Correction to: Review of Machine Learning Techniques for EEG Based Brain Computer Interface.
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- 2022
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- Publication type:
- Correction Notice
Works by Chugh, Nupur
Results: 7
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Review of Machine Learning Techniques for EEG Based Brain Computer Interface.
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- Archives of Computational Methods in Engineering, 2022, v. 29, n. 5, p. 3001, doi. 10.1007/s11831-021-09684-6
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- Publication type:
- Article
3
Statistical analysis of Hindi multi-word expressions using multiple threshold method.
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- Discover Artificial Intelligence, 2025, v. 5, n. 1, p. 1, doi. 10.1007/s44163-025-00291-z
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- Publication type:
- Article
4
Hybrid Brain–Computer Interface Spellers: A Walkthrough Recent Advances in Signal Processing Methods and Challenges.
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- International Journal of Human-Computer Interaction, 2023, v. 39, n. 15, p. 3096, doi. 10.1080/10447318.2022.2093445
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- Publication type:
- Article
5
Spatial Decoding for Gaze Independent Brain–Computer Interface Based on Covert Visual Attention Shift Using Electroencephalography.
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- Clinical EEG & Neuroscience, 2024, v. 55, n. 4, p. 477, doi. 10.1177/15500594241229187
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- Publication type:
- Article
6
The Hybrid Deep Learning Model for Identification of Attention-Deficit/Hyperactivity Disorder Using EEG.
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- Clinical EEG & Neuroscience, 2024, v. 55, n. 1, p. 22, doi. 10.1177/15500594231193511
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- Publication type:
- Article
7
Ethical Implications of Closed Loop Brain Device: 10-Year Review.
- Published in:
- Minds & Machines, 2020, v. 30, n. 1, p. 145, doi. 10.1007/s11023-020-09518-7
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- Publication type:
- Article