Abstract Dynamic Mode Decomposition (DMD) is a model-order reduction approach,
whereby spatial modes of fixed temporal frequencies are extracted from numerical or …

Due to the rise of e-mobility applications, there is an increased demand to create more
accurate control methods, which can reduce the loss in an e-drive system. The accurate …

Despite the availability of advanced numerical capabilities and computational power,
complex multi-physical, multiscale systems continue to challenge modeling efforts due to …

The field of model order reduction (MOR) has seen significant advancements in addressing
the challenges associated with the complexity of mathematical models in engineering and …

The Model Order Reduction has indeed gained significant attention due to the
advancements in automation and control system engineering. The need of more accurate …

Image fusion is a popular research direction in the field of computer vision. Traditional image
fusion algorithms can achieve good results in fusing grayscale images, but it is difficult to …

The aim of this article is to present a novel model-order reduction (MOR) algorithm for fast
finite-element frequency-domain simulations of microwave two-port structures. The …

Processes described by the advection-diffusion-reaction (ADR) equation often arise in
heterogeneous media. Of particular interest is the case of layered or otherwise composite …

In this study, a novel homogenization method based on the B-input Cauer ladder network
(CLN) method, which is a new variant of the CLN method, is proposed. This method yields …

The frequency response functions (FRFs) are of critical interest to dynamic problems,
however, they suffer from computational challenges for viscoelastically damped systems. In …