GitHub

Tensor Principal Component Analysis

This repository contains MatLab code for creating empirical and simulation results reported in the paper Tensor Principal Component Analysis. Reference: Babii, Andrii, Eric Ghysels, and Junsu Pan.
IEEE

Hybrid Modeling Approach Combining Analytical and Neural Ordinary Differential Equations for Accelerated Simulation of Grid-Tied Inverter

Abstract: Fine solving time step is commonly required in the simulation of grid-tied inverters due to the fast inner-loop control and high-frequency switching behavior. However, the dynamics of the ...
IEEE

Re-LL1: An Effective Regularized (L,L,1)-Tensor Decomposition Method for Video Background Modeling and Foreground Separation

Abstract: In this paper, we proposed an efficient regularized (L,L,1)-decomposition method, called Re-LL1, to factorize a time-series tensor into block low-rank terms and sparse components. Re-LL1 ...
Utah State University

Suitability Modeler

In this part of the lab we will explore ArcGIS Pro’s Suitability Modeler, a tool that streamlines the process of combining and classifying raster layers. Unlike manual methods, the Suitability Modeler ...
GitHub

CEGINO: Continuous-Equivariant Geometry-Informed Neural Operators for 3D PDEs

CEGINO is a continuous-equivariant geometry-informed neural operator for surrogate modeling of 3D PDE fields on irregular 3D geometries. The model is designed to learn PDE solution operators on ...