Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods-Reference-Cited by-同舟云学术

Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods

Published:2021-08 Issue: Volume:27 Page:104495
ISSN:2211-3797
Container-title:Results in Physics
language:en
Short-container-title:Results in Physics

Author:

Ayoobi Nooshin,Sharifrazi Danial,Alizadehsani Roohallah,Shoeibi Afshin,Gorriz Juan M.,Moosaei Hossein,Khosravi Abbas,Nahavandi Saeid,Gholamzadeh Chofreh Abdoulmohammad,Goni Feybi Ariani,Klemeš Jiří Jaromír,Mosavi Amir^ORCID

Publisher

Elsevier BV

Subject

General Physics and Astronomy

Reference46 articles.

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3. Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images;Sharifrazi;Biomed Signal Process Control,2021

4. A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster;Chan;The Lancet.,2020

5. Medical Images Encryption Based on Adaptive-Robust Multi-Mode Synchronization of Chen Hyper-Chaotic Systems;Javan;Sensors.,2021

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