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(es)
VanBeurden,M;Budko,NV;Ciuprina,G;Schilders,W;Bansal,H;Barbulescu,R
Tipo de Documento
Proceedings Paper
Year published
2024
Publicado
in SCIENTIFIC COMPUTING IN ELECTRICAL ENGINEERING, SCEE 2022, ISSN: 1612-3956
Volume: 43, Páginas: 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
Export Publication Metadata
Lista Marked
 Adicionar à lista Marked
Info
At this moment we don't have any links to full text documens.

Um espaço para investigadores e suas Instituições

Links Úteis

Ajuda

© 2025 CRACS & Inesc TEC - All Rights Reserved Política de Privacidade | Terms of Service