Real-time data of COVID-19 detection with IoT sensor tracking using artificial neural network.

Mohammedqasem, Roa'a; Mohammedqasim, Hayder; Ata, Oguz

Mohammedqasem, Roa'a; Mohammedqasim, Hayder; Ata, Oguz.

Afiliação

Mohammedqasem R; Department Of ECE, Institute Of Science, Altinbas University, Istanbul, Turkey.
Mohammedqasim H; Department Of ECE, Institute Of Science, Altinbas University, Istanbul, Turkey.
Ata O; Department Of ECE, Institute Of Science, Altinbas University, Istanbul, Turkey.

Comput Electr Eng ; 100: 107971, 2022 May.

Article em En | MEDLINE | ID: mdl-35399912

Palavras-chave

ANN, Artificial Neural Network; AUC, Area Under Curve; CNN, Convolutional Neural Network; COVID-19; COVID-19, Coronavirus disease; DL, Deep learning; Imbalanced Dataset; Internet of Things; IoT, Internet of Things; ML, Machine learning; RFE, Recursive Feature Elimination; RNN, Recurrent Neural Network; Recursive feature elimination; SMOTE, Synthetic Minority Oversampling Technique; Synthetic minority oversampling technique

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: Comput Electr Eng Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Turquia

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