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researcher

Charles N. John

2 papers hereh-index 2594 citations2 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • eess.AS2

identity via Semantic Scholar / OpenAlex

most citedAI4COVID-19: AI Enabled Preliminary Diagnosis for COVID-19 from Cough Samples via an App

483 citations · 548 across the 2 of their papers we have counts for

collaborators

2 papers

eess.AS2020★ 65 cited

Can Machine Learning Be Used to Recognize and Diagnose Coughs?

Charles Bales, Muhammad Nabeel, Charles N. John +5

Emerging wireless technologies, such as 5G and beyond, are bringing new use cases to the forefront, one of the most prominent being machine learning empowered health care. One of t…

eess.AS2020★ 483 cited

AI4COVID-19: AI Enabled Preliminary Diagnosis for COVID-19 from Cough Samples via an App

Ali Imran, Iryna Posokhova, Haneya N. Qureshi +6

Background: The inability to test at scale has become humanity's Achille's heel in the ongoing war against the COVID-19 pandemic. A scalable screening tool would be a game changer.…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.