Voxel-wise segmentation for porosity investigation of additive manufactured parts with 3D unsupervised and (deeply) supervised neural networks

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
1 Online-Ressource.
Language
Englisch

Bibliographic citation
Voxel-wise segmentation for porosity investigation of additive manufactured parts with 3D unsupervised and (deeply) supervised neural networks ; volume:54 ; number:24 ; day:31 ; month:10 ; year:2024 ; pages:13160-13177 ; date:12.2024
Applied intelligence ; 54, Heft 24 (31.10.2024), 13160-13177, 12.2024

Creator
Iuso, Domenico
Chatterjee, Soumick
Cornelissen, Sven
Verhees, Dries
Beenhouwer, Jan De
Sijbers, Jan
Contributor
SpringerLink (Online service)

DOI
10.1007/s10489-024-05647-z
URN
urn:nbn:de:101:1-2501292103348.895608732147
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:29 AM CEST

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Associated

  • Iuso, Domenico
  • Chatterjee, Soumick
  • Cornelissen, Sven
  • Verhees, Dries
  • Beenhouwer, Jan De
  • Sijbers, Jan
  • SpringerLink (Online service)

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