4 citations · 5 across the 4 of their papers we have counts for
7 papers
A Deep Finite Difference Emulator for the Fast Simulation of Coupled Viscous Burgers' Equation
Xihaier Luo, Yihui Ren, Wei Xu +3
This work proposes a deep learning-based emulator for the efficient computation of the coupled viscous Burgers' equation with random initial conditions. In a departure from traditi…
A Machine Learning-based Characterization Framework for Parametric Representation of Nonlinear Sloshing
Xihaier Luo, Ahsan Kareem, Liting Yu +1
The growing interest in creating a parametric representation of liquid sloshing inside a container stems from its practical applications in modern engineering systems. The resonant…
Applications of shapelet transform to time series classification of earthquake, wind and wave data
Monica Arul, Ahsan Kareem
Autonomous detection of desired events from large databases using time series classification is becoming increasingly important in civil engineering as a result of continued long-t…
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…