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An Optimized Recurrent Unit for Ultra-Low-Power Keyword Spotting
The Arm M0+ implementation of the eGRU model compares favorably with a full precision GRU that is running on a workstation.
Dual Objective Approach Using A Convolutional Neural Network for Magnetic Resonance Elastography
Traditionally, nonlinear inversion, direct inversion, or wave estimation methods have been used for reconstructing images from MRE displacement data.
DeepCough: A Deep Convolutional Neural Network in A Wearable Cough Detection System
In this paper, we present a system that employs a wearable acoustic sensor and a deep convolutional neural network for detecting coughs.
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