most citedAn Efficient Mixture of Deep and Machine Learning Models for COVID-19 and Tuberculosis Detection Using X-Ray Images in Resource Limited Settings

41 citations · 90 across the 4 of their papers we have counts for

collaborators

4 papers

cs.RO2022

Multiresolution Dual-Polynomial Decomposition Approach for Optimized Characterization of Motor Intent in Myoelectric Control Systems

Oluwarotimi Williams Samuel, Mojisola Grace Asogbon, Rami Khushaba +2

Surface electromyogram (sEMG) is arguably the most sought-after physiological signal with a broad spectrum of biomedical applications, especially in miniaturized rehabilitation rob…

eess.SP2022★ 31 cited

Radar-based Materials Classification Using Deep Wavelet Scattering Transform: A Comparison of Centimeter vs. Millimeter Wave Units

Rami N. Khushaba, Andrew J. Hill

Radar-based materials detection received significant attention in recent years for its potential inclusion in consumer and industrial applications like object recognition for grasp…

cs.LG2022★ 18 cited

A Machine Learning Approach for Material Type Logging and Chemical Assaying from Autonomous Measure-While-Drilling (MWD) Data

Rami N Khushaba, Arman Melkumyan, Andrew J Hill

Understanding the structure and mineralogical composition of a region is an essential step in mining, both during exploration (before mining) and in the mining process. During expl…

eess.IV2020★ 41 cited

An Efficient Mixture of Deep and Machine Learning Models for COVID-19 and Tuberculosis Detection Using X-Ray Images in Resource Limited Settings

Ali H. Al-Timemy, Rami N. Khushaba, Zahraa M. Mosa +1

Clinicians in the frontline need to assess quickly whether a patient with symptoms indeed has COVID-19 or not. The difficulty of this task is exacerbated in low resource settings t…