64 citations · 206 across the 13 of their papers we have counts for
5 papers · 1 filter
Shapelets for earthquake detection
Monica Arul, Ahsan Kareem
This paper introduces EQShapelets (EarthQuake Shapelets) a time-series shape-based approach embedded in machine learning to autonomously detect earthquakes. It promises to overcome…
Deep convolutional neural networks for uncertainty propagation in random fields
Xihaier Luo, Ahsan Kareem
The development of a reliable and robust surrogate model is often constrained by the dimensionality of the problem. For a system with high-dimensional inputs/outputs (I/O), convent…
Bayesian deep learning with hierarchical prior: Predictions from limited and noisy data
Xihaier Luo, Ahsan Kareem
Datasets in engineering applications are often limited and contaminated, mainly due to unavoidable measurement noise and signal distortion. Thus, using conventional data-driven app…
On the accuracy of stiff-accurate diagonal implicit Runge-Kutta methods for finite volume based Navier-Stokes equations
Jiawei Wan, Ahsan Kareem, Haili Liao +1
The paper aims at developing low-storage implicit Runge-Kutta methods which are easy to implement and achieve higher-order of convergence for both the velocity and pressure in the…
Dynamics of random pressure fields over bluff bodies: a dynamic mode decomposition perspective
Xihaier Luo, Ahsan Kareem
Aerodynamic pressure field over bluff bodies immersed in boundary layer flows is correlated both in space and time. Conventional approaches for the analysis of distributed aerodyna…