Large Transformers are Better EEG Learners

no code implementations • 20 Aug 2023 • Bingxin Wang, Xiaowen Fu, Yuan Lan, Luchan Zhang, Wei Zheng, Yang Xiang

The proposed approach allows for seamless integration of pre-trained vision models and language models in time series decoding tasks, particularly in EEG data analysis.

EEG Eeg Decoding +3

Urban traffic dynamic rerouting framework: A DRL-based model with fog-cloud architecture

no code implementations • 11 Oct 2021 • Runjia Du, Sikai Chen, Jiqian Dong, Tiantian Chen, Xiaowen Fu, Samuel Labi

To address this question, this study proposes a two-stage model that combines GAQ (Graph Attention Network - Deep Q Learning) and EBkSP (Entropy Based k Shortest Path) using a fog-cloud architecture, to reroute vehicles in a dynamic urban environment and therefore to improve travel efficiency in terms of travel speed.

Graph Attention Q-Learning