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Subramanya G Nayak

Professor

Manipal University

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Research Interests

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Professors in Neuropsychology

Articles (20)

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2026

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2026

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2026

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2025

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2024

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2024

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2024

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2024

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2024

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2023

Collaborators (4)

Vishnumurthy Kedlaya

Assistant Professor

Manipal Institute of Technology

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Tejasvi Parupudi

Assistant teaching professor

Arizona State University

UNITED STATES

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Shyamasunder Bhat

Professor & Unit Head

Kasturba Medical College, Manipal

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Ananthakrishna Thalengala

Associate Professor

Manipal Institute of Technology

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Subramanya G Nayak

Research Interests

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Articles (20)

Physiological artifacts removal in EEG signals: a comprehensive overview of conventional to deep learning methods to support brain health monitoring

Transformer Architectures for Denoising EEG Signals: Advances, Technical Challenges, and Emerging Trends

Classification of target and non-target stimuli based on EEG signal during n-back working memory task

A Reconfigurable IEEE-754 FP32 Fused Multiply Accumulate Architecture with Hybrid Multiplier and Prefix Adder Optimization

Design and Analysis of a 5-Port Router with Enhanced Features for NoC Applications

Design of a Low-Power FBHA-OCSLA Hybrid Adder for High-Speed VLSI Systems

Comparative Analysis of CT Scan Resolutions for Accurate Vertebral Segmentation and 3D Modeling

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

A hybrid framework for muscle artifact removal in EEG: combining variational mode decomposition, stationary wavelet transform, and canonical correlation analysis

A comprehensive review of deep learning models for denoising EEG signals: challenges, advances, and future directions

A comparative analysis of advanced source decomposition techniques for ocular artifact removal from EEG signals

Multiport Router: Design and Verification for On-Chip Applications

High Speed Signed 8-bit Multiplier using Booth Encoding and Dadda Tree Architecture

Identification of Vertebrae in CT Scans for Improved Clinical Outcomes Using Advanced Image Segmentation

Performance Analysis of Advanced Filtering Techniques for Removal of EEG Muscle Artifacts

Development of Power-Delay Product Optimized ASIC-Based Computational Unit for Medical Image Compression

Feature-based Stationary Wavelet Transform for Removal of EEG Ocular Artifacts

Machine Learning Enabled Photoacoustic Spectroscopy for Noninvasive Assessment of Breast Tumor Progression <i>In Vivo</i>: A Preclinical Study

Quantitative Analysis of Age-Associated Bone Mineral Density Variations via Automated Segmentation: Using CT Scans and Radon Transform to Accurately Examine and Assess the Vertebrae

ASIC Design and Implementation of a Power-Delay Product Optimized Arithmetic Operational Unit

Collaborators (4)

Vishnumurthy Kedlaya

Tejasvi Parupudi

Shyamasunder Bhat

Ananthakrishna Thalengala

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