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  1. 1
    Ball surface representations using partial differential equations

    Ball surface representations using partial differential equations by Kherd, Ahmad Saleh Abdullah

    Published 2015
    “…Hence, this new algorithm is a viable alternative for constructing generalized Ball surfaces. …”
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  2. 2
    Parallel Implementation of Two Level Barotropic Models Applied to the Weather Prediction Problem

    Parallel Implementation of Two Level Barotropic Models Applied to the Weather Prediction Problem by Bahri, Susila

    Published 2004
    “…Then the parallel algorithms are constructed and run using the Beowulf Cluster machine. …”
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  3. 3
    Fuzzy algorithm for 3D coastal gemorphology mapping by DInSAR

    Fuzzy algorithm for 3D coastal gemorphology mapping by DInSAR by Marghany, Maged, Hashim, Mazlan

    Published 2007
    “…The basic concept of fuzzy algorithm was used to filter DInSAR data. The equation of phase difference was modified by involving the weighted least square method. …”
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  4. 4
    Dynamic determinant matrix-based block cipher algorithm

    Dynamic determinant matrix-based block cipher algorithm by Juremi, Julia

    Published 2018
    “…This research also proposes a new method namely RotateSwapDeterminant function that uses rotation and swapping of the bit based on the 4x4 determinant computations and will act as the permutation layer in the DDBC algorithm. …”
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  5. 5
    Fast Finite Difference Time Domain Algorithms for Solving Antenna Application Problem

    Fast Finite Difference Time Domain Algorithms for Solving Antenna Application Problem by Hasan, Mohammad Khatim

    Published 2008
    “…In parallel implementation, techniques such as static scheduling, data decomposition and load balancing is used. Based on experimental results and complexity analysis, these new sequential and parallel algorithms are compared with the standard sequential and parallel FDTD algorithms, respectively. …”
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  6. 6
    PSO and Linear LS for parameter estimation of NARMAX/NARMA/NARX models for non-linear data / Siti Muniroh Abdullah

    PSO and Linear LS for parameter estimation of NARMAX/NARMA/NARX models for non-linear data / Siti Muniroh Abdullah by Abdullah, Siti Muniroh

    Published 2017
    “…Typically, parameter estimation is performed using various types of Least Squares (LS) algorithms due to its stable and efficient numerical computation. …”
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  7. 7
    3D solid robot animation design based on ADAMS

    3D solid robot animation design based on ADAMS by Baojian Yang, Yongning Deng, Xia Yue, Tze, Kenneth Kin Teo

    Published 2023
    “…In this paper, the BIOLOID robot assembly kit is used as the research platform. 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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  8. 8
    Influences of Cost Factors Affecting Technical Performance of Local Government Projects in Nigeria: A Partial Least Square-Structural Equation Modeling (PLS-SEM) Approach

    Influences of Cost Factors Affecting Technical Performance of Local Government Projects in Nigeria: A Partial Least Square-Structural Equation Modeling (PLS-SEM) Approach by Gambo, Nuru, Said, Ilias, Ismail, Radzi

    Published 2016
    “…A Warp partial least square-structural equation modeling (PLS-SEM) software algorithm was used for the analysis of collected data. …”
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  9. 9
    3D prediction of tunneling-induced ground movements based on a hybrid ANN and empirical methods

    3D prediction of tunneling-induced ground movements based on a hybrid ANN and empirical methods by Hajihassani, M., Kalatehjari, R., Marto, A., Mohamad, H., Khosrotash, M.

    Published 2019
    “…To overcome these problems, the use of optimization algorithms to train ANNs is of advantage. …”
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  10. 10
    3D prediction of tunneling-induced ground movements based on a hybrid ANN and empirical methods

    3D prediction of tunneling-induced ground movements based on a hybrid ANN and empirical methods by Hajihassani, M., Kalatehjari, R., Marto, A., Mohamad, H., Khosrotash, M.

    Published 2020
    “…To overcome these problems, the use of optimization algorithms to train ANNs is of advantage. …”
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  11. 11
    Variable Neighborhood Descent and Whale Optimization Algorithm for Examination Timetabling Problems at Universiti Malaysia Sarawak

    Variable Neighborhood Descent and Whale Optimization Algorithm for Examination Timetabling Problems at Universiti Malaysia Sarawak by Emily Sing Kiang, Siew

    Published 2025
    “…A constructive algorithm was developed to generate an initial feasible solution, which was subsequently refined using two primary approaches to evaluate their efficiency: Iterative Threshold Pipe Variable Neighborhood Descent (IT-PVND), and a modified Whale Optimization Algorithm (WOA). …”
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  12. 12
    Mobile robot positioning system

    Mobile robot positioning system by Khairulnizam Othman

    Published 2008
    “…Data from the experiment was used as the discussion for the result and future works of the project. …”
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    Learning Object
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  13. 13
    Study of Free Falling Particle in Viscous Fluid

    Study of Free Falling Particle in Viscous Fluid by a/l Jeyaprakasam, Gajendran

    Published 2016
    “…Matrix Laboratory or Matlab is used to solve, model and simulate the motion of particle based on already proven mathematical modelling and numerical methods. …”
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    Final Year Project
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  14. 14
    Wastewater treatment process: a modified model for oxidation pond

    Wastewater treatment process: a modified model for oxidation pond by Syafiqah Hanis, Mohd Fauzi

    Published 2021
    “…The model has been solved numerically by using the 4th order Runge-Kutta method and a parameter fitting technique namely Nelder-Mead simplex algorithm embedded in MATLAB software. …”
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  15. 15
    A NEW APPROACH IN EMPIRICAL MODELLING OF CO2 CORROSION WITH THE PRESENCE OF HAc AND H2S

    A NEW APPROACH IN EMPIRICAL MODELLING OF CO2 CORROSION WITH THE PRESENCE OF HAc AND H2S by PANCA ASMARA, YULI PANCA ASMARA

    Published 2011
    “…The corrosion experiments are based on both linear polarization resistance (LPR) and electrochemical impedance spectroscopy (EIS) methods. …”
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  16. 16
    The duality of technological innovation and dynamic capabilities: the micro-foundation of China's construction machinery industry's rise up the global value chain

    The duality of technological innovation and dynamic capabilities: the micro-foundation of China's construction machinery industry's rise up the global value chain by Xia, Weifu, Alwie, Aryaty, Taasim, Shairil Izwan, Jin, Wong Tze, Naning, Fatin Hana

    Published 2024
    “…The study adopts a mixed research method, combining large-scale patent data analysis and in-depth case study, and constructs a longitudinal data set of 146 Chinese construction machinery enterprises from 2005 to 2022. …”
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  17. 17
    SURE-Autometrics algorithm for model selection in multiple equations

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

    Published 2016
    “…The SURE-Autometrics is also validated using two sets of real data by comparing the forecast error measures with five model selection algorithms and three non-algorithm procedures. …”
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  18. 18
    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
    “…The empirical results for both algorithms performed well as compared to other models selection procedures, particularly using WQI data where the sample size is bigger and has good quality data. …”
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  19. 19
    An evolutionary based features construction methods for data summarization approach

    An evolutionary based features construction methods for data summarization approach by Rayner Alfred, Suraya Alias, Chin, Kim On

    Published 2015
    “…In this work, we empirically compare the predictive accuracies of classification tasks based on the proposed feature construction methods and also the existing feature construction methods. …”
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  20. 20
    Reservoir Inflow Forecasting Using Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System Techniques

    Reservoir Inflow Forecasting Using Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System Techniques by Googhari, Shahram Karimi

    Published 2007
    “…Daily reservoir inflow was computed using a water balance equation. The reservoir inflow and rainfall data sets were examined for normal distribution and the best data transformation was used. …”
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