A framework of genetic algorithm-based CNN on multi-access edge computing for automated detection of COVID-19

This paper designs and develops a computational intelligence-based framework using convolutional neural network (CNN) and genetic algorithm (GA) to detect COVID-19 cases. The framework utilizes a multi-access edge computing technology such that end-user can access available resources as well the CNN...

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Detalles Bibliográficos
Autores principales: Hassan, Md Rafiul, Ismail, Walaa N., Chowdhury, Ahmad, Hossain, Sharara, Huda, Shamsul, Hassan, Mohammad Mehedi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8776397/
https://www.ncbi.nlm.nih.gov/pubmed/35079199
http://dx.doi.org/10.1007/s11227-021-04222-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8776397/
https://www.ncbi.nlm.nih.gov/pubmed/35079199
http://dx.doi.org/10.1007/s11227-021-04222-4

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