• Publications
  • Influence
Connectivity brain networks based on wavelet correlation analysis in Parkinson fMRI data
Recent studies have shown that aging, psychiatric and neurologic diseases, and dopaminergic blockade all result in altered brain network efficiency. We investigated the efficiency of human brainExpand
  • 108
  • 10
Brain Dynamics in Predicting Driving Fatigue Using a Recurrent Self-Evolving Fuzzy Neural Network
This paper proposes a generalized prediction system called a recurrent self-evolving fuzzy neural network (RSEFNN) that employs an on-line gradient descent learning rule to address theExpand
  • 63
  • 5
An Interval Type-2 Neural Fuzzy System for Online System Identification and Feature Elimination
We propose an integrated mechanism for discarding derogatory features and extraction of fuzzy rules based on an interval type-2 neural fuzzy system (NFS)-in fact, it is a more general scheme that canExpand
  • 35
  • 3
Fuzzy Integral With Particle Swarm Optimization for a Motor-Imagery-Based Brain–Computer Interface
A brain–computer interface (BCI) system using electroencephalography signals provides a convenient means of communication between the human brain and a computer. Motor imagery (MI), in which motorExpand
  • 32
  • 3
Weighted Fuzzy Dempster–Shafer Framework for Multimodal Information Integration
This study proposes an architecture based on a weighted fuzzy Dempster–Shafer framework (WFDSF), which can adjust weights associated with inconsistent evidence obtained by different classificationExpand
  • 28
  • 2
EEG-Based Brain-Computer Interfaces: A Novel Neurotechnology and Computational Intelligence Method
Brain-computer interfaces (BCIs) [1], [2] have recently been shown to be the most promising conduits for individuals with disabilities or reduced mobility to allow communication with the externalExpand
  • 17
  • 2
Forehead EEG in Support of Future Feasible Personal Healthcare Solutions: Sleep Management, Headache Prevention, and Depression Treatment
There are current limitations in the recording technologies for measuring EEG activity in clinical and experimental applications. Acquisition systems involving wet electrodes are time-consuming andExpand
  • 23
  • 1
Driving fatigue prediction with pre-event electroencephalography (EEG) via a recurrent fuzzy neural network
We propose an electroencephalography (EEG) prediction system based on a recurrent fuzzy neural network (RFNN) architecture to assess drivers' fatigue degrees during a virtual-reality (VR) dynamicExpand
  • 12
  • 1
EEG-based driving fatigue prediction system using functional-link-based fuzzy neural network
This study presents a fuzzy prediction system for the forecasting and estimation of driving fatigue, which utilizes a functional-link-based fuzzy neural network (FLFNN) to predict the drowsiness (DS)Expand
  • 8
  • 1
Multi-objective optimization on robust airline schedule recover problem by using evolutionary computation
In this paper, we propose a method of multi-objective optimization evolutionary computation by using evaluated preference genetic algorithm (EPGA). The method is applied to quickly solve aExpand
  • 3
  • 1