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
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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
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[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
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[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
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[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
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[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
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