Justice Amoh

Painting and Sculpture

About

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Research Summary

(inferred from publications by AI)

The researcher integrates advanced signal processing, imaging, and biometrical techniques across healthcare, physics, and engineering to develop deep learning methods for physiological sound detection, wearable device monitoring of bodily functions, advancing geophysical research in ionosphere/magnetosphere, contributing to medical imaging with bioimpedance tomography, and enhancing detection systems using convolutional neural networks in MRI elastography.

Research Themes

All (10 Papers)

Health Sciences (5 Papers)

Physical Sciences (5 Papers)

All Papers

Deep Neural Networks for Identifying Cough Sounds(2016)

Technologies for Developing Ambulatory Cough Monitoring Devices(2014)

DeepCough: A deep convolutional neural network in a wearable cough detection system(2015)

DeepCough: A Deep Convolutional Neural Network in A Wearable Cough\n Detection System(2015)

Detecting Media Sound Presence in Acoustic Scenes(2018)

An Optimized Recurrent Unit for Ultra-Low-Power Keyword Spotting(2019)

Mass density at geostationary orbit and apparent mass refilling(2016)

Density, composition, and field line dependence of bulk plasma at geosynchronous orbit versus local time, season, and solar cycle phase(2011)

Noise-robust bioimpedance approach for cardiac output measurement(2019)

Dual Objective Approach Using A Convolutional Neural Network for Magnetic Resonance Elastography(2018)

Collaboration Network

No collaborations found in the dataset.

About This Profile

This profile is generated from publicly available publication metadata and is intended for research discovery purposes. Themes, summaries, and trajectories are inferred computationally and may not capture the full scope of the lecturer's work. For authoritative information, please refer to the official KNUST profile.