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Now showing items 1-10 of 11

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Optimal control analysis of hepatitis B virus with treatment and vaccination 

Alrabaiah, Hussam; Safi, Mohammad A.; DarAssi, Mahmoud H.; Al-Hdaibat, Bashir; Ullah, Saif; Khan, Muhammad Altaf; Shah, Syed Azhar Ali (Elsevier B.V., 2020)
Hepatitis B infection is one of the global health problems and potentially life-threatening liver infection. This infection is preventable and can be controlled using vaccination and proper treatment. The mathematical ...
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On a new conceptual mathematical model dealing the current novel coronavirus-19 infectious disease 

Din, Anwarud; Shah, Kamal; Alrabaiah, Hussam; Baleanu, Dumitru (Elsevier B.V., 2020)
The present paper describes a three compartment mathematical model to study the transmission of the current infection due to the novel coronavirus (2019-nCoV or COVID-19). We investigate the aforesaid dynamical model by ...
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Fractional dynamical analysis of measles spread model under vaccination corresponding to nonsingular fractional order derivative 

Nazir, Ghazala; Shah, Kamal; Alrabaiah, Hussam; Khalil, Hammad; Khan, Rahmat Ali (Springer, 2020)
In this paper, our main purpose is to present an analytical solution for measles spread model with three doses of vaccination using Caputo–Fabrizio fractional derivative (CFFD). The presented solution is based on Laplace ...
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A fractional order mathematical model for COVID-19 dynamics with quarantine, isolation, and environmental viral load 

Aba Oud, Mohammed A.; Ali, Aatif; Alrabaiah, Hussam; Ullah, Saif; Khan, Muhammad Altaf; Islam, Saeed (Springer, 2021)
COVID-19 or coronavirus is a newly emerged infectious disease that started in Wuhan, China, in December 2019 and spread worldwide very quickly. Although the recovery rate is greater than the death rate, the COVID-19 ...
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A stochastic numerical analysis based on hybrid NAR-RBFs networks nonlinear SITR model for novel COVID-19 dynamics 

Shoaib, Muhammad; Raja, Muhammad Asif Zahoor; Sabir, Muhammad Touseef; Bukhari, Ayaz Hussain; Alrabaiah, Hussam; Shah, Zahir; Kumam, Poom (Elsevier Ireland Ltd., 2021)
Background: Mathematical modeling of vector-borne diseases and forecasting of epidemics outbreak are global challenges and big point of concern worldwide. The outbreaks depend on different social and demographic factors ...
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A new fractional model for vector-host disease with saturated treatment function via singular and non-singular operators 

Khan, Muhammad Farooq; Alrabaiah, Hussam; Ullah, Saif; Khan, Muhammad Altaf; Farooq, Muhammad; bin Mamat, Mustafa; Asjad, Muhammad Imran (Elsevier B.V., 2021)
In this paper, we consider a vector-host epidemic model with saturated incidence and treatment functions. This type of function is biologically more suitable in situations where the number of infected individuals is getting ...
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A comparative study of spreading of novel corona virus disease by using fractional order modified SEIR model 

Alrabaiah, Hussam; Arfan, Muhammad; Shah, Kamal; Mahariq, Ibrahim; Ullah, Aman (Elsevier B.V., 2021)
In this research work, a non-linear dynamical modified SEIR model of the recent pandemic, due to Coronavirus-19 disease (COVID-19) for different countries like Malaysia and Pakistan, is considered under nonsingular fractional ...
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Investigation of fractal-fractional order model of COVID-19 in Pakistan under Atangana-Baleanu Caputo (ABC) derivative 

Arfan, Muhammad; Alrabaiah, Hussam; Ur Rahman, Mati; Sun, Yu-Liang; Hashim, Ahmad Sobri; Pansena, Bruno A.; Ahmadian, Ali; Salashour, Soheil (Elsevier B.V., 2021)
This manuscript addressing the dynamics of fractal-fractional type modified SEIR model under Atangana-Baleanu Caputo (ABC) derivative of fractional order y and fractal dimension p for the available data in Pakistan. The ...
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COVID-19 Infected Lung Computed Tomography Segmentation and Supervised Classification Approach 

Ali, Aqib; Mashwani, Wali Khan; Naeem, Samreen; Uddin, Muhammad Irfan; Kumam, Wiyada; Kumam, Poom; Alrabaiah, Hussam; Jamal, Farrukh; Chesneau, Christophe (Tech Science Press, 2021)
The purpose of this research is the segmentation of lungs computed tomography (CT) scan for the diagnosis of COVID-19 by using machine learning methods. Our dataset contains data from patients who are prone to the epidemic. ...
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On modeling of coronavirus-19 disease under Mittag-Leffler power law 

Bushnaq, Samia; Shah, Kamal; Alrabaiah, Hussam (Springer, 2020)
This paper investigates a new model on coronavirus-19 disease (COVID-19) with three compartments including susceptible, infected, and recovered class under Mittag-Leffler type derivative. The mentioned derivative has been ...
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Alrabaiah, Hussam (11)
Shah, Kamal (4)Khan, Muhammad Altaf (3)Ullah, Saif (3)Arfan, Muhammad (2)Baleanu, Dumitru (2)Kumam, Poom (2)Aba Oud, Mohammed A. (1)Ahmadian, Ali (1)Al-Hdaibat, Bashir (1)Show More... Subject(ABC) derivative, Coronavirus disease model, Fractional Adams–Bashforth (AB) method, Numerical simulations, Stability results (1)Adams–Bashforth (AB) method, Numerical simulations, Qualitative results, Three compartments model (1)Aqueous environment, Atomic stability, Coronavirus, Molecular dynamic simulation, Standard condition (1)Caputo fractional model, COVID-19, Stability analysis, Real data, Quarantine and isolation, Environmental impact, Parameter estimations, Simulation (1)Caputo–Fabrizio fractional derivative, Fractional differential equation, Laplace Adomian decomposition method (LADM), Measles spread model (1)Corona virus COVID-19, Fixed point approach, Fractional Adams-Bashforth method, Numerical solution (1)COVID-19 dynamic, Epidemic model, Neural networks, Radial Base functions, SITR Model (1)COVID-19, Existence result, Fractal-fractional ABC operator, Numerical results (1)COVID-19, machine learning, fuzzy c-mean, deep learning J4 (1)Fractional order derivatives, Numerical scheme, Saturated treatment function, Stability, Vector-host disease model (1)Show More... Date Issue2021 (7)2020 (4)Has File(s)true (11)

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