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Structural Equation Modeling Algorithm and Its Application in Business Analytics by Sorooshian, Shahryar

“…Structural Equation Modeling (SEM) is a statistical-based multivariate modeling methods, Application of SEM is similar but more powerful than regression analysis; and number of scientists using SEM in their research is rupidly inereasing. …”
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Comparison of Some Numerical Methods for Solving Real-Life Nonlinear Equations by Using Python Programming / Annie Gorgey ... [et al.] by Gorgey, Annie, Zulkifly, Zul Hafiezy, Hassim, Haslinah, Azim, Farah Adilla

“…This research evaluates the efficiency and accuracy of some iterative methods for solving scalar nonlinear equations. The study focuses on four types of iterative methods, such as Newton-Raphson, Bisection, Secant, and Algorithm 1, a novel fourth-order and derivative-free root-finding algorithm exhibiting different convergence orders. …”
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Parallel Implementation of Two Level Barotropic Models Applied to the Weather Prediction Problem by Bahri, Susila

“…Forecasting model for short range weather prediction that is used here is the two level Barotropic models. …”
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A study on solution of matrix riccati differential equations using ant colony programming and simulink / Mohd Zahurin Mohamed Kamali by Mohamed Kamali, Mohd Zahurin

“…In this thesis, we implement the modified ant colony programming (ACP) algorithm for solving the matrix Riccati differential equation (MRDE). …”
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Differential equation fault location algorithm with harmonic effects in power system by Izatti, Md Amin, Mohd Rafi, Adzman, Haziah, Abdul Hamid, Muhd Hafizi, Idris, Melaty, Amirruddin, Omar, Aliman

“…In this study, several filters were tested to obtain the lowest fault location error to reduce the effect of harmonic components on the developed fault location algorithm. The network model is simulated using the alternate transients program (ATP)Draw simulation program. …”
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An Algorithmic Approach for Stability of an Autonomous System by Cik Soh, Shaharuddin

“…Many phenomena in biology can be modeled as a system of first order differential equations x = ax + by, y=cx+dy. …”
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Implementation of Galerkin's method and modal analysis for unforced vibration response of a tractor suspension model by Shamshiri, Ramin, Wan Ismail, Wan Ishak

“…The program was used successfully to solve the actual coupled equations and to plot the results. …”
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An Analytical Algorithm for Delphi Method for Consensus Building and Organizational Productivity by Abd Hamid, Zahidy, Noor Azlinna, Azizan, Sorooshian, Shahryar

“…Structural Equation Modeling (SEM) is a statistical-based multivariate modeling methods, Application of SEM is similar but more powerful than regression analysis; and number of scientists using SEM in their research is rupidly inereasing. …”
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Physical and computational modeling for finite element analysis by Che Muda, Zakaria

“…In the past, the majority of papers relating to F.E analysis were related to the development of new special elements and the computational algorithms for equation or eigenvalue solutions. Although more efforts has been made recently in making program user orientated yet answer to the proper discretization of the model and its application is left to the responsibility of the user. …”
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Nonlinear auto-regressive model structure selection using binary particle swarm optimization algorithm / Ahmad Ihsan Mohd Yassin by Mohd Yassin, Ahmad Ihsan

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Long-term electrical energy consumption: Formulating and forecasting via optimized gene expression programming / Seyed Hamidreza Aghay Kaboli by Seyed Hamidreza , Aghay Kaboli

“…This merit is provided by balancing the exploitation of solution structure and exploration of its appropriate weighting factors through use of a robust and efficient optimization algorithm in learning process of GEP approach. To assess the applicability and accuracy of the proposed method for long-term electrical energy consumption, its estimates are compared with those obtained from artificial neural network (ANN), support vector regression (SVR), adaptive neuro-fuzzy inference system (ANFIS), rule-based data mining algorithm, GEP, linear, quadratic and exponential models optimized by particle swarm optimization (PSO), cuckoo search algorithm (CSA), artificial cooperative search (ACS) algorithm and backtracking search algorithm (BSA). …”
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Neural network methods to solve the Lane–Emden type equations arising in thermodynamic studies of the spherical gas cloud model by Ahmad, Iftikhar, Zahoor Raja, Muhammad Asif, Bilal, Muhammad, Ashraf, Farooq

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Explicit solution of parameter estimate using multiparametric programming for boost converter by Mid, E.C., Mukhtar, N.M., Syed Yunus, S.H., Abdul Hadi, Dayanasari, Ruslan, Eliyana

“…In this method, the generalised mathematical model of the boost converter is discretised into an algebraic equation. …”
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In-silico works on control of blood glucose level for Type 1 Diabetes (T1D) using improved Hovorka equations and enhanced Model Predictive Control (eMPC): article by Mohd Maarof, Amar, Md Som, Ayub, Abdul Bari, Sheriff

“…The research on development of artificial pancreas is mainly focusing on the algorithm that will be programmed into controller system. …”
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Mould Filling In Electronic Packaging by Heng, Chai Wei

“…The present study is using a program, which is written in Matlab language. Characteristic Based Split (CBS) method is utilized in this program to analyze and model the fluid flow in a single cavity mold of the encapsulation process. …”
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Development of nonlinear model for continuous stirred tank reactor (CSTR) by Mohamad Ikwan, Zakaria

“…Continuous stirred tank reactors (CSTR) finds wide application in the chemical industry from pilot plant to full-scale production operation.CSTRs generally present operational problems due to complex open-loop nonlinear behavior in the form of input/output multiplicities and ignition/extinction phenomena.A major limitation of linear model is that plant behavior is described by linear dynamic model.As a result,linear model is inadequate for highly nonlinear process and moderately nonlinear process which have large operating regimes.This shortcoming coupled with increasingly stringent demands on throughput and product quality has spurred the development of nonlinear model.The objective of this research are development mathematical model for CSTR process based on first principal,validation of mathematical model through experimentation and nonlinear model identification of a CSTR process.The mathematical model based on first principles is developed from sodium hydroxide,ethyl acetate,and sodium acetate and ethanol mass balance.Then,the model equation is solving in MATLAB environment by doing algorithm for this process.The program for CSTR system is created and this program known as nonlinear fundamental model.The result from the MATLAB simulation program is compared with experimental result to validate the fundamental model. …”
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3D solid robot animation design based on ADAMS by Baojian Yang, Yongning Deng, Xia Yue, Tze, Kenneth Kin Teo

“…Based on this, the biped robot kinematics equations and dynamic equations are deduced, and a three-step programming method is used to carry out reasonable gait planning for the biped robot. …”
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A matlab-based graphical user interface (GUI) to predict the food quality during frying process by Siti Nabihah, Othman

“…The Arrhenius equation is used in this model. Then, the sum squared error (SSE) of modified model was compared with the SSE of existing model. …”
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Synthesis and optimization of multilevel refrigeration systems using generalized disjunctive programming by Matovu, F., Mahadzir, S., Ahmed, R., Rozali, N.E.M.

“…The model is based on the application of mass, energy, and thermodynamic model equations and developed to optimize the total shaft work requirement of the system. …”
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Development of nonlinear model for plug flow reactor process by Ahmad Akmal, Wahamid

“…The mathematical model based on first principles is developed then, the model equation is solving in MATLAB environment by doing algorithm for this process. …”
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