Investigating the effect of vaccinated population on the COVID-19 prediction using FA and ABC-based feed-forward neural networks-Reference-Cited by-同舟云学术

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Investigating the effect of vaccinated population on the COVID-19 prediction using FA and ABC-based feed-forward neural networks

Published:2023-02 Issue:2 Volume:9 Page:e13672
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Noroozi-Ghaleini Ebrahim,Shaibani Mohammad Javad

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference80 articles.

1. WHO-Convened Global Study of Origins of SARS-CoV-2: China Part;(WHO),2021

2. Features, Evaluation, and Treatment of Coronavirus (COVID-19);Cascella,2022

3. COVID-19 weekly epidemiological update;(WHO),2021

4. Genetics of COVID-19;Raskin;J. Pediatr.,2021

5. COVID-19 CG enables SARS-CoV-2 mutation and lineage tracking by locations and dates of interest;Chen;Elife,2021

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Electrical Impedance Tomography of Industrial Two-Phase Flow Based on Radial Basis Function Neural Network Optimized by the Artificial Bee Colony Algorithm;Sensors;2023-09-04

2. The impact of COVID-19 vaccination on human mobility: The London case;Heliyon;2023-08

3. EngineFaultDB: A Novel Dataset for Automotive Engine Fault Classification and Baseline Results;IEEE Access;2023

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