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  1. 1
    SURE-Autometrics algorithm for model selection in multiple equations

    SURE-Autometrics algorithm for model selection in multiple equations by Norhayati, Yusof

    Published 2016
    “…However, most model selection algorithms such as Autometrics only concentrate on single equation modelling which has limited application. …”
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  2. 2
    Field data-based mathematical modeling by Bode equations and vector fitting algorithm for renewable energy applications

    Field data-based mathematical modeling by Bode equations and vector fitting algorithm for renewable energy applications by Sabry, Ahmad H., Wan Hasan, Wan Zuha, Ab Kadir, M. Zainal A., Mohd Radzi, Mohd Amran, Shafie, Suhaidi

    Published 2018
    “…This development increases the application range of the VF algorithm for modeling not only in the frequency domain but also for all power curves. …”
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  3. 3
    Nonlinear auto-regressive model structure selection using binary particle swarm optimization algorithm / Ahmad Ihsan Mohd Yassin

    Nonlinear auto-regressive model structure selection using binary particle swarm optimization algorithm / Ahmad Ihsan Mohd Yassin by Mohd Yassin, Ahmad Ihsan

    Published 2014
    “…The algorithm searches the solution space by selecting various model structures and evaluating its fitness. …”
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  4. 4
    Optimization of Maximum Power Point Tracking (MPPT) of Photovoltaic System using Artificial Intelligence (AI) Algorithms

    Optimization of Maximum Power Point Tracking (MPPT) of Photovoltaic System using Artificial Intelligence (AI) Algorithms by Raal Mandour, Raal

    Published 2013
    “…In this paper, starting from the set of equations modeling a PV module, an innovative procedure to optimize the performance and efficiency of the MPPT algorithms is presented, simulated and verified. …”
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  5. 5
    Long-term electrical energy consumption: Formulating and forecasting via optimized gene expression programming / Seyed Hamidreza Aghay Kaboli

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

    Published 2018
    “…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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  6. 6
    Quasi linear algorithm for modelling shoreline change from AIRSAR/POLSAR polarized data

    Quasi linear algorithm for modelling shoreline change from AIRSAR/POLSAR polarized data by Marghany, Maged, Hashim, Mazlan, Cracknell, Arthur P.

    Published 2007
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  7. 7
    Deterministic Mutation Algorithm As A Winner Over Forward Selection Procedure

    Deterministic Mutation Algorithm As A Winner Over Forward Selection Procedure by Md Fahmi, Abd Samad

    Published 2016
    “…Simulated and real data were used. To allow for fair comparison, DMA was altered so as to equalize its strength, where applicable, to that of FSP. …”
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  8. 8
    Optimization of chemotherapy using metaheuristic optimization algorithms / Prakas Gopal Samy

    Optimization of chemotherapy using metaheuristic optimization algorithms / Prakas Gopal Samy by Prakas Gopal , Samy

    Published 2024
    “…Anchored in mathematical modelling using ordinary differential equations (ODE), the study culminates in a Multi-Objective Optimal Control Problem (MOCP), categorizing into Pure MOCP (P-MOCP) and Hybrid MOCP (H-MOCP). …”
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  9. 9
    Volterra algorithm for modelling sea surface current circulation from satellite altimetry data

    Volterra algorithm for modelling sea surface current circulation from satellite altimetry data by Marghany, Maged, Hashim, Mazlan, Cracknell, Arthur P.

    Published 2008
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  10. 10
    High Viscous Fluid Transport Model

    High Viscous Fluid Transport Model by Tan, Ming Chai

    Published 2004
    “…PIPEPHASE, a pipeline simulation tool, was used to model the flow of high viscous fluid. The results obtained was analyzed and compared with the high viscous fluid flow model developed from the mathematical equations. …”
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  11. 11
    DEVELOPMENT AND VALIDATION OF COMPUTATIONAL MODELS FOR SAND EROSION AND CORROSION PREDICTION IN PIPES AND FITTINGS

    DEVELOPMENT AND VALIDATION OF COMPUTATIONAL MODELS FOR SAND EROSION AND CORROSION PREDICTION IN PIPES AND FITTINGS by MOHYALDINN LLHAJ, MYSARA EISSA

    Published 2011
    “…Direct Impingement Model (DIM) from University of Tulsa, a semi-empirical sand erosion model, was selected for application in all kinds of fluids due to its account of particle velocity instead of fluid velocity. …”
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  12. 12
    Designing new chaotic and hyperchaotic systems for chaos-based cryptography

    Designing new chaotic and hyperchaotic systems for chaos-based cryptography by Kadhim, Al Karawi Hayder Natiq

    Published 2019
    “…To investigate its performance in terms of security, a new chaos-based image encryption algorithm is also proposed. …”
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  13. 13
    State of Charge Estimation for Lithium-Ion Batteries Using Model-Based and Data-Driven Methods: A Review

    State of Charge Estimation for Lithium-Ion Batteries Using Model-Based and Data-Driven Methods: A Review by How D.N.T., Hannan M.A., Hossain Lipu M.S., Ker P.J.

    Published 2023
    Review
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  14. 14
    MODELLING AND SIMULATION OF AIR POLLUTION EMISSION USING LINE SOURCE DISPERSION MODEL

    MODELLING AND SIMULATION OF AIR POLLUTION EMISSION USING LINE SOURCE DISPERSION MODEL by MEOR KAMARUL ZAMAN, MAI NAZURA

    Published 2009
    “…The main attraction of this model lies in the simplicity of its application. …”
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  15. 15
    A STUDY OF MARINE CSEM SURVEY GEOMETRY FOR SEABED LOGGING

    A STUDY OF MARINE CSEM SURVEY GEOMETRY FOR SEABED LOGGING by HUSSAIN, NAZABAT HUSSAIN

    Published 2011
    “…In this research, a forward modeling algorithm is employed as a staggered-grid finite difference solution to the totalelectric field Maxwell’s equations. …”
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  16. 16
    A Film-Pore-Surface Concentration Dependent Model For Adsorption Of Dye Onto Activated Carbon

    A Film-Pore-Surface Concentration Dependent Model For Adsorption Of Dye Onto Activated Carbon by Choong, Thomas S. Y., Chuah, T. G., Idris, Azni, Lai, Y. L., Quek, S. Y.

    Published 2005
    “…The Adsorption Isotherm Is Obtained From Batch Studies. The Mass Transfer Coefficients Of The Batch Studies Need To Be Extracted By Matching The Model With The Experimental Data. …”
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  17. 17
    Command shaping control of a crane system

    Command shaping control of a crane system by King, Shyang Sien

    Published 2006
    “…Then, the model of the gantry crane system is developed to represent the dynamic equations of motion in state space. …”
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  18. 18
    Transient multiexponential data analysis using a combination of ARMA and ECD methods

    Transient multiexponential data analysis using a combination of ARMA and ECD methods by Jibia, Abdussamad Umar, Salami, Momoh Jimoh Eyiomika

    Published 2012
    “…First, exponential compensation deconvolution method is used to deconvolved the discrete convolution model arising from the application of Gardner transform. …”
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  19. 19
    An integrated approach for the prediction of water quality index based on land use attribute using data generation method and back propagation network algorith

    An integrated approach for the prediction of water quality index based on land use attribute using data generation method and back propagation network algorith by Gorashi, Faris, Abdullah, Alias

    Published 2009
    “…The method used exponential model equation, Lagrange model equation 3rd & fourth degree polynomial fit, saturation growth-rate model in order to generate the required data and artificial neural network’s back propagation network algorithm. …”
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  20. 20
    The use of radar-rainfall inputs for quantitative precipitation estimation (QPE) in Klang River Basin / Suzana Ramli

    The use of radar-rainfall inputs for quantitative precipitation estimation (QPE) in Klang River Basin / Suzana Ramli by Ramli, Suzana

    Published 2015
    “…However, radar faces several glitches that hinder its accuracy. Among the problem reported on radar application in quantitative precipitation estimation (QPE) is the inappropriate reflectivity-radar (Z-R) equation used to convert reflectivity to rainfall rate.This research focuses on Z-R relationships in radar conversion to obtain rain data especially for Klang River Basin. …”
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