optics + Photonics, San Diego,
USA
Publisher
PDF
- [c24.4]
- S. Bosse, B. Lüssem, Analog Electronics Neural Networks: Analog Computing combined with Digital Data Processing Revisited, in Proceedings of the 11th International Electronic Conference on Sensors and Applications, 26–28 November 2024, MDPI: Basel, Switzerland,
doi:10.3390/ecsa-11-20463
Publisher
PDF
- [c24.5]
- C. Polle, S. Bosse, D. May, Transformation of Guided Ultrasonic Wave Signals from Air Coupled to Surface Bounded Measurement Systems with Machine Learning Algorithms for Training Data Augmentation, in Proceedings of the 11th International Electronic Conference on Sensors and Applications, 26–28 November 2024, MDPI: Basel, Switzerland,
doi:10.3390/ecsa-11-20448
Publisher
PDF