Pages that link to "Item:Q2125587"
From MaRDI portal
The following pages link to A long short-term memory embedding for hybrid uplifted reduced order models (Q2125587):
Displaying 14 items.
- Efficient computations for linear feedback control problems for target velocity matching of Navier-Stokes flows via POD and LSTM-ROM (Q2030428) (← links)
- Multi-fidelity meta modeling using composite neural network with online adaptive basis technique (Q2060166) (← links)
- Assessments of epistemic uncertainty using Gaussian stochastic weight averaging for fluid-flow regression (Q2083714) (← links)
- Latent-space time evolution of non-intrusive reduced-order models using Gaussian process emulation (Q2115690) (← links)
- A POD-Galerkin reduced order model for the Navier-Stokes equations in stream function-vorticity formulation (Q2166531) (← links)
- A non-intrusive reduced-order modeling for uncertainty propagation of time-dependent problems using a B-splines Bézier elements-based method and proper orthogonal decomposition: application to dam-break flows (Q2239110) (← links)
- A nudged hybrid analysis and modeling approach for realtime wake-vortex transport and decay prediction (Q2245302) (← links)
- Numerical Assessment of a Nonintrusive Surrogate Model Based on Recurrent Neural Networks and Proper Orthogonal Decomposition: Rayleigh–Bénard Convection (Q5880415) (← links)
- Neural-network-augmented projection-based model order reduction for mitigating the Kolmogorov barrier to reducibility (Q6054198) (← links)
- Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution (Q6068233) (← links)
- Physics Guided Machine Learning for Variational Multiscale Reduced Order Modeling (Q6097872) (← links)
- \textit{FastSVD-ML-ROM}: a reduced-order modeling framework based on machine learning for real-time applications (Q6116133) (← links)
- Real-time computing for a parameterized feedback control problem of Boussinesq equations by POD and deep learning (Q6586295) (← links)
- A surrogate reduced order model of the unsteady advection dominant problems based on combination of deep autoencoders-LSTM and POD (Q6645093) (← links)
