Anomaly Detection in Hobbing Tool Images: Using An Unsupervised Deep Learning Approach in Manufacturing Industry
| Autor: | Kiefer, Daniel, Wezel, Stefan, Böttcher, Alexander, Grimm, Florian, Straub, Tim, Bitsch, Günter, Van Dinther, Clemens |
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| Zdroj: | In Procedia Computer Science 2024 232:2396-2405 |
| Databáze: | ScienceDirect |
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