PubPeer
The online Journal club
login
create account
Home
Publications
Physics-informed deep learning to quantify anomalies for real-time fault mitigation in 3D printing
Applied Intelligence (2024) -
Comments
doi: 10.1007/s10489-024-05402-4 issn: 0924-669x issn: 1573-7497
Benjamin Uhrich, Nils Pfeifer, Martin Schäfer, Oliver Theile, Erhard Rahm
Go to article
Go to preprint
Springer Science and Business Media LLC
Comments awaiting moderation ({{totalComments}})
Review last reports ({{totalReports}})
Review last email suggestions ({{totalPendingEmails}})
Last month's whitelisted comments ({{totalWhitelistedComments}})