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Classification and Comparison of Covid-19 Patients
5th International Conference on Design Innovations for 3Cs Compute Communicate Control, ICDI3C 2021 ; : 65-70, 2021.
Artigo em Inglês | Scopus | ID: covidwho-1470289
ABSTRACT
Coronavirus is a common virus that shows symptoms of infections in nose, chest pain, sinuses, or throat. Most Sars - coronaviruses are harmless. After the 2019 outbreak in the penultimate month in China, the World Health Organization (WHO) identified SARS-CoV-2 as the latest coronavirus spreading all over the world. The disease is spreading rapidly around the world and affecting millions of people physically and mentally as well. In this paper a comparison of 8 pre-trained Machine Learning models predominately different versions of ResNet is done and compared. The used models for comparisons are InceptionV3, EfficientNet, VGG16, ResNet50, ResNet50v2, ResNetlOl, ResNetl01v2, ResNetl52. Finally, it will be deduced which model is best suited for the given dataset of Covid-19. © 2021 IEEE.

Texto completo: Disponível Coleções: Bases de dados de organismos internacionais Base de dados: Scopus Idioma: Inglês Revista: 5th International Conference on Design Innovations for 3Cs Compute Communicate Control, ICDI3C 2021 Ano de publicação: 2021 Tipo de documento: Artigo

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Texto completo: Disponível Coleções: Bases de dados de organismos internacionais Base de dados: Scopus Idioma: Inglês Revista: 5th International Conference on Design Innovations for 3Cs Compute Communicate Control, ICDI3C 2021 Ano de publicação: 2021 Tipo de documento: Artigo