Augmented Intelligence Based COVID-19 Diagnostics and Deep Feature Categorization Based on Federated Learning

The global pandemic of COVID-19 has had profound and devastating effects on human life since its emergence in 2019. This viral infection predominantly impacts the respiratory system, causing a range of severity in alveolar overlapping that results in breathlessness and fatality. A novel methodology...

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Veröffentlicht in:	IEEE transactions on emerging topics in computational intelligence 2024-10, Vol.8 (5), p.3308-3315
Hauptverfasser:	Ahmed, Syed Thouheed, Venkatesan, Vinoth Kumar, T R, Mahesh, S, Roopashree, Venkatesan, Muthukumaran
Format:	Artikel
Sprache:	eng
Schlagworte:	augmented intelligence categorization COVID-19 COVID-19 detection COVID-19 labeling Decision making Ecosystems Feature extraction Federated learning Medical diagnostic imaging Training
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