Cognitive computing-based COVID-19 detection on Internet of things-enabled edge computing environment-Reference-Cited by-同舟云学术

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Cognitive computing-based COVID-19 detection on Internet of things-enabled edge computing environment

Published:2021-11-18 Issue: Volume: Page:
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Laxmi Lydia E.,Anupama C. S. S.,Beno A.,Elhoseny Mohamed,Alshehri Mohammad Dahman,Selim Mahmoud M.

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00500-021-06514-6.pdf

Reference22 articles.

1. Abdul Salam M, Taha S, Ramadan M (2021) COVID-19 detection using federated machine learning. PLoS ONE 16(6):e0252573

2. Chiang M, Zhang T (2016) Fog and IoT: an overview of research opportunities. IEEE Internet Things J 3(6):854–864

3. Dash S, Chakravarty S, Mohanty SN, Pattanaik CR, Jain S (2021) A deep learning method to forecast COVID-19 outbreak. New Gener Comput 1–25

4. Dou Q, So TY, Jiang M, Liu Q, Vardhanabhuti V, Kaissis G, Li Z, Si W, Lee HH, Yu K, Feng Z (2021) Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. NPJ Digital Med 4(1):1–11

5. Feki I, Ammar S, Kessentini Y, Muhammad K (2021) Federated learning for COVID-19 screening from chest X-ray images. Appl Soft Comput 106:107330

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