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Electronic Communication Engineering
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Dive into the research topics where Subramanya G Nayak is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Classification of target and non-target stimuli based on EEG signal during n-back working memory task
Bhat, S., Thalengala, A., Nayak, S. G. & Kaladgikar, I. A. A., 2026, Coresource 4. CRC Press, p. 57-61 5 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter
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Physiological artifacts removal in EEG signals: a comprehensive overview of conventional to deep learning methods to support brain health monitoring
Akshath Raj, V., Nayak, S. G., Thalengala, A. & Mendez, T., 2026, In: Cogent Engineering. 13, 1, 2664254.Research output: Contribution to journal › Review article › peer-review
Open Access -
A comparative analysis of advanced source decomposition techniques for ocular artifact removal from EEG signals
Akshath Raj, V., Nayak, S. G. & Thalengala, A., 09-2025, In: Engineering Research Express. 7, 3, 035354.Research output: Contribution to journal › Article › peer-review
Open Access3 Link opens in a new tab Citations (Scopus) -
A comprehensive review of deep learning models for denoising EEG signals: challenges, advances, and future directions
Raj, V. A., Parupudi, T., Thalengala, A. & Nayak, S. G., 11-2025, In: SN Applied Sciences. 7, 11, 1268.Research output: Contribution to journal › Review article › peer-review
Open Access7 Link opens in a new tab Citations (Scopus) -
A hybrid framework for muscle artifact removal in EEG: combining variational mode decomposition, stationary wavelet transform, and canonical correlation analysis
Akshath Raj, V., Nayak, S. G. & Thalengala, A., 2025, In: Cogent Engineering. 12, 1, 2514941.Research output: Contribution to journal › Article › peer-review
Open Access8 Link opens in a new tab Citations (Scopus)