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  • Open Access

    ARTICLE

    Forecasting Stock Volatility Using Wavelet-based Exponential Generalized Autoregressive Conditional Heteroscedasticity Methods

    Tariq T. Alshammari1, Mohd Tahir Ismail1, Nawaf N. Hamadneh3,*, S. Al Wadi2, Jamil J. Jaber2, Nawa Alshammari3, Mohammad H. Saleh2

    Intelligent Automation & Soft Computing, Vol.35, No.3, pp. 2589-2601, 2023, DOI:10.32604/iasc.2023.024001

    Abstract In this study, we proposed a new model to improve the accuracy of forecasting the stock market volatility pattern. The hypothesized model was validated empirically using a data set collected from the Saudi Arabia stock Exchange (Tadawul). The data is the daily closed price index data from August 2011 to December 2019 with 2027 observations. The proposed forecasting model combines the best maximum overlapping discrete wavelet transform (MODWT) function (Bl14) and exponential generalized autoregressive conditional heteroscedasticity (EGARCH) model. The results show the model's ability to analyze stock market data, highlight important events that contain the most volatile data, and improve… More >

  • Open Access

    ARTICLE

    Reducing the Range of Cancer Risk on BI-RADS 4 Subcategories via Mathematical Modelling

    Nezihal Gokbulut1,2, Evren Hincal1,2,*, Hasan Besim3, Bilgen Kaymakamzade1,2

    CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.1, pp. 93-109, 2022, DOI:10.32604/cmes.2022.019782

    Abstract Breast Imaging Reporting and Data System, also known as BI-RADS is a universal system used by radiologists and doctors. It constructs a comprehensive language for the diagnosis of breast cancer. BI-RADS 4 category has a wide range of cancer risk since it is divided into 3 categories. Mathematical models play an important role in the diagnosis and treatment of cancer. In this study, data of 42 BI-RADS 4 patients taken from the Center for Breast Health, Near East University Hospital is utilized. Regarding the analysis, a mathematical model is constructed by dividing the population into 4 compartments. Sensitivity analysis is… More >

  • Open Access

    ARTICLE

    A Mathematical Model and a Method for the Calculation of the Downhole Pressure in Composite-Perforation Technological Processes

    Xufeng Li1,2,3, Yantao Bi1,2,3,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.6, pp. 1699-1709, 2022, DOI:10.32604/fdmp.2022.019741

    Abstract Using the conservation equations for mass, momentum and energy, a model is elaborated to describe the dynamics of high-energy gases in composite-perforation technological processes. The model includes a precise representation of the gunpowder combustion and related killing fluid displacement. Through numerical solution of such equations, the pressure distribution of the high-energy gas in fractures is obtained, and used to determine crack propagation. The accuracy of the model is verified by comparing the simulation results with actual measurements. More > Graphic Abstract

    A Mathematical Model and a Method for the Calculation of the Downhole Pressure in Composite-Perforation Technological Processes

  • Open Access

    ARTICLE

    Design and Implementation of a State-feedback Controller Using LQR Technique

    Aamir Shahzad1,*, Shadi Munshi2, Sufyan Azam2, Muhammad Nasir Khan3

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 2897-2911, 2022, DOI:10.32604/cmc.2022.028441

    Abstract The main objective of this research is to design a state-feedback controller for the rotary inverted pendulum module utilizing the linear quadratic regulator (LQR) technique. The controller maintains the pendulum in the inverted (upright) position and is robust enough to reject external disturbance to maintain its stability. The research work involves three major contributions: mathematical modeling, simulation, and real-time implementation. To design a controller, mathematical modeling has been done by employing the Newton-Euler, Lagrange method. The resulting model was nonlinear so linearization was required, which has been done around a working point. For the estimation of the controller parameters, MATLAB… More >

  • Open Access

    ARTICLE

    Glycated Hemoglobin HbA1c: Permittivity Experimental Applications with Some Mathematical Concepts, Temperature and Frequency Variations

    Soliman Abdalla1,2,*, Sherif Kandil2, Waleed El-Shirbeeny1, Fatma Bahabri1,3

    Journal of Renewable Materials, Vol.10, No.9, pp. 2335-2354, 2022, DOI:10.32604/jrm.2022.021211

    Abstract Diabetes disorder turns smoothly to be a global epidemic disorder and the glycated hemoglobin (HbA1c) starts to be an efficient marker of it. The dielectric spectroscopy on different human normal- and diabetic-blood samples is used to characterize and to estimate the HbA1c concentration. “dc-” and ac-measurement of the complex conductivity in the temperature range from 280 K up to 320 K, and in the frequency range from one Hz up to 32 MHz have been performed. The thermal activation energy, ΔEσ, of dc-electric conductivity lies in the range 95 meV < ΔEσ < 115 meV; while the thermal activation energy,… More >

  • 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

    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 >

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