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  1. 1
    Neighbour-based on-demand routing algorithms for mobile ad hoc networks

    Neighbour-based on-demand routing algorithms for mobile ad hoc networks by Ejmaa, Ali Mohamed E.

    Published 2017
    “…All the three proposed algorithms are evaluated using discrete event simulation, in particular Network Simulator tool (NS2), and compared with the latest routing algorithm (NCPR ) and fundamental algorithm (AODV) using five performance metrics. …”
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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
    “…Thus, an accurate mathematical model is important because most system parameters vary with time. Curve modeling of power generation is a significant tool for evaluating system performance, monitoring and forecasting. …”
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  3. 3
    Parameter characterization of PEM fuel cell mathematical models using an orthogonal learning-based GOOSE algorithm

    Parameter characterization of PEM fuel cell mathematical models using an orthogonal learning-based GOOSE algorithm by Manoharan P., Ravichandran S., Kavitha S., Tengku Hashim T.J., Alsoud A.R., Sin T.C.

    Published 2025
    “…This approach demonstrates the ability of the GOOSE algorithm to simulate complex systems and enhances the robustness and adaptability of the simulation tool by integrating essential behaviours into the computational framework. …”
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  4. 4
    Modeling and multi-objective optimal sizing of standalone photovoltaic system based on evolutionary algorithms

    Modeling and multi-objective optimal sizing of standalone photovoltaic system based on evolutionary algorithms by Ridha, Hussein Mohammed

    Published 2020
    “…Firstly, an improved EM (IEM) algorithm is presented to estimate the five parameters of the single PV-module system. …”
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  5. 5
    Power prediction using the wind turbine power curve and data-driven approaches / Ehsan Taslimi Renani

    Power prediction using the wind turbine power curve and data-driven approaches / Ehsan Taslimi Renani by Ehsan Taslimi , Renani

    Published 2018
    “…To evaluate the performance of the Weibull parameters’ estimator methods, two sets of data are considered, one based on simulated data with different random variable size and the other based on actual data collected from a wind farm in Iran. …”
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  6. 6
    Semiparametric inference procedure for the accelarated failure time model with interval-censored data

    Semiparametric inference procedure for the accelarated failure time model with interval-censored data by Karimi, Mostafa

    Published 2019
    “…The rank-based methods, estimating algorithms, and resampling techniques that are developed do not involve the difficulties of the existing estimating procedures. …”
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  7. 7
    Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence

    Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence by S. S. S. , Ranjit

    Published 2011
    “…There are several block-matching algorithm based on block-based motion estimation techniques have been developed. …”
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  8. 8
    Integrated optimal control and parameter estimation algorithms for discrete-time nonlinear stochastic dynamical systems

    Integrated optimal control and parameter estimation algorithms for discrete-time nonlinear stochastic dynamical systems by Kek, Sie Long

    Published 2011
    “…This thesis describes the development of an efficient algorithm for solving nonlinear stochastic optimal control problems in discrete-time based on the principle of model-reality differences. …”
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  9. 9
    Kernel and multi-class classifiers for multi-floor wlan localisation

    Kernel and multi-class classifiers for multi-floor wlan localisation by Abd Rahman, Mohd Amiruddin

    Published 2016
    “…The multi-class classification strategy is used to ensure quick estimation of the multi-class NN algorithms. All of the algorithms are later combined to provide device location estimation for multi-floor environment. …”
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  10. 10
    Simulated Kalman Filter algorithms for solving optimization problems

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

    Published 2019
    “…Applications and improvements to the HKA algorithm suggest that optimization algorithm based on estimation principle has a huge potential in solving a wide variety of optimization problems. …”
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  11. 11
    Time Difference Of Arrival Estimation Using Fast Fourier Transform Overlap For Underwater Positioning

    Time Difference Of Arrival Estimation Using Fast Fourier Transform Overlap For Underwater Positioning by Tan, Chee Sheng

    Published 2019
    “…This project presents an underwater acoustic positioning system based on time difference of arrival (TDOA) measurement. …”
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  12. 12
    Performance of MIMO space-time coded system and training based channel estimation for MIMO-OFDM system

    Performance of MIMO space-time coded system and training based channel estimation for MIMO-OFDM system by Abdolee, Reza

    Published 2006
    “…Firstly it has investigated the performance of MIMO-STBC system and surveyed the effect of imperfect channel estimation on performance of MIMO-OFDM system. Secondly, it has focused on training based channel estimation algorithm for MIMO-OFDM system. …”
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  13. 13
    MIMO OFDM channel estimation based on RLS algorithm: the time- versus frequency-domain implementations

    MIMO OFDM channel estimation based on RLS algorithm: the time- versus frequency-domain implementations by Hezam, Mohammed Abdo Saeed, Mohd Ali, Borhanuddin, Khatun, Sabira, Noordin, Nor Kamariah, Ismail, Mahamod

    Published 2007
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  14. 14
    LASSO-type estimations for threshold autoregressive and heteroscedastic time series models.

    LASSO-type estimations for threshold autoregressive and heteroscedastic time series models. by Muhammad Jaffri Mohd Nasir

    Published 2020
    “…In this thesis, we propose Least Absolute Shrinkage and Selection Operator (LASSO) type estimators to perform simultaneous parameter estimation and model selection for five specific univariate and multivariate time series models, and develop several algorithms to compute these estimators. …”
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    UMK Etheses
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  15. 15
    An improved Multipath Estimating Delay-Lock-Loop method based on Teager-Kaiser operator

    An improved Multipath Estimating Delay-Lock-Loop method based on Teager-Kaiser operator by Fa, Ji Yuan, Jie, Tian Lian, Yan, Sun Xi, Suqing, Yan, Kamarul Hawari, Ghazali, Khatuni, S.

    Published 2018
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  16. 16
    Parameter estimation of cocomo model using the jaya algorithm for software cost estimation

    Parameter estimation of cocomo model using the jaya algorithm for software cost estimation by Tan, Jie Chee

    Published 2019
    “…This thesis proposed the Jaya algorithm based on estimation of the software based on the COCOMO I model. …”
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    Undergraduates Project Papers
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  17. 17
    Computed tomography and echocardiography image fusion technique for cardiac images

    Computed tomography and echocardiography image fusion technique for cardiac images by Kalahroodi, Samaneh Mazaheri

    Published 2016
    “…It is a new geometrically level Set algorithm for the segmentation of the endocardial contours in echocardiographic images in presence of intensity non-uniformity. …”
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  18. 18
    Time-domain adaptive channel estimation for OFDM-based WLAN with multiple-antennas

    Time-domain adaptive channel estimation for OFDM-based WLAN with multiple-antennas by Hezam, Mohammed Abdo Saeed, Mohd Ali, Borhanuddin, Noordin, Nor Kamariah, Khatun, Sabira, Ismail, Mahamod

    Published 2008
    “…In this paper, an adaptive time-domain (TD) channel estimation scheme, based on recursive least squares (RLS) algorithm, is proposed for multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) based wireless local area networks (WLANs). …”
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  19. 19
    Variable block based motion estimation using hexagon diamond full search algorithm (HDFSA) via block subtraction technique

    Variable block based motion estimation using hexagon diamond full search algorithm (HDFSA) via block subtraction technique by Hardev Singh, Jitvinder Dev Singh

    Published 2015
    “…To evaluate the performance of the developed algorithm, the average PSNR value, average search point and average elapsed processing time is calculated. …”
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  20. 20
    Extended development of a Computer Aided Detection (CAD) system for brain bleed in CT / Muhammad Illyas Abdul Muhji

    Extended development of a Computer Aided Detection (CAD) system for brain bleed in CT / Muhammad Illyas Abdul Muhji by Muhammad Illyas, Abdul Muhji

    Published 2018
    “…Then the new rotation angle is used to detect bleeding in the patient and evaluate the performance of the new algorithm. …”
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