A Numerical and Experimental Investigation of the Most Fundamental Time-Domain Input-Output System Identification Methods for the Normal Modal Analysis of Flexible Structures. [PDF]
Lök Şİ +3 more
europepmc +1 more source
Nonlinear Model Order Reduction on Polynomial Manifolds for Computational Homogenisation Problems
ABSTRACT Model order reduction (MOR) techniques utilising nonlinear approximation spaces can search for solutions to computational homogenisation problems on low‐dimensional approximation spaces. In combination with hyperreduction techniques, this allows for computations on representative volume elements (RVEs) to be accelerated by multiple orders of ...
Erik Faust, Lisa Scheunemann
wiley +1 more source
Low-Altitude Target Localization Method Based on Exogenous Radar with Multi-Base Station and 5G SSB Signals. [PDF]
Xu Y +5 more
europepmc +1 more source
Simultaneous Inversion for Underactuated Mechanical Systems with Servo‐Constraints
ABSTRACT The dynamic inversion of underactuated mechanical systems can be formulated in the servo‐constraint framework using a set of differential‐algebraic equations (DAEs). In case of a high differentiation index, the inversion‐based feedforward control design poses significant challenges.
Tengman Wang
wiley +1 more source
Non-destructive estimation of maize carotenoids using reflectance-based spectral indices. [PDF]
Nagy A +4 more
europepmc +1 more source
Iterative Krylov Subspace Methods for Linear Port‐Hamiltonian Systems
ABSTRACT In this work, we present a structure‐preserving Krylov subspace iteration scheme for solving the equation systems that arise from the Gauss integration of linear energy‐conserving and dissipative differential systems (e.g., Poisson systems, gradient systems, and port‐Hamiltonian systems).
Stefan Maier, Nicole Marheineke
wiley +1 more source
Progressively shifting patterns of co-modulation among premotor cortex neurons carry dynamically similar signals during action execution and observation. [PDF]
Zhao Z, Schieber MH.
europepmc +1 more source
Applications of large‐scale artificial intelligence models in bioinformatics
Abstract Large‐scale artificial intelligence (AI) models can mine potential patterns from massive amounts of data and provide more accurate analyses. This capability has enabled its gradual application in various areas of bioinformatics. However, few reviews have comprehensively summarized the applications of different types of large‐scale AI models in
Mingjing Li +5 more
wiley +1 more source
Finite Element Model Updating for a Continuous Beam-Arch Composite Bridge Based on the RSM and a Nutcracker Optimization Algorithm. [PDF]
Zhou W +6 more
europepmc +1 more source

