Federated Learning-Enabled Secure Multi-Modal Anomaly Detection for Wire Arc Additive Manufacturing

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Pubblicato in:	Machines vol. 13, no. 11 (2025), p. 1063-1099
Autore principale:	Mahdi Mohammad Mahruf
Altri autori:	Raju Md Abdul Goni, Kyung-Chang, Lee, Kim Duck Bong
Pubblicazione:	MDPI AG
Soggetti:	Predictive maintenance Machine learning Wire Accuracy Datasets Welding parameters Metal forming Lasers Neural networks Sensors Privacy Data processing Data encryption Intelligence Sequences Clients Anomalies Manufacturing Customization Federated learning Geometry Embedding Robustness Additive manufacturing
Accesso online:	Citation/Abstract Full Text + Graphics Full Text - PDF
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