Machine Learning Techniques to Model Highly Nonlinear Multi-Field Dynamics

AuthID
 P-010-5RQ
4
Author(s)
Barbulescu, R
·
Ciuprina, G
·
Duca, A
·
6
Editor(s)
VanBeurden,M;Budko,NV;Ciuprina,G;Schilders,W;Bansal,H;Barbulescu,R
Document Type
Proceedings Paper
Year published
2024
Published
in SCIENTIFIC COMPUTING IN ELECTRICAL ENGINEERING, SCEE 2022, ISSN: 1612-3956
Volume: 43, Pages: 125-132 (8)
Conference
14Th International Conference on Scientific Computing in Electrical Engineering-Scee, Date: JUL 11-14, 2022, Location: Amsterdam, NETHERLANDS
Indexing
Wos®
Scopus®
Crossref®1
Google Scholar®
Publication Identifiers
Scopus: 2-s2.0-85188065226
Wos: WOS:001507017100014
Source Identifiers
ISSN: 1612-3956
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