eLife

Human brain dynamics and spatiotemporal trajectories during threat processing

Intrinsic neural attractors and extrinsic environmental inputs jointly steer the dynamic trajectories of brain activity ...
GitHub

Model-Based Clustering and Variable Selection for Multivariate Count Data

Model-based clustering provides a principled way of developing clustering methods. We develop a new model-based clustering methods for count data. The method combines clustering and variable selection ...
IEEE

Markov Modeling of Signal Condition Transitions for Bearing Diagnostics Under External Interference Conditions

Abstract: In real-world scenarios, the performance of rolling bearings can be significantly affected by frequent environmental disturbances, including high-energy fluctuations, transient noises, ...
IEEE

A Hankel Matrix-Based Multivariate Control Chart With Shrinkage Estimator for Condition Monitoring of Rolling Bearings

Abstract: Rolling element bearings are crucial key components in rotating machinery, and it is essential to monitor their condition to prevent unexpected breakdown or safety incidents. However, ...
GitHub

AKDE: Multivariate Adaptive Kernel Density Estimation Using Gaussian Mixture Model

AKDE provides an accurate, adaptive kernel density estimator based on the Gaussian Mixture Model for multidimensional data. This Python implementation includes automatic grid construction for ...