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Ahmed M Azab

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
Estimation of joint angle based on surface electromyogram signals recorded at different load levelsAhmed M Azab, Mahanz Arvanch, Lyudmila S Mihaylova
Journal of Neural Engineering|December 21, 2019
Dynamic time warping-based transfer learning for improving common spatial patterns in brain-computer interfaceAhmed M Azab, Hamed Ahmadi, Lyudmila Mihaylova, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|June 21, 2019
Weighted Transfer Learning for Improving Motor Imagery-Based Brain-Computer InterfaceAhmed M Azab, Lyudmila Mihaylova, Kai Keng Ang, et al.
Journal of Neuroengineering and Rehabilitation|April 10, 2023
Generative adversarial networks in EEG analysis: an overviewAhmed G Habashi, Ahmed M Azab, Seif Eldawlatly, et al.
Journal of Neural Engineering|July 19, 2024
Toward calibration-free motor imagery brain-computer interfaces: a VGG-based convolutional neural network and WGAN approachA G Habashi, Ahmed M Azab, Seif Eldawlatly, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
Estimation of joint angle based on surface electromyogram signals recorded at different load levelsAhmed M Azab, Mahanz Arvanch, Lyudmila S Mihaylova
Journal of Neural Engineering|December 21, 2019
Dynamic time warping-based transfer learning for improving common spatial patterns in brain-computer interfaceAhmed M Azab, Hamed Ahmadi, Lyudmila Mihaylova, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|June 21, 2019
Weighted Transfer Learning for Improving Motor Imagery-Based Brain-Computer InterfaceAhmed M Azab, Lyudmila Mihaylova, Kai Keng Ang, et al.
Journal of Neuroengineering and Rehabilitation|April 10, 2023
Generative adversarial networks in EEG analysis: an overviewAhmed G Habashi, Ahmed M Azab, Seif Eldawlatly, et al.
Journal of Neural Engineering|July 19, 2024
Toward calibration-free motor imagery brain-computer interfaces: a VGG-based convolutional neural network and WGAN approachA G Habashi, Ahmed M Azab, Seif Eldawlatly, et al.
Pageof 1