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Raj VA, Parupudi T, K VK, Thalengala A, Nayak SG. Physiological Artifact Suppression in EEG Signals Using an Efficient Multi-Scale Depth-Wise Separable Convolution and Variational Attention Deep Learning Model for Improved Neurological Health Signal Quality. Technologies. 2025; 13(12):578. https://doi.org/10.3390/technologies13120578

Raj, Vandana Akshath, Tejasvi Parupudi, Vishnumurthy Kedlaya K, Ananthakrishna Thalengala, and Subramanya G. Nayak. 2025. "Physiological Artifact Suppression in EEG Signals Using an Efficient Multi-Scale Depth-Wise Separable Convolution and Variational Attention Deep Learning Model for Improved Neurological Health Signal Quality" Technologies 13, no. 12: 578. https://doi.org/10.3390/technologies13120578

Raj, V. A., Parupudi, T., K, V. K., Thalengala, A., & Nayak, S. G. (2025). Physiological Artifact Suppression in EEG Signals Using an Efficient Multi-Scale Depth-Wise Separable Convolution and Variational Attention Deep Learning Model for Improved Neurological Health Signal Quality. Technologies, 13(12), 578. https://doi.org/10.3390/technologies13120578