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Unexpected Event Prediction in Wire Electrical Discharge Machining Using Deep Learning Techniques
Theoretical models of manufacturing processes provide a valuable insight into physical phenomena but their application to practical industrial situations is sometimes difficult. In the context of Industry 4.0, artificial intelligence techniques can provide efficient solutions to actual manufacturing...
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| Veröffentlicht in: | Materials (Basel) |
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| Hauptverfasser: | , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI
2018
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6073871/ https://ncbi.nlm.nih.gov/pubmed/29958394 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/ma11071100 |
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