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Sujit Roy, (PhD Researcher)

  • 5 Citations
  • 1 h-Index
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  • 7 Similar Profiles
Brain computer interface Engineering & Materials Science
Magnetoencephalography Engineering & Materials Science
Electroencephalography Engineering & Materials Science
Graphene Engineering & Materials Science
Sulfur Engineering & Materials Science
Neural networks Engineering & Materials Science
Electrodes Engineering & Materials Science
Oxides Engineering & Materials Science

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Research Output 2017 2019

  • 5 Citations
  • 1 h-Index
  • 2 Conference contribution
  • 1 Article

Can a Single Model Deep Learning Approach Enhance Classification Accuracy of an EEG-based Brain-Computer Interface?

Roy, S., McCreadie, K. & Prasad, G., 23 Jun 2019, (Accepted/In press) Proc. 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC) October 6-9, 2019, Bari, Italy. Vol. IEEE. 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
Brain computer interface
Neural networks

Channel Selection Improves MEG-based Brain-Computer Interface

Roy, S., Rathee, D., McCreadie, K. & Prasad, G., 20 May 2019, 9th International IEEE EMBS Conference on Neural Engineering, NER 2019. United States, Vol. 2019-March. p. 295-298 4 p. 8716948. (International IEEE/EMBS Conference on Neural Engineering).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
Brain computer interface
Data recording
Convergence of numerical methods
Frequency bands
5 Citations (Scopus)

3-D vertically aligned few layer graphene-partially reduced graphene oxide/sulfur electrodes for high performance lithium-sulfur batteries

Singh, D. P., Soin, N., Sharma, S., Basak, S., Sachdeva, S., Roy, S. S., Zanderbergen, H. W., McLaughlin, J. A., Huijben, M. & Wagemaker, M., 13 Jul 2017, 1, 7, p. 1516-1523 8 p.

Research output: Contribution to journalArticle

Open Access