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EEG-Based Drowsiness Detection With Fuzzy Independent Phase-Locking Value Representations Using Lagrangian-Based Deep Neural Networks

  • Published:2022-01 Issue:1 Volume:52 Page:101-111
  • ISSN:2168-2216
  • Container-title:IEEE Transactions on Systems, Man, and Cybernetics: Systems
  • language:
  • Short-container-title:IEEE Trans. Syst. Man Cybern, Syst.

Author:

Reddy Tharun KumarORCID,Arora VipulORCID,Gupta Vinay,Biswas Rupam,Behera LaxmidharORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering,Software

Cited by 18 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. EEG-Based Driver Fatigue Detection Using Spatio-Temporal Fusion Network With Brain Region Partitioning Strategy;IEEE Transactions on Intelligent Transportation Systems;2024-08

2. An automated and highly efficient driver drowsiness detection and alert system using electroencephalography signals for safe driving;Multimedia Tools and Applications;2024-08-01

3. Fuzzy Machine Learning: A Comprehensive Framework and Systematic Review;IEEE Transactions on Fuzzy Systems;2024-07

4. A Survey of EEG-Based Driver State and Behavior Detection for Intelligent Vehicles;IEEE Transactions on Biometrics, Behavior, and Identity Science;2024-07

5. Masked EEG Modeling for Driving Intention Prediction;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30
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