Prediction of COVID-19 - Pneumonia based on Selected Deep Features and One Class Kernel Extreme Learning Machine.

Khan, Muhammad Attique; Kadry, Seifedine; Zhang, Yu-Dong; Akram, Tallha; Sharif, Muhammad; Rehman, Amjad; Saba, Tanzila

Khan, Muhammad Attique; Kadry, Seifedine; Zhang, Yu-Dong; Akram, Tallha; Sharif, Muhammad; Rehman, Amjad; Saba, Tanzila.

Afiliación

Khan MA; Department of Computer Science, HITEC University Taxila, Pakistan.
Kadry S; Department of Mathematics and Computer Science, Faculty of Science, Beirut Arab University, Lebanon.
Zhang YD; Department of Informatics, University of Leicester, Leicester, UK.
Akram T; Department of Electrical & Computer Engr. COMSATS University Islamabad, Wah Campus, Pakistan.
Sharif M; Department of Computer Science, COMSATS University Islamabad, Wah Campus, Pakistan.
Rehman A; College of Computer and Information Sciences, Prince Sultan University, SA.
Saba T; College of Computer and Information Sciences, Prince Sultan University, SA.

Comput Electr Eng ; 90: 106960, 2021 Mar.

Article en En | MEDLINE | ID: mdl-33518824

Palabras clave

COVID19; Data Collection; Deep Learning; ELM Classifier; Features Fusion; Features Selection

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Comput Electr Eng Año: 2021 Tipo del documento: Article País de afiliación: Pakistán

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google