Federated learning-based semantic segmentation for pixel-wise defect detection in additive manufacturing

Semantic segmentation is a promising machine learning (ML) method for highly precise fine-scale defect detection and part qualification in additive manufacturing (AM). Most existing segmentation methods utilize convolutional neural network architectures that require large quantities of training data...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Journal of manufacturing systems 2022-07, Vol.64 (C), p.197-210
Hauptverfasser:	Mehta, Manan, Shao, Chenhui
Format:	Artikel
Sprache:	eng
Schlagworte:	Data privacy Defect detection Federated learning Metal additive manufacturing Quality Semantic segmentation
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!