Results 151 to 160 of about 110,162 (274)

Non‐Linear Reduced Order Modelling of Transonic Potential Flows for Fast Aerodynamic Analysis

International Journal for Numerical Methods in Engineering, Volume 127, Issue 2, 30 January 2026.
ABSTRACT This work presents a physics‐based reduced order modelling (ROM) framework for the efficient simulation of steady transonic potential flows around aerodynamic configurations. The approach leverages proper orthogonal decomposition and a least‐squares Petrov‐Galerkin (LSPG) projection to construct intrusive ROMs for the full potential equation ...
M. Zuñiga, S. Ares de Parga, R. Zorrilla, R. Rossi   +3 more
wiley   +1 more source

Implementation of Principal Component Analysis (PCA)/Singular Value Decomposition (SVD) and Neural Networks in Constructing a Reduced-Order Model for Virtual Sensing of Mechanical Stress. [PDF]

Sensors (Basel)
Melgarejo MA, Pérez A, Ruiz D, Casas A, González F, González de Lena Alonso V.   +5 more
europepmc   +1 more source

Active Sampling of Interpolation Points to Identify Dominant Subspaces for Model Reduction

International Journal for Numerical Methods in Engineering, Volume 127, Issue 1, 15 January 2026.
ABSTRACT Model reduction is an active research field to construct low‐dimensional surrogate models of high fidelity to accelerate engineering design cycles. In this work, we investigate model reduction for linear structured systems using dominant reachable and observable subspaces.
Celine Reddig, Pawan Goyal, Igor Pontes Duff, Peter Benner   +3 more
wiley   +1 more source

Real‐Time Optimal Control of High‐Dimensional Parametrized Systems by Deep Learning‐Based Reduced Order Models

International Journal for Numerical Methods in Engineering, Volume 127, Issue 1, 15 January 2026.
ABSTRACT Steering a system towards a desired target in a very short amount of time is a challenging task from a computational standpoint. Indeed, the intrinsically iterative nature of optimal control problems requires multiple simulations of the state of the physical system to be controlled. Moreover, the control action needs to be updated whenever the
Matteo Tomasetto, Andrea Manzoni, Francesco Braghin   +2 more
wiley   +1 more source

Inconsistency Removal of Reduced Bases in Parametric Model Order Reduction by Matrix Interpolation Using Adaptive Sampling and Clustering

International Journal for Numerical Methods in Engineering, Volume 127, Issue 1, 15 January 2026.
ABSTRACT Parametric model order reduction by matrix interpolation allows for efficient prediction of the behavior of dynamic systems without requiring knowledge about the underlying parametric dependency. Within this approach, reduced models are first sampled and then made consistent with each other by transforming the underlying reduced bases. Finally,
Sebastian Resch‐Schopper, Romain Rumpler, Gerhard Müller   +2 more
wiley   +1 more source

Fast solution of 5G channel path loss in substation based on improved ray tracing method. [PDF]

Sci Prog
Chi Z, Zhendong Z, Yi L, Zhiyu S, Yuening Y.   +4 more
europepmc   +1 more source

Enhanced spectro-temporal feature extraction for prosthetic control using variational mode decomposition. [PDF]

Sci Rep
Shafiq U, Waris A, Amin F, Ullah A, Ashraf H, Khan MJ, Ijaz MA, Hazzazi F, Ansari K, Gilani SO.   +9 more
europepmc   +1 more source

Performance Analysis and Coefficient Generation Method of Parallel Hammerstein Model Under Underdetermined Condition. [PDF]

Sensors (Basel)
Hu N, Xiang Y, Li M, Li X, Tian J.
europepmc   +1 more source

Machine learning-driven development of a behaviour-based student classification system (SCS-B) for enhanced educational analytics. [PDF]

Sci Rep
Vinoth Kumar ES, Augustian Isaac R, Sundaravadivel P, Janaki Ramal P.   +3 more
europepmc   +1 more source

YUV-based SVD-VGG hybrid fusion for multimodal MRI-PET image integration. [PDF]

PLoS One
S S V V Ramesh K, Selva Kumar S.
europepmc   +1 more source