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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
    “…In conclusion, the performance of model selection in multiple equations using SURE-Autometrics is dependent upon data quality and complexities of the SURE model.…”
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  2. 2
    Extended multiple models selection algorithms based on iterative feasible generalized least squares (IFGLS) and expectation-maximization (EM) algorithm

    Extended multiple models selection algorithms based on iterative feasible generalized least squares (IFGLS) and expectation-maximization (EM) algorithm by Nur Azulia, Kamarudin

    Published 2019
    “…This extension of Autometrics for model selection was also developed for multiple equations by integrating it with seemingly unrelated regressions equations (SURE) and estimated using feasible generalized least squares (FGLS), known as SURE-Autometrics algorithm. …”
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  3. 3
    Sampling weight adjustments in partial least squares structural equation modeling: guidelines and illustrations

    Sampling weight adjustments in partial least squares structural equation modeling: guidelines and illustrations by Cheah, Jun Hwa, Roldan, Jose L., Ciavolino, Enrico, Ting, Hiram, Ramayah, T.

    Published 2020
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  4. 4
    Multiple equations model selection algorithm with iterative estimation method

    Multiple equations model selection algorithm with iterative estimation method by Kamarudin, Nur Azulia, Ismail, Suzilah

    Published 2016
    “…In particular, an algorithm on model selection for seemingly unrelated regression equations model using iterative feasible generalized least squares estimation method is proposed. …”
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  5. 5
    Sure (EM)-Autometrics: An Automated Model Selection Procedure with Expectation Maximization Algorithm Estimation Method (S/O 14925)

    Sure (EM)-Autometrics: An Automated Model Selection Procedure with Expectation Maximization Algorithm Estimation Method (S/O 14925) by Kamarudin, Nur Azulia

    Published 2021
    “…Then, an empirical comparison of four model selection techniques was conducted using national growth rates and water quality index (WQI) data. …”
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  6. 6
    The implications for ahybrid detection technique against malicious sqlattacks on web applications

    The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

    Published 2025
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  7. 7
    Predictor-corrector scheme in modified block method for solving delay differential equations with constant lag

    Predictor-corrector scheme in modified block method for solving delay differential equations with constant lag by Nurul Huda Abdul Aziz, Zanariah Abdul Majid, Fudziah Ismail

    Published 2014
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  8. 8
    Predictor-corrector scheme in modified block method for solving delay differential equations with constant lag

    Predictor-corrector scheme in modified block method for solving delay differential equations with constant lag by Abdul Aziz, Nurul Huda, Abdul Majid, Zanariah, Ismail, Fudziah

    Published 2014
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  9. 9
    Unsupervised Deep Learning Algorithm to Solve Sub-Surface Dynamics for Petroleum Engineering Applications

    Unsupervised Deep Learning Algorithm to Solve Sub-Surface Dynamics for Petroleum Engineering Applications by Kumar, A., Ridha, S., Ilyas, S.U.

    Published 2020
    “…The solution provided by deep learning for a differential equation is in a closed analytical form which is differentiable and could be used in any subsequent computation. …”
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  10. 10
    The normalized random map of gradient for generating multifocus image fusion

    The normalized random map of gradient for generating multifocus image fusion by Ismail, ., Kamarul Hawari, Ghazali

    Published 2020
    “…In order to handle this problem, the proposed method a concise algorithm which is able to generate an accurate fused image without using a complicated mathematical equation and tough algorithm. …”
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  11. 11
    Model selection approaches of water quality index data

    Model selection approaches of water quality index data by Kamarudin, Nur Azulia, Ismail, Suzilah

    Published 2016
    “…Automatic model selection by using algorithm can avoid huge variability in model specification process compared to manual selection.With the employment of algorithm, the right model selected is then also used for forecasting purposes. …”
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  12. 12
    Evolution of transformer health index in the form of mathematical equation

    Evolution of transformer health index in the form of mathematical equation by Azmi, Akma, Jasni, Jasronita, Azis, Norhafiz, Ab Kadir, Mohd Zainal Abidin

    Published 2017
    “…This paper critically examines and explores the previous studies related to transformer health index by using mathematical equation/algorithm or expert judgment. …”
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  13. 13
    Investigation And Development Of Flattening Algorithms For Curved Latent Fingerprint Images

    Investigation And Development Of Flattening Algorithms For Curved Latent Fingerprint Images by Chong, Bei Wei

    Published 2015
    “…Since curved image appears to be rectangular shape, parabolic approximation and ellipse approximation are being used to design algorithms for flattening. Experimental results prove that algorithm that applies ellipse equation to flatten fingerprint images able to increase the quality of the minutiae. …”
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  14. 14
    Application of boundary-fitted convolutional neural network to simulate non-Newtonian fluid flow behavior in eccentric annulus

    Application of boundary-fitted convolutional neural network to simulate non-Newtonian fluid flow behavior in eccentric annulus by Kumar, A., Ridha, S., Ilyas, S.U., Dzulkarnain, I., Pratama, A.

    Published 2022
    “…The simulated results and parametric analysis conclude that the proposed algorithm can decipher the non-Newtonian fluid mechanics from the governing equations. …”
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  15. 15
    Physics-guided deep neural network to characterize non-Newtonian fluid flow for optimal use of energy resources

    Physics-guided deep neural network to characterize non-Newtonian fluid flow for optimal use of energy resources by Kumar, A., Ridha, S., Narahari, M., Ilyas, S.U.

    Published 2021
    “…In this research, a novel algorithm (Herschel Bulkley Network) is introduced to simulate the non-Newtonian fluid flow in a pipe using data redundant deep neural network (DNN) for fully developed, laminar, and incompressible flow conditions. …”
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  16. 16
    Solving fractional differential equations using fractional explicit method

    Solving fractional differential equations using fractional explicit method by Yip, Lian Yiung, Zanariah Abdul Majid

    Published 2024
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  17. 17
    Solving fractional differential equations using fractional explicit method

    Solving fractional differential equations using fractional explicit method by Yiung, Yip Lian, Abdul Majid, Zanariah

    Published 2024
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  18. 18
    Numerical analysis

    Numerical analysis by Butcher, John

    Published 2008
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  19. 19
    Application of extended method of classes for solving population balance equations and optimization study for crystallization process involving dissolution phenomena

    Application of extended method of classes for solving population balance equations and optimization study for crystallization process involving dissolution phenomena by Siti Zubaidah, Adnan, Noor Asma Fazli, Abdul Samad

    Published 2019
    “…One of the widely approach to represent crystal quality in terms of crystal size distribution (CSD) and to solve population balance equations (PBE) is by using method of classes (MOC). …”
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  20. 20
    A matlab-based graphical user interface (GUI) to predict the food quality during frying process

    A matlab-based graphical user interface (GUI) to predict the food quality during frying process by Siti Nabihah, Othman

    Published 2022
    “…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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