activity
20212026
most citedA Machine Learning Approach for Delineating Similar Sound Symptoms of Respiratory Conditions on a Smartphone

2 citations · 5 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CY2026★ 1 cited

The Challenges of Balancing AI Compliance and Technological Innovations in Critical Sectors: A Systematic Literature Review

Ayush Enkhtaivan, Chinazunwa Uwaoma

The rapid integration of artificial intelligence (AI) into critical infrastructure including healthcare, finance, energy, and defense, offers transformative benefits but also confl…

cs.CR2023★ 1 cited

On Security Strategies for Addressing Potential Vulnerabilities in 6G Technologies Deployable in Healthcare

Chinazunwa Uwaoma

Researchers are now focusing on 6G as a new network technology that will bring significant gains over the previous generations while many sectors are still implementing the 5G netw…

cs.CY2021★ 1 cited

Building a Decision Support System for Automated Mobile Asthma Monitoring in Remote Areas

Chinazunwa Uwaoma, Gunjan Mansingh

Advances in mobile computing have paved the way for the development of several health applications using smartphone as a platform for data acquisition, analysis and presentation. S…

eess.SP2021

Estimation of Physical Activity Level and Ambient Condition Thresholds for Respiratory Health using Smartphone Sensors

Chinazunwa Uwaoma

While physical activity has been described as a primary prevention against chronic diseases, strenuous physical exertion under adverse ambient conditions has also been reported as…

cs.AI2021

Certainty Modeling of a Decision Support System for Mobile Monitoring of Exercise induced Respiratory Conditions

Chinazunwa Uwaoma, Gunjan. Mansingh

Mobile health systems in recent times, have notably improved the healthcare sector by empowering patients to actively participate in their health, and by facilitating access to hea…

eess.SY2021★ 2 cited

A Machine Learning Approach for Delineating Similar Sound Symptoms of Respiratory Conditions on a Smartphone

Chinazunwa Uwaoma, Gunjan Mansingh

Clinical characterization and interpretation of respiratory sound symptoms have remained a challenge due to the similarities in the audio properties that manifest during auscultati…