Forecasting COVID-19 cases: A comparative analysis between recurrent and convolutional neural networks.

Nabi, Khondoker Nazmoon; Tahmid, Md Toki; Rafi, Abdur; Kader, Muhammad Ehsanul; Haider, Md Asif

Nabi, Khondoker Nazmoon; Tahmid, Md Toki; Rafi, Abdur; Kader, Muhammad Ehsanul; Haider, Md Asif.

Afiliação

Nabi KN; Department of Mathematics, Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh.
Tahmid MT; Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh.
Rafi A; Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh.
Kader ME; Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh.
Haider MA; Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh.

Results Phys ; 24: 104137, 2021 May.

Article em En | MEDLINE | ID: mdl-33898209

Palavras-chave

Convolutional neural network (CNN); Deep learning; Long short term memory (LSTM); Time series analysis

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

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