Secfl - Secure Federated Learning Framework for Predicting Defects in Sheet Metal Forming Under Variability

AuthID
 P-00Z-03N
3
Author(s)
Dib, MAD
·
Document Type
Article
Year published
2024
Published
in EXPERT SYSTEMS WITH APPLICATIONS, ISSN: 0957-4174
Volume: 235, Pages: 121139 (12)
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Wos®
Scopus®
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Publication Identifiers
Scopus: 2-s2.0-85168803841
Wos: WOS:001070730900001
Source Identifiers
ISSN: 0957-4174
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