Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution-Reference-Cited by-同舟云学术

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Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution

Published:2021-05-28 Issue:2 Volume:44 Page:
ISSN:0936-7195
Container-title:GAMM-Mitteilungen
language:en
Short-container-title:GAMM‐Mitteilungen

Author:

San Omer¹^ORCID,Rasheed Adil²³^ORCID,Kvamsdal Trond³⁴^ORCID

Affiliation:

1. School of Mechanical & Aerospace Engineering Oklahoma State University Stillwater Oklahoma USA

2. Department of Engineering Cybernetics Norwegian University of Science and Technology Trondheim Norway

3. Department of Mathematics and Cybernetics SINTEF Digital Trondheim Norway

4. Department of Mathematical Sciences Norwegian University of Science and Technology Trondheim Norway

Publisher

Wiley

Subject

Applied Mathematics,General Physics and Astronomy,General Materials Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/gamm.202100007

Reference369 articles.

1. Machine Learning: Deepest Learning as Statistical Data Assimilation Problems

2. Exploration and prediction of fluid dynamical systems using auto-encoder technology

3. A Simulation App based on reduced order modeling for manufacturing optimization of composite outlet guide vanes

4. Real-time monitoring of thermal processes by reduced-order modeling

5. Stabilized principal interval decomposition method for model reduction of nonlinear convective systems with moving shocks

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4. Digital twin for credit card fraud detection: opportunities, challenges, and fraud detection advancements;Future Generation Computer Systems;2024-09

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