IEEE

Dynamic Process Monitoring Using Total Multirate Linear Gaussian State Space Model

Abstract: Conventional data-driven dynamic process monitoring methods usually rely on data collected at a single sampling rate. The effectiveness of these approaches typically diminishes when ...
IEEE

Adaptive Two-Stage Model for Bearing Remaining Useful Life Prediction Using Gaussian Process Regression With Matched Kernels

Abstract: Stemming from complex mechanisms and working conditions of bearings, single degradation models often fail to adequately describe complex degradation process and provide reliable prediction ...
GitHub

Matt2371/PINN_navier_stokes

This project is about using Physics Informed Neural Networks (PINN) to solve unsteady turbulent flows using the Navier-Stokes equations. Specifically, given sparse observations (in this case, a mere 0 ...
GitHub

Structural Equation Modeling (SEM) Using Python

This repository provides a comprehensive implementation of Structural Equation Modeling (SEM) using Python and the semopy library. SEM is a statistical technique that combines factor analysis and path ...