Role of intelligent computing in COVID-19 prognosis: A state-of-the-art review
Abstract The World Health Organization (WHO) declared novel coronavirus 2019 (COVID-
19), an infectious epidemic caused by SARS-CoV-2, as Pandemic in March 2020. It has …
19), an infectious epidemic caused by SARS-CoV-2, as Pandemic in March 2020. It has …
A review of the machine learning algorithms for COVID-19 case analysis
The purpose of this article is to see how machine learning (ML) algorithms and applications
are used in the COVID-19 inquiry and for other purposes. The available traditional methods …
are used in the COVID-19 inquiry and for other purposes. The available traditional methods …
Covidgan: data augmentation using auxiliary classifier gan for improved covid-19 detection
Coronavirus (COVID-19) is a viral disease caused by severe acute respiratory syndrome
coronavirus 2 (SARS-CoV-2). The spread of COVID-19 seems to have a detrimental effect …
coronavirus 2 (SARS-CoV-2). The spread of COVID-19 seems to have a detrimental effect …
Covid-19 outbreak prediction with machine learning
Several outbreak prediction models for COVID-19 are being used by officials around the
world to make informed decisions and enforce relevant control measures. Among the …
world to make informed decisions and enforce relevant control measures. Among the …
Data-driven dynamic clustering framework for mitigating the adverse economic impact of Covid-19 lockdown practices
The COVID-19 disease has once again reiterated the impact of pandemics beyond a
biomedical event with potential rapid, dramatic, sweeping disruptions to the management …
biomedical event with potential rapid, dramatic, sweeping disruptions to the management …
[HTML][HTML] A survey on blockchain for industrial internet of things
Blockchain and the Internet of Things (IoT) are separately regarded as highly capable
popular technologies. Blockchain is a database used for decentralized transaction …
popular technologies. Blockchain is a database used for decentralized transaction …
A fractional-order model for the novel coronavirus (COVID-19) outbreak
The outbreak of the novel coronavirus (COVID-19), which was firstly reported in China, has
affected many countries worldwide. To understand and predict the transmission dynamics of …
affected many countries worldwide. To understand and predict the transmission dynamics of …
Forecasting of COVID-19 time series for countries in the world based on a hybrid approach combining the fractal dimension and fuzzy logic
O Castillo, P Melin - Chaos, Solitons & Fractals, 2020 - Elsevier
We describe in this paper a hybrid intelligent approach for forecasting COVID-19 time series
combining fractal theory and fuzzy logic. The mathematical concept of the fractal dimension …
combining fractal theory and fuzzy logic. The mathematical concept of the fractal dimension …
An epidemiological neural network exploiting dynamic graph structured data applied to the COVID-19 outbreak
With the recent COVID-19 outbreak, we have assisted to the development of new epidemic
models or the application of existing methodologies to predict the virus spread and to …
models or the application of existing methodologies to predict the virus spread and to …
Analysis of spatial spread relationships of coronavirus (COVID-19) pandemic in the world using self organizing maps
We describe in this paper an analysis of the spatial evolution of coronavirus pandemic
around the world by using a particular type of unsupervised neural network, which is called …
around the world by using a particular type of unsupervised neural network, which is called …