eLife

Compressed sensing-based approach identifies modular neural circuitry driving learned pathogen avoidance

An efficient neural screening approach rapidly identifies circuit modules governing distinct behavioral transitions in response to pathogen exposure.
IEEE

A GPSR-Based Sparse ECG Signal Recovery Approach for Hybrid Compressive Sensing Framework and Its Classification Using Deep Convolution Neural Network

Abstract: Research on Compressive Sensing (CS) framework for ECG signals are of 3 categories. Category 1) involves CS for a single frame of ECG signal and performance analysis of reconstructed frame.
IEEE

Enhanced Radar Fall Detection via Compressed Sensing and Deep Learning-Assisted Point Cloud Generation

Abstract: Existing fall detection based on radar point cloud faces the challenges of low resolution point cloud estimation and sparsity, which seriously restricts the system detection performance.