[HTML][HTML] A new extended Rayleigh distribution with applications of COVID-19 data

HM Almongy, EM Almetwally, HM Aljohani… - Results in Physics, 2021 - Elsevier
This paper aims to model the COVID-19 mortality rates in Italy, Mexico, and the Netherlands,
by specifying an optimal statistical model to analyze the mortality rate of COVID-19. A new …

Mathematical analysis of COVID-19 via new mathematical model

S Ahmad, S Owyed, AH Abdel-Aty, EE Mahmoud… - Chaos, Solitons & …, 2021 - Elsevier
We develop a new mathematical model by including the resistive class together with
quarantine class and use it to investigate the transmission dynamics of the novel corona …

[HTML][HTML] Fractal-fractional mathematical modeling and forecasting of new cases and deaths of COVID-19 epidemic outbreaks in India

MA Abdulwasaa, MS Abdo, K Shah, TA Nofal… - Results in Physics, 2021 - Elsevier
Fractional-order derivative-based modeling is very significant to describe real-world
problems with forecasting and analyze the realistic situation of the proposed model. The aim …

[PDF][PDF] Epidemiological analysis of fractional order COVID-19 model with Mittag-Leffler kernel

M Farman, A Akgül, KS Nisar, D Ahmad, A Ahmad… - AIMS Math, 2022 - researchgate.net
Epidemiological analysis of fractional order COVID-19 model with Mittag-Leffler kernel
Page 1 AIMS Mathematics, 7 (1): 756–783. DOI: 10.3934/math.2022046 Received: 08 …

[HTML][HTML] Sensitivity analysis of COVID-19 with quarantine and vaccination: A fractal-fractional model

A Malik, M Alkholief, FM Aldakheel, AA Khan… - Alexandria Engineering …, 2022 - Elsevier
To eradicate most infectious diseases, mathematical modelling of contagious diseases has
revealed that a combination of quarantine, vaccination, and cure is frequently required …

Study on the mathematical modelling of COVID-19 with Caputo-Fabrizio operator

M ur Rahman, S Ahmad, RT Matoog, NA Alshehri… - Chaos, Solitons & …, 2021 - Elsevier
In this article we study a fractional-order mathematical model describing the spread of the
new coronavirus (COVID-19) under the Caputo-Fabrizio sense. Exploiting the approach of …

[HTML][HTML] Sensitivity analysis and optimal control of COVID-19 dynamics based on SEIQR model

T Hussain, M Ozair, F Ali, S ur Rehman, TA Assiri… - Results in Physics, 2021 - Elsevier
It is of great curiosity to observe the effects of prevention methods and the magnitudes of the
outbreak including epidemic prediction, at the onset of an epidemic. To deal with COVID-19 …

A novel mathematical approach of COVID-19 with non-singular fractional derivative

S Kumar, J Cao, M Abdel-Aty - Chaos, Solitons & Fractals, 2020 - Elsevier
We analyze a proposition which considers new mathematical model of COVID-19 based on
fractional ordinary differential equation. A non-singular fractional derivative with Mittag …

Analysis of convolutional recurrent neural network classifier for COVID-19 symptoms over computerised tomography images

S Kannan, N Yuvaraj, BA Idrees… - International …, 2021 - inderscienceonline.com
In this paper, a Convolutional Recurrent Neural Network (CRNN) model is designed to
classify the patients with COVID-19 infections. The CRNN model is designed to identify the …

Integrated neuro-evolution-based computing paradigm to study the COVID-19 transposition and severity in Romania and Pakistan

M Shoaib, M Abukhaled, S Kainat, KS Nisar… - International Journal of …, 2022 - Springer
Numerical treatment of the COVID-19 transposition and severity in Romania and Pakistan
has been presented in this study, ie, ANN-GA-SQP through artificial neural network genetic …