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Weidong Dang

Showing results (1-10 of 7) with videos related to

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IEEE Journal of Biomedical and Health Informatics|August 6, 2020
Rhythm-Dependent Multilayer Brain Network for the Detection of Driving FatigueWeidong Dang, Zhongke Gao, Dongmei Lv, et al.
IEEE Journal of Biomedical and Health Informatics|February 16, 2021
Attention-Based Parallel Multiscale Convolutional Neural Network for Visual Evoked Potentials EEG ClassificationZhongke Gao, Xinlin Sun, Mingxu Liu, et al.
Journal of Neuroscience Methods|February 5, 2026
Multiscale spatiotemporal neural network with multi-attention mechanism using brain partitioning for motor imagery recognitionMoeed Sehnan, Haoyu Li, Xiaoyang Li, et al.
Cognitive Neurodynamics|May 27, 2021
Complex networks and deep learning for EEG signal analysisZhongke Gao, Weidong Dang, Xinmin Wang, et al.
IEEE Transactions on Neural Networks and Learning Systems|January 15, 2019
EEG-Based Spatio-Temporal Convolutional Neural Network for Driver Fatigue EvaluationZhongke Gao, Xinmin Wang, Yuxuan Yang, et al.
Journal of Sleep Research|October 30, 2025
MSDA-Net: Multiscale Spatiotemporal Dual-Attention Network for EEG-Based Driver Fatigue DetectionIsah Bello, Moeed Sehnan, Weidong Dang, et al.
IEEE Journal of Biomedical and Health Informatics|October 23, 2025
ML-TGNet: A Multi-Level Topology Guidance Network for Motor Imagery DecodingWeidong Dang, Zichen Ren, Jialu Sun, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
IEEE Journal of Biomedical and Health Informatics|August 6, 2020
Rhythm-Dependent Multilayer Brain Network for the Detection of Driving FatigueWeidong Dang, Zhongke Gao, Dongmei Lv, et al.
IEEE Journal of Biomedical and Health Informatics|February 16, 2021
Attention-Based Parallel Multiscale Convolutional Neural Network for Visual Evoked Potentials EEG ClassificationZhongke Gao, Xinlin Sun, Mingxu Liu, et al.
Journal of Neuroscience Methods|February 5, 2026
Multiscale spatiotemporal neural network with multi-attention mechanism using brain partitioning for motor imagery recognitionMoeed Sehnan, Haoyu Li, Xiaoyang Li, et al.
Cognitive Neurodynamics|May 27, 2021
Complex networks and deep learning for EEG signal analysisZhongke Gao, Weidong Dang, Xinmin Wang, et al.
IEEE Transactions on Neural Networks and Learning Systems|January 15, 2019
EEG-Based Spatio-Temporal Convolutional Neural Network for Driver Fatigue EvaluationZhongke Gao, Xinmin Wang, Yuxuan Yang, et al.
Journal of Sleep Research|October 30, 2025
MSDA-Net: Multiscale Spatiotemporal Dual-Attention Network for EEG-Based Driver Fatigue DetectionIsah Bello, Moeed Sehnan, Weidong Dang, et al.
IEEE Journal of Biomedical and Health Informatics|October 23, 2025
ML-TGNet: A Multi-Level Topology Guidance Network for Motor Imagery DecodingWeidong Dang, Zichen Ren, Jialu Sun, et al.
Pageof 1