3 citations · 7 across the 10 of their papers we have counts for
4 papers · 1 filter
Masked EEG Modeling for Driving Intention Prediction
Jinzhao Zhou, Justin Sia, Yiqun Duan +3
Driving under drowsy conditions significantly escalates the risk of vehicular accidents. Although recent efforts have focused on using electroencephalography to detect drowsiness,…
Supervised Discriminative Sparse PCA with Adaptive Neighbors for Dimensionality Reduction
Zhenhua Shi, Dongrui Wu, Jian Huang +2
Dimensionality reduction is an important operation in information visualization, feature extraction, clustering, regression, and classification, especially for processing noisy hig…
EEG-based Drowsiness Estimation for Driving Safety using Deep Q-Learning
Yurui Ming, Dongrui Wu, Yu-Kai Wang +2
Fatigue is the most vital factor of road fatalities and one manifestation of fatigue during driving is drowsiness. In this paper, we propose using deep Q-learning to analyze an ele…
Adaptive Initialization Method for K-means Algorithm
Jie Yang, Yu-Kai Wang, Xin Yao +1
The K-means algorithm is a widely used clustering algorithm that offers simplicity and efficiency. However, the traditional K-means algorithm uses the random method to determine th…