Vascular flow modelling can improve our understanding of vascular pathologies and aid in
develo** safe and effective medical devices. Vascular flow models typically involve …

This study explores challenges in multivariate modal decomposition for various flow
scenarios, emphasizing the problem of inconsistent physical modes in Proper Orthogonal …

Dynamic mode decomposition (DMD) describes the dynamical system in an equation-free
manner and can be used for the prediction and control. It is an efficient data-driven method …

We present a new data-driven reduced-order modeling approach to efficiently solve
parametrized partial differential equations (PDEs) for many-query problems. This work is …

This paper presents a new method for time-frequency representation (TFR) using dynamic
mode decomposition (DMD) and Wigner-Ville distribution (WVD), which is termed as DMD …

Real-world systems often exhibit dynamics influenced by various parameters, either inherent
or externally controllable, necessitating models capable of reliably capturing these …