IEEE

Variational Bayesian inference -Based Maximum Correntropy Kalman Filtering for Visual Tracking with Unknown Process and measurement Noise

Abstract: The paper proposes a new Kalman filtering (KF) algorithm called VBI-MCKF that combines the variational Bayesian inference (VBI)-based KF algorithm and the maximum correntropy KF (MCKF) for ...
IEEE

Remaining Useful Life Prediction Based on Interpretable Serialized Variational Autoencoder: A Drift-Diffusion Stochastic Equation Perspective

Abstract: As a proactive maintenance approach, remaining useful life (RUL) prediction plays a key role in smart operation and maintenance of industrial systems. To enhance the interpretability of deep ...