28 citations · 76 across the 7 of their papers we have counts for
7 papers
Physiologically Informed Digital Auscultation for Pneumonia Detection in Long-term Care Residents
Nicholas Rasmussen, Oleg Zaslavsky, Zih-Ling Wang +5
Pneumonia is difficult to diagnose in older long-term care residents; multimorbidity and atypical presentations obscure signs, motivating operationally efficient objective testing.…
A Multi-Modal Sensor Fusion Instrument for Measuring Regional Human Mobility: The Distributed Human Data Engine (DHDE)
Amil Khanzada, Takuji Takemoto
Accurately estimating human mobility in peripheral regional economies presents a fundamental measurement challenge: physical ground-truth sensors are sparse, behavioral intent sign…
Using a Novel COVID-19 Calculator to Measure Positive U.S. Socio-Economic Impact of a COVID-19 Pre-Screening Solution (AI/ML)
Richard Swartzbaugh, Amil Khanzada, Praveen Govindan +8
The COVID-19 pandemic has been a scourge upon humanity, claiming the lives of more than 5.1 million people worldwide; the global economy contracted by 3.5% in 2020. This paper pres…
Using Deep Learning with Large Aggregated Datasets for COVID-19 Classification from Cough
Esin Darici Haritaoglu, Nicholas Rasmussen, Daniel C. H. Tan +12
The Covid-19 pandemic has been one of the most devastating events in recent history, claiming the lives of more than 5 million people worldwide. Even with the worldwide distributio…
Virufy: A Multi-Branch Deep Learning Network for Automated Detection of COVID-19
Ahmed Fakhry, Xinyi Jiang, Jaclyn Xiao +3
Fast and affordable solutions for COVID-19 testing are necessary to contain the spread of the global pandemic and help relieve the burden on medical facilities. Currently, limited…
Virufy: Global Applicability of Crowdsourced and Clinical Datasets for AI Detection of COVID-19 from Cough
Gunvant Chaudhari, Xinyi Jiang, Ahmed Fakhry +4
Rapid and affordable methods of testing for COVID-19 infections are essential to reduce infection rates and prevent medical facilities from becoming overwhelmed. Current approaches…
Facial Expression Recognition with Deep Learning
Amil Khanzada, Charles Bai, Ferhat Turker Celepcikay
One of the most universal ways that people communicate is through facial expressions. In this paper, we take a deep dive, implementing multiple deep learning models for facial expr…