The applications of MCDM methods in COVID-19 pandemic: A state of the art review
A Sotoudeh-Anvari - Applied Soft Computing, 2022 - Elsevier
Likened to the economic calamity of World War Two, the COVID-19 pandemic has sparked
fears of a deep economic crisis, killed more than six million people worldwide and had a …
fears of a deep economic crisis, killed more than six million people worldwide and had a …
Review on COVID‐19 diagnosis models based on machine learning and deep learning approaches
COVID‐19 is the disease evoked by a new breed of coronavirus called the severe acute
respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Recently, COVID‐19 has become a …
respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Recently, COVID‐19 has become a …
IoMT amid COVID-19 pandemic: Application, architecture, technology, and security
In many countries, the Internet of Medical Things (IoMT) has been deployed in tandem with
other strategies to curb the spread of COVID-19, improve the safety of front-line personnel …
other strategies to curb the spread of COVID-19, improve the safety of front-line personnel …
Realizing an effective COVID-19 diagnosis system based on machine learning and IOT in smart hospital environment
KH Abdulkareem, MA Mohammed… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The aim of this study is to propose a model based on machine learning (ML) and Internet of
Things (IoT) to diagnose patients with COVID-19 in smart hospitals. In this sense, it was …
Things (IoT) to diagnose patients with COVID-19 in smart hospitals. In this sense, it was …
Applications of artificial intelligence in battling against covid-19: A literature review
M Tayarani - Chaos, Solitons and Fractals, 2020 - researchprofiles.herts.ac.uk
Colloquially known as coronavirus, the Severe Acute Respiratory Syndrome CoronaVirus 2
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …
[HTML][HTML] COVID-CheXNet: hybrid deep learning framework for identifying COVID-19 virus in chest X-rays images
AS Al-Waisy, S Al-Fahdawi, MA Mohammed… - Soft computing, 2023 - Springer
The outbreaks of Coronavirus (COVID-19) epidemic have increased the pressure on
healthcare and medical systems worldwide. The timely diagnosis of infected patients is a …
healthcare and medical systems worldwide. The timely diagnosis of infected patients is a …
Evaluation of government strategies against COVID-19 pandemic using q-rung orthopair fuzzy TOPSIS method
N Alkan, C Kahraman - Applied Soft Computing, 2021 - Elsevier
The COVID-19 outbreak, which emerged in China and continues to spread rapidly all over
the world, has brought with it increasing numbers of cases and deaths. Governments have …
the world, has brought with it increasing numbers of cases and deaths. Governments have …
Machine learning for detecting COVID-19 from cough sounds: An ensemble-based MCDM method
This research aims to analyze the performance of state-of-the-art machine learning
techniques for classifying COVID-19 from cough sounds and to identify the model (s) that …
techniques for classifying COVID-19 from cough sounds and to identify the model (s) that …
[HTML][HTML] Combining a convolutional neural network with autoencoders to predict the survival chance of COVID-19 patients
COVID-19 has caused many deaths worldwide. The automation of the diagnosis of this virus
is highly desired. Convolutional neural networks (CNNs) have shown outstanding …
is highly desired. Convolutional neural networks (CNNs) have shown outstanding …
Rise of multiattribute decision‐making in combating COVID‐19: A systematic review of the state‐of‐the‐art literature
Considering the coronavirus disease 2019 (COVID‐19) pandemic, the government and
health sectors are incapable of making fast and reliable decisions, particularly given the …
health sectors are incapable of making fast and reliable decisions, particularly given the …