- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1614-3116
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Non-intrusive data-driven ROM framework for hemodynamics problems ; day:13 ; month:7 ; year:2021 ; pages:1-9
Acta mechanica Sinica ; (13.7.2021), 1-9
- Urheber
-
Girfoglio, M.
Scandurra, L.
Ballarin, F.
Infantino, G.
Nicolo, F.
Montalto, A.
Rozza, G.
Scrofani, R.
Comisso, M.
Musumeci, F.
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s10409-021-01090-2
- URN
-
urn:nbn:de:101:1-2021102000163275396238
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:27 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Girfoglio, M.
- Scandurra, L.
- Ballarin, F.
- Infantino, G.
- Nicolo, F.
- Montalto, A.
- Rozza, G.
- Scrofani, R.
- Comisso, M.
- Musumeci, F.
- SpringerLink (Online service)
Ähnliche Objekte (12)
Data-driven models for crashworthiness optimisation: intrusive and non-intrusive model order reduction techniques
Resilient data-driven non-intrusive load monitoring for efficient energy management using machine learning techniques
Fast simulation of coronary in‐stent restenosis: A non‐intrusive data‐driven reduced order surrogate model
Fast simulation of coronary in‐stent restenosis: A non‐intrusive data‐driven reduced order surrogate model
Non-intrusive finite element reliability analysis methods
Non-intrusive finite element reliability analysis methods
Machine Learning for Non-Intrusive Load Monitoring
Automated and non-intrusive provenance capture with UML2PROV
A brief review of reduced order models using intrusive and non‐intrusive techniques
Non-intrusive subdomain POD-TPWL for reservoir history matching
Two past forms inducing conjectural or non-intrusive questions
Non-intrusive speech quality assessment using context-aware neural networks
Data-driven models for crashworthiness optimisation: intrusive and non-intrusive model order reduction techniques
Resilient data-driven non-intrusive load monitoring for efficient energy management using machine learning techniques
Fast simulation of coronary in‐stent restenosis: A non‐intrusive data‐driven reduced order surrogate model
Fast simulation of coronary in‐stent restenosis: A non‐intrusive data‐driven reduced order surrogate model
Non-intrusive finite element reliability analysis methods
Non-intrusive finite element reliability analysis methods
Machine Learning for Non-Intrusive Load Monitoring
Automated and non-intrusive provenance capture with UML2PROV
A brief review of reduced order models using intrusive and non‐intrusive techniques
Non-intrusive subdomain POD-TPWL for reservoir history matching
Two past forms inducing conjectural or non-intrusive questions
Non-intrusive speech quality assessment using context-aware neural networks
Data-driven models for crashworthiness optimisation: intrusive and non-intrusive model order reduction techniques
Resilient data-driven non-intrusive load monitoring for efficient energy management using machine learning techniques
Fast simulation of coronary in‐stent restenosis: A non‐intrusive data‐driven reduced order surrogate model
Fast simulation of coronary in‐stent restenosis: A non‐intrusive data‐driven reduced order surrogate model
Non-intrusive finite element reliability analysis methods
Non-intrusive finite element reliability analysis methods
Machine Learning for Non-Intrusive Load Monitoring
Automated and non-intrusive provenance capture with UML2PROV
A brief review of reduced order models using intrusive and non‐intrusive techniques
Non-intrusive subdomain POD-TPWL for reservoir history matching
Two past forms inducing conjectural or non-intrusive questions