A Dynamic Domain Adaptation Deep Learning Network for EEG-based Motor Imagery Classification

This paper presents DADLNet, a dynamic domain adaptation based deep learning network framework for decoding motor imagery tasks.

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Jie Jiao, Meiyan Xu, Qingqing chen, Hefang Zhou, Wangliang Zhou, Second B. Author, and Third C. Author (2024). Dataset: A Dynamic Domain Adaptation Deep Learning Network for EEG-based Motor Imagery Classification. https://doi.org/10.57702/ffupv2ft

DOI retrieved: December 3, 2024

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Created December 3, 2024
Last update December 3, 2024
Defined In https://doi.org/10.48550/arXiv.2309.11714
Author Jie Jiao
More Authors
Meiyan Xu
Qingqing chen
Hefang Zhou
Wangliang Zhou
Second B. Author
and Third C. Author
Homepage https://ieeexplore.ieee.org/document/XXXX