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Hamdi Altaheri

Postdoctoral Researcher

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Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: A review


Journal article


Hamdi Altaheri, Ghulam Muhammad, Mansour Alsulaiman, Syed Umar Amin, Ghadir Ali Altuwaijri, Wadood Abdul, Mohamed A Bencherif, Mohammed Faisal
Neural Computing and Applications, vol. 35, Springer, 2023, pp. 14681--14722

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Cite

APA   Click to copy
Altaheri, H., Muhammad, G., Alsulaiman, M., Amin, S. U., Altuwaijri, G. A., Abdul, W., … Faisal, M. (2023). Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: A review. Neural Computing and Applications, 35, 14681–14722.


Chicago/Turabian   Click to copy
Altaheri, Hamdi, Ghulam Muhammad, Mansour Alsulaiman, Syed Umar Amin, Ghadir Ali Altuwaijri, Wadood Abdul, Mohamed A Bencherif, and Mohammed Faisal. “Deep Learning Techniques for Classification of Electroencephalogram (EEG) Motor Imagery (MI) Signals: A Review.” Neural Computing and Applications 35 (2023): 14681–14722.


MLA   Click to copy
Altaheri, Hamdi, et al. “Deep Learning Techniques for Classification of Electroencephalogram (EEG) Motor Imagery (MI) Signals: A Review.” Neural Computing and Applications, vol. 35, Springer, 2023, pp. 14681–722.


BibTeX   Click to copy

@article{altaheri2023a,
  title = {Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: A review},
  year = {2023},
  journal = {Neural Computing and Applications},
  pages = {14681--14722},
  publisher = {Springer},
  volume = {35},
  author = {Altaheri, Hamdi and Muhammad, Ghulam and Alsulaiman, Mansour and Amin, Syed Umar and Altuwaijri, Ghadir Ali and Abdul, Wadood and Bencherif, Mohamed A and Faisal, Mohammed}
}


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