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  • Open Access

    ARTICLE

    A Mathematical Model for COVID-19 Image Enhancement based on Mittag-Leffler-Chebyshev Shift

    Ibtisam Aldawish1, Hamid A. Jalab2,*

    CMC-Computers, Materials & Continua, Vol.73, No.1, pp. 1307-1316, 2022, DOI:10.32604/cmc.2022.029445

    Abstract The lungs CT scan is used to visualize the spread of the disease across the lungs to obtain better knowledge of the state of the COVID-19 infection. Accurately diagnosing of COVID-19 disease is a complex challenge that medical system face during the pandemic time. To address this problem, this paper proposes a COVID-19 image enhancement based on Mittag-Leffler-Chebyshev polynomial as pre-processing step for COVID-19 detection and segmentation. The proposed approach comprises the Mittag-Leffler sum convoluted with Chebyshev polynomial. The idea for using the proposed image enhancement model is that it improves images with low gray-level changes by estimating the probability… More >

  • Open Access

    ARTICLE

    P-ACOHONEYBEE: A Novel Load Balancer for Cloud Computing Using Mathematical Approach

    Sunday Adeola Ajagbe1, Mayowa O. Oyediran2, Anand Nayyar3,*, Jinmisayo A. Awokola4, Jehad F. Al-Amri5

    CMC-Computers, Materials & Continua, Vol.73, No.1, pp. 1943-1959, 2022, DOI:10.32604/cmc.2022.028331

    Abstract Cloud computing is a collection of disparate resources or services, a web of massive infrastructures, which is aimed at achieving maximum utilization with higher availability at a minimized cost. One of the most attractive applications for cloud computing is the concept of distributed information processing. Security, privacy, energy saving, reliability and load balancing are the major challenges facing cloud computing and most information technology innovations. Load balancing is the process of redistributing workload among all nodes in a network; to improve resource utilization and job response time, while avoiding overloading some nodes when other nodes are underloaded or idle is… More >

  • Open Access

    ARTICLE

    Mathematical Modelling of Rotavirus Disease Through Efficient Methods

    Ali Raza*

    CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 4727-4740, 2022, DOI:10.32604/cmc.2022.027044

    Abstract The design of evolutionary approaches has a vital role in the recent development of scientific literature. To tackle highly nonlinear complex problems, nonlinear ordinary differential equations, partial differential equations, stochastic differential equations, and many more may called computational algorithms. The rotavirus causes may include severe diarrhea, vomiting, and fever leading to rapid dehydration. By the report of the World Health Organization (WHO), approximately 600,000 children die worldwide each year, 80 percent of whom live in developing countries. Two million children are hospitalized each year. In Asia, up to 45 percent of the children hospitalized for diarrhea may be infected with… More >

  • Open Access

    ARTICLE

    Pandemic Analysis and Prediction of COVID-19 Using Gaussian Doubling Times

    Saleh Albahli1,*, Farman Hassan2, Ali Javed2,3, Aun Irtaza2,4

    CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 833-849, 2022, DOI:10.32604/cmc.2022.024267

    Abstract COVID-19 has become a pandemic, with cases all over the world, with widespread disruption in some countries, such as Italy, US, India, South Korea, and Japan. Early and reliable detection of COVID-19 is mandatory to control the spread of infection. Moreover, prediction of COVID-19 spread in near future is also crucial to better plan for the disease control. For this purpose, we proposed a robust framework for the analysis, prediction, and detection of COVID-19. We make reliable estimates on key pandemic parameters and make predictions on the point of inflection and possible washout time for various countries around the world.… More >

  • Open Access

    ARTICLE

    A Mathematical Model of Heat Transfer in Problems of Pipeline Plugging Agent Freezing Induced by Liquid Nitrogen

    Yafei Li, Yanjun Liu*

    FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.3, pp. 775-788, 2022, DOI:10.32604/fdmp.2022.019810

    Abstract A mathematical model for one-dimensional heat transfer in pipelines undergoing freezing induced by liquid nitrogen is elaborated. The basic premise of this technology is that the content within a pipeline is frozen to form a plug or two plugs at a position upstream and downstream from a location where work a modification or a repair must be executed. Based on the variable separation method, the present model aims to solve the related coupled heat conduction and moving-boundary phase change problem. An experiment with a 219 mm long pipe, where water was taken as the plugging agent, is presented to demonstrate… More >

  • Open Access

    ARTICLE

    On the Selection of a Composite Material for Two-Wheeler Foot Bracket Failure Prevention through Simulation and Mathematical Modeling

    S. M. Sivagami1, A. Bovas Herbert Bejaxhin2,*, R. Gayathri1, T. Raja Vijay1, K. Punitharani3, P. Keerthi Vasan1, M. Meignanamoorthy4

    FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.3, pp. 521-536, 2022, DOI:10.32604/fdmp.2022.018752

    Abstract A foot bracket is a metal panel bracket used to mount and support the footrest in two-wheeler systems. It holds the footrest in place while rigidly supporting it. In working conditions, this element has often been observed to fail when specific load-fluctuation conditions are established at its rear end. Appropriate materials therefore need to be identified to overcome such a recurring failure. To address these issues, the present study has been implemented with the specific objective to determine the response of selected Al6061-T6 and Al7075-T6 Hybrid Metal Matrix Composites (HMMC). The results, obtained using the ANSYS Software, show that the… More >

  • Open Access

    ARTICLE

    An Approximate Numerical Methods for Mathematical and Physical Studies for Covid-19 Models

    Hammad Alotaibi, Khaled A. Gepreel, Mohamed S. Mohamed, Amr M. S. Mahdy*

    Computer Systems Science and Engineering, Vol.42, No.3, pp. 1147-1163, 2022, DOI:10.32604/csse.2022.020869

    Abstract The advancement in numerical models of serious resistant illnesses is a key research territory in different fields including the nature and the study of disease transmission. One of the aims of these models is to comprehend the elements of conduction of these infections. For the new strain of Covid-19 (Coronavirus), there has been no immunization to protect individuals from the virus and to forestall its spread so far. All things being equal, control procedures related to medical services, for example, social distancing or separation, isolation, and travel limitations can be adjusted to control this pandemic. This article reveals some insights… More >

  • Open Access

    ARTICLE

    Mathematical Modelling of Quantum Kernel Method for Biomedical Data Analysis

    Mahmoud Ragab1,2,3, Ehab Bahauden Ashary4, Maha Farouk S. Sabir5, Adel A. Bahaddad5, Romany F. Mansour6,*

    CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5441-5457, 2022, DOI:10.32604/cmc.2022.024545

    Abstract This study presents a novel method to detect the medical application based on Quantum Computing (QC) and a few Machine Learning (ML) systems. QC has a primary advantage i.e., it uses the impact of quantum parallelism to provide the consequences of prime factorization issue in a matter of seconds. So, this model is suggested for medical application only by recent researchers. A novel strategy i.e., Quantum Kernel Method (QKM) is proposed in this paper for data prediction. In this QKM process, Linear Tunicate Swarm Algorithm (LTSA), the optimization technique is used to calculate the loss function initially and is aimed… More >

  • Open Access

    ARTICLE

    A Mathematical Model and Simulations of Low Temperature Nitriding

    Bogusław Bożek1, Lucjan Sapa1,*, Katarzyna Tkacz-Śmiech2, Marek Danielewski2, Janusz Rybak2

    CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.2, pp. 777-803, 2022, DOI:10.32604/cmes.2022.017729

    Abstract Low-temperature nitriding of steel or iron can produce an expanded austenite phase, which is a solid solution of a large amount of nitrogen dissolved interstitially in fcc lattice. It is characteristic that the nitogen depth profiles in expanded austenite exhibit plateau-type shapes. Such behavior cannot be considered with a standard analytic solution for diffusion in a semi-infinite solid and a new approach is necessary. We formulate a model of interdiffusion in viscoelastic solid (Maxwell model) during the nitriding process. It combines the mass conservation and Vegard’s rule with the Darken bi-velocity method. The model is formulated in any dimension, i.e.,… More >

  • Open Access

    ARTICLE

    Radio Optical Network Simulation Tool (RONST)

    Yasmine I. Abdelhak1,2, Fady Kamel3, Moustafa Hafez2, Hussein E. Kotb4,5, Haitham A. Omran5, Tawfik Ismail6,7,*, Hassan Mostafa2,3

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3685-3702, 2022, DOI:10.32604/cmc.2022.022470

    Abstract This paper presents a radio optical network simulation tool (RONST) for modeling optical-wireless systems. For a typical optical and electrical chain environment, performance should be optimized concurrently before system implementation. As a result, simulating such systems turns out to be a multidisciplinary problem. The governing equations are incompatible with co-simulation in the traditional environments of existing software (SW) packages. The ultra-wideband (UWB) technology is an ideal candidate for providing high-speed short-range access for wireless services. The limited wireless reach of this technology is a significant limitation. A feasible solution to the problem of extending UWB signals is to transmit these… More >

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