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  1. 1
    New Fast Block Matching Algorithm Using New Hybrid Search Pattern And Strategy To Improve Motion Estimation Process In Video Coding Technique

    New Fast Block Matching Algorithm Using New Hybrid Search Pattern And Strategy To Improve Motion Estimation Process In Video Coding Technique by Hamid, Nurul 'Atiqah

    Published 2016
    “…These 6 algorithms are divided into 3 main methods namely Method A, Method B, and Method C depending on their search patterns and strategies. …”
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  2. 2
    Estimation in spot welding parameters using genetic algorithm

    Estimation in spot welding parameters using genetic algorithm by Lukman, Hafizi

    Published 2007
    “…The application has widespread in many areas especially in system and control engineering. Genetic algorithm (GA) used as parameter estimation method for a model structure. …”
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  3. 3
    Adaptive beamforming algorithm based on Simulated Kalman Filter

    Adaptive beamforming algorithm based on Simulated Kalman Filter by Kelvin Lazarus, Lazarus

    Published 2017
    “…There are many methods to perform adaptive beamforming and one of the method is to use metaheuristic algorithm, to estimate the weights for individual elements in an array. …”
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  4. 4
    Simulated Kalman Filter algorithms for solving optimization problems

    Simulated Kalman Filter algorithms for solving optimization problems by Nor Hidayati, Abdul Aziz

    Published 2019
    “…These algorithms are inspired by the estimation capability of the well-known Kalman filter estimation method. …”
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  5. 5
    Parameter estimation in double exponential smoothing using genetic algorithm / Foo Fong Yeng, Lau Gee Choon and Zuhaimy Ismail

    Parameter estimation in double exponential smoothing using genetic algorithm / Foo Fong Yeng, Lau Gee Choon and Zuhaimy Ismail by Foo, Fong Yeng, Lau, Gee Choon, Ismail, Zuhaimy

    Published 2014
    “…The objective of this research is to estimate the Double Exponential Smoothing by using Genetic Algorithm Mechanism. …”
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  6. 6
    The use of a partially simulated exothermic reactor to test nonlinear algorithms

    The use of a partially simulated exothermic reactor to test nonlinear algorithms by Hussain, Mohd Azlan, Kittisupakorn, Paisan, Kershenbaum, L.

    Published 2000
    “…However although much simulation work has been performed with these methods, simulation only is inadequate to guarantee that these algorithms could be successfully implemented in real plants. …”
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  7. 7
    Performance Enhancement of Routing Protocols in Mobile Wireless Ad-Hoc Networks Using Fuzzy Reasoning Algorithm

    Performance Enhancement of Routing Protocols in Mobile Wireless Ad-Hoc Networks Using Fuzzy Reasoning Algorithm by Natsheh, Essam Fathi

    Published 2006
    “…In the first method, the fuzzy reasoning is used to estimate the time route can stay active in the routing table. …”
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  8. 8
    Parameter Estimation Using Improved Differential Evolution And Bacterial Foraging Algorithms To Model Tyrosine Production In Mus Musculus(Mouse)

    Parameter Estimation Using Improved Differential Evolution And Bacterial Foraging Algorithms To Model Tyrosine Production In Mus Musculus(Mouse) by Jia, Xing Yeoh, Chuii, Khim Chong, Mohd Saberi, Mohamad, Yee, Wen Choon, Lian, En Chai, Safaai, Deris, Zuwairie, Ibrahim

    Published 2015
    “…The results from this experiment show estimated optimal kinetic parameters values, shorter computation time, and better accuracy of simulated results compared with other estimation algorithms.…”
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  9. 9
    An enhanced segment particle swarm optimization algorithm for kinetic parameters estimation of the main metabolic model of Escherichia coli

    An enhanced segment particle swarm optimization algorithm for kinetic parameters estimation of the main metabolic model of Escherichia coli by Mohammed Adam, Kunna, Tuty Asmawaty, Abdul Kadir, Muhammad Akmal, Remli, Noorlin, Mohd Ali, Kohbalan, Moorthy, Noryanti, Muhammad

    Published 2020
    “…The results revealed that the proposed method had the ability to deal with kinetic parameters estimation in terms of time consumption and distance minimization.…”
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  10. 10
    Trajectory planning and simulation for 3d printing process

    Trajectory planning and simulation for 3d printing process by Ng, Chin Yong

    Published 2022
    “…The slicing method used is basic slicing. The slicing algorithm consists of two sections: intersection point tracking algorithm and contour creation algorithm. …”
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  11. 11
    COMPARATIVE ANALYSIS OF OPTICAL FLOW MEASUREMENT TECHNIQUE

    COMPARATIVE ANALYSIS OF OPTICAL FLOW MEASUREMENT TECHNIQUE by NIZAM AKBAR, AMAR NAZMI ZULKARNAIN

    Published 2017
    “…The main motivation of this research is to do a comparative analysis of the four cross correlation algorithm as mentioned above. The four algorithms were used to estimate the flow rate where five simulations with five different flow rates were measured in order to determine the accuracy of each algorithm. …”
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  12. 12
    APPLICATION OF BURG’S ALGORITHM IN STATE ESTIMATION

    APPLICATION OF BURG’S ALGORITHM IN STATE ESTIMATION by Mohd Nor, Nursyarizal, Jegatheesan, Ramiah

    Published 2008
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  13. 13
    On time-domain OFDM channel estimation: Use of pilots correlation for digital video broadcasting (DVB) cable receiver

    On time-domain OFDM channel estimation: Use of pilots correlation for digital video broadcasting (DVB) cable receiver by Khan, A.M., Jeoti, V.

    Published 2015
    “…In this paper, an improved OFDM time domain channel estimation algorithm is proposed for (DVB) Cable receivers. …”
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  14. 14
    Voltage and load profiles estimation of distribution network using independent component analysis / Mashitah Mohd Hussain

    Voltage and load profiles estimation of distribution network using independent component analysis / Mashitah Mohd Hussain by Mohd Hussain, Mashitah

    Published 2014
    “…The ability of ICA algorithm to separate the profiles was evaluated. The work is focused on analysing the results of simulation using ICA method including voltage source control and electric losses of the system. …”
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  15. 15
    Railway wheelset parameter estimation using signals from lateral velocity sensor

    Railway wheelset parameter estimation using signals from lateral velocity sensor by Selamat, H., Alimin, A. J., Sam, Y.M.

    Published 2008
    “…A type of parameter estimation technique based on the linear integral filter (LIF) method, the least-absolute error with variable forgetting factor (LAE+VFF) estimation method, is proposed in this paper to estimate the railway wheelset parameters modelled as a time-varying continuous-time (C-T) system. …”
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  16. 16
    Performance Analysis of Hexagon-Diamond Search Algorithm for Motion Estimation using MATLAB

    Performance Analysis of Hexagon-Diamond Search Algorithm for Motion Estimation using MATLAB by Abdul Manap, Redzuan, Ranjit, S.S.S.

    Published 2010
    “…Simulation results demonstrate that HDS algorithm has speed up other algorithm’s computational work up to 56% while at the same time maintains close performance in terms of PSNR to others. …”
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  17. 17
    Optimal input shaping for vibration control of a flexible manipulator using genetic algorithm

    Optimal input shaping for vibration control of a flexible manipulator using genetic algorithm by Rudrusamy, Bhuvendra

    Published 2005
    “…The input shaping technique is used to reduce vibrations in the system. This method requires estimated values of natural frequencies and damping ratios to generate impulse sequences. …”
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  18. 18
    Estimation of Response Transfer Functions of Offshore Structures Using the Time-Varying ARX Model

    Estimation of Response Transfer Functions of Offshore Structures Using the Time-Varying ARX Model by Yazid, Edwar, Liew, M. S., Parman, Setyamartana, Kurian, V.J.

    Published 2013
    “…Here, we outline a practical algorithm for TVARX model which uses expectation-maximization (EM) algorithm based on Kalman smoother to generate the transfer function. …”
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  19. 19
    Simulation of shortest path using a-star algorithm / Nurul Hani Nortaja

    Simulation of shortest path using a-star algorithm / Nurul Hani Nortaja by Nurul Hani , Nortaja

    Published 2004
    “…This means A • algorithm only calculates and consider the next node m path that has the lowest value of G and F, plus searching the shortest route by using heuristic estimation in Manhattan method. …”
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  20. 20
    Parameter-driven count time series models / Nawwal Ahmad Bukhari

    Parameter-driven count time series models / Nawwal Ahmad Bukhari by Nawwal , Ahmad Bukhari

    Published 2018
    “…Simulation shows that MCEM algorithm and particle method are useful for the parameter estimation of the Poisson model. …”
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