HIGHLIGHTS
- who: Philipp Maximilian Sieberg et al. from the Faculty Engineering, University Duisburg-Essen, Duisburg, Germany have published the research: Wear Mechanism Classification Using Artificial Intelligence, in the Journal: Materials 2022, 2358 of /2022/
- what: The focus of the classification method within this contribution is on artificial tion is on artificial neural_networks, as these are a proven method . By this initial work, the authors determine the extent to which the research gap for classifying wear mechanisms based on SEM images can be closed by artificial_intelligence. Within this contribution, the sequential model-based optimization is conducted by . . .
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