An oppositional-Cauchy based GSK evolutionary algorithm with a novel deep ensemble reinforcement learning strategy for COVID-19 diagnosis.

Jalali, Seyed Mohammad Jafar; Ahmadian, Milad; Ahmadian, Sajad; Khosravi, Abbas; Alazab, Mamoun; Nahavandi, Saeid

Jalali, Seyed Mohammad Jafar; Ahmadian, Milad; Ahmadian, Sajad; Khosravi, Abbas; Alazab, Mamoun; Nahavandi, Saeid.

Afiliação

Jalali SMJ; Institute for Intelligent Systems Research and Innovation, (IISRI), Deakin University, Geelong, Australia.
Ahmadian M; Deparment of Computer Engineering, Razi University, Kermanshah, Iran.
Ahmadian S; Faculty of Information Technology, Kermanshah University of Technology, Kermanshah, Iran.
Khosravi A; Institute for Intelligent Systems Research and Innovation, (IISRI), Deakin University, Geelong, Australia.
Alazab M; College of Engineering, IT and Environment, Charles Darwin University, Australia.
Nahavandi S; Institute for Intelligent Systems Research and Innovation, (IISRI), Deakin University, Geelong, Australia.

Appl Soft Comput ; 111: 107675, 2021 Nov.

Article em En | MEDLINE | ID: mdl-34305489

Palavras-chave

COVID-19; Deep convolutional neural network; Deep reinforcement learning; Evolutionary computation; Image classification; Optimization

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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