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Implementation of Deep Learning-Based Segmentation for Quantitative Microstructure Analysis and 3D Reconstruction in Aluminum Alloys

; ;

In
Integrating materials and manufacturing innovation

ImpressumHeidelberg [u.a.] : SpringerOpen

ISSN2193-9764

Published: 08 May 2026

Online
DOI: 10.1007/s40192-026-00462-5


Einrichtungen

  1. ACCESS e.V. (054300)


Thematische Einordnung (Klassifikation)
DDC: 620


Dokumenttyp
Journal Article

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105038318840
WOS Core Collection: WOS:001760535100001

Interne Identnummern
RWTH-2026-05230
Datensatz-ID: 1035971

Lizenzstatus der Zeitschrift

 GO


Medline ; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; DEAL Springer ; Essential Science Indicators ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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The record appears in these collections:
Document types > Articles > Journal Articles
Affiliated Institutes and Associations
Central and Other Institutions
Documents in print
Public records
Publication Charges
054300

TypAmountVATCurrencyShareStatusCost centre
Hybrid-OA2600.00182.00EUR96.76 %(DEAL)021000-054300
Other87.006.09EUR3.24 %(DEAL)021000-054300
Sum2687.00188.09EUR   
Total2875.09     
 Record created 2026-05-18, last modified 2026-05-20



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