An efficient hardware architecture based on an ensemble of deep learning models for COVID -19 prediction

Deep learning models demonstrate superior performance in image classification problems. COVID-19 image classification is developed using single deep learning models. In this paper, an efficient hardware architecture based on an ensemble deep learning model is built to identify the COVID-19 using che...

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Detalles Bibliográficos
Autores principales: R, Sakthivel, Thaseen, I. Sumaiya, M, Vanitha, M, Deepa, M, Angulakshmi, R, Mangayarkarasi, Mahendran, Anand, Alnumay, Waleed, Chatterjee, Puspita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8812126/
https://www.ncbi.nlm.nih.gov/pubmed/35136715
http://dx.doi.org/10.1016/j.scs.2022.103713

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8812126/
https://www.ncbi.nlm.nih.gov/pubmed/35136715
http://dx.doi.org/10.1016/j.scs.2022.103713

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