A Performance Study of CNN Architectures for the Autonomous Detection of COVID-19 Symptoms Using Cough and Breathing
Summary
A Performance Study of CNN Architectures for the Autonomous Detection of COVID-19 Symptoms Using Cough and Breathing is a scholarly article[1].
Key Facts
A Performance Study of CNN Architectures for the Autonomous Detection of COVID-19 Symptoms Using Cough and Breathing's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A Performance Study of CNN Architectures for the Autonomous Detection of COVID-19 Symptoms Using Cough and Breathing. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-performance-study-of-cnn-architectures-for-the-autonomous-detection-of-covid-19-symptoms-using-cough-and-breathing
MLA“A Performance Study of CNN Architectures for the Autonomous Detection of COVID-19 Symptoms Using Cough and Breathing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-performance-study-of-cnn-architectures-for-the-autonomous-detection-of-covid-19-symptoms-using-cough-and-breathing.
BibTeX@misc{4ortxyz_a-performance-study-of-cnn-architectures-for-the-autonomous-detection-of-covid-19-symptoms-using-cough-and-breathing_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Performance Study of CNN Architectures for the Autonomous Detection of COVID-19 Symptoms Using Cough and Breathing}}, year = {2026}, url = {https://4ort.xyz/entity/a-performance-study-of-cnn-architectures-for-the-autonomous-detection-of-covid-19-symptoms-using-cough-and-breathing}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Performance Study of CNN Architectures for the Autonomous Detection of COVID-19 Symptoms Using Cough and Breathing — https://4ort.xyz/entity/a-performance-study-of-cnn-architectures-for-the-autonomous-detection-of-covid-19-symptoms-using-cough-and-breathing (retrieved 2026-05-24)
