IEEE

Multivariate Interpolation-Multiscale Chebyshev Permutation Entropy for Bearing Fault Diagnosis

Abstract: Multivariate permutation entropy (MvPE) is an effective complexity measure method for multichannel signals, which has been widely used in bearing fault diagnosis. However, existing MvPE ...
GitHub

Knowledge Entropy Decay during Language Model Pretraining Hinders New Knowledge Acquisition

This repository contains the implementation of Knowledge Entropy Decay during Language Model Pretraining Hinders New Knowledge Acquisition. The code is based on the OLMo project, with modifications to ...
GitHub

Maximum Entropy Inverse Reinforcement Learning

This is a python implementation of the Maximum Entropy Inverse Reinforcement Learning (MaxEnt IRL) algorithm based on the similarly named paper by Ziebart et al. and the Maximum Causal Entropy Inverse ...
IEEE

Identification of patients with de novo Parkinson's Disease from chemosensory EEG signals using ICEEMDAN domain Entropy Features

Abstract: Parkinson's disease (PD) is a progressive neurodegenerative disorder that impairs motor and sensory functions, with early symptoms often involving olfactory dysfunction. Given the importance ...