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  1. 1
    Non-Parametric and Parametric Estimations of Cure Fraction Using Right-and Interval-Censored Data

    Non-Parametric and Parametric Estimations of Cure Fraction Using Right-and Interval-Censored Data by Aljawdi, Bader

    Published 2011
    “…In this thesis, we considered two methods via the expectation maximization (EM) algorithm for cure rate estimation based on the BCH model using the two censoring types common to cancer clinical trials; namely, right and interval censoring. …”
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  2. 2
    DEVELOPMENT OF AN AUTOMATED FLOW RATE ESTIMATION METHOD

    DEVELOPMENT OF AN AUTOMATED FLOW RATE ESTIMATION METHOD by EMALISA BINTI KAMSANI, EMALISA

    Published 2012
    “…In this project, a flow rate estimation mettrod will be developed using the MATL^ab algorithm. …”
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  3. 3
    Turnbull versus Kaplan-Meier estimators of cure rate estimation using interval censored data

    Turnbull versus Kaplan-Meier estimators of cure rate estimation using interval censored data by Aljawadi, Bader Ahmad I., Abu Bakar, Mohd Rizam, Ibrahim, Noor Akma

    Published 2012
    “…Thus, the non-parametric estimation methods are employed by means of the EM algorithm. …”
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  4. 4
    COMPARATIVE ANALYSIS OF OPTICAL FLOW MEASUREMENT TECHNIQUE

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

    Published 2017
    “…At that time, there was no accurate method to estimate the flow rate of the hydrocarbon leakage. …”
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  5. 5
    Robust remote heart rate estimation from multiple asynchronous noisy channels using autoregressive model with Kalman filter

    Robust remote heart rate estimation from multiple asynchronous noisy channels using autoregressive model with Kalman filter by Nooralishahi, Parham, Loo, Chu Kiong, Shiung, Liew Wei

    Published 2019
    “…We propose a novel algorithm to estimate heart rate. Also, it can differentiate between a photo of a human face and an actual human face meaning that it can detect false signals and skip them. …”
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  6. 6
    Evaluating A New Adaptive Group Lasso Imputation Technique For Handling Missing Values In Compositional Data

    Evaluating A New Adaptive Group Lasso Imputation Technique For Handling Missing Values In Compositional Data by Tian, Ying

    Published 2024
    “…Considering the impact of outliers on the accuracy of estimation, both simulation and case analysis are conducted to compare the proposed algorithm against four existing methods. …”
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  7. 7
    Estimation of foreign workers in Malaysia by using Euler’s method and least square method / Nur Fatin Adibah Mohd Zin

    Estimation of foreign workers in Malaysia by using Euler’s method and least square method / Nur Fatin Adibah Mohd Zin by Mohd Zin, Nur Fatin Adibah

    Published 2021
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  8. 8
    Estimation of the Epidemiological Parameter for the COVID-19 Outbreak

    Estimation of the Epidemiological Parameter for the COVID-19 Outbreak by Muhammad Fahmi, Ahmad Zuber, Norhayati, Rosli, Noryanti, Muhammad

    Published 2024
    “…In this study, we propose a Metropolis-Hastings algorithm of the Markov Chain Monte Carlo (MCMC) method to estimate the epidemiological parameters of infectious rate, fatality rate, recovery rate, and reproduction numbers. …”
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  9. 9
    Maximum likelihood estimation with dynamic measurement errors and application to interest rate modeling

    Maximum likelihood estimation with dynamic measurement errors and application to interest rate modeling by Misiran, Masnita

    Published 2016
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  10. 10
    REGION-BASED ADAPTIVE DISTRIBUTED VIDEO CODING CODEC

    REGION-BASED ADAPTIVE DISTRIBUTED VIDEO CODING CODEC by ABDELRAHMAN ELAMIN, ABDELRAHMAN ELAMIN

    Published 2011
    “…However, the rate cannot be exactly calculated at the encoder, instead it can only be estimated. …”
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  11. 11
    DEVELOPMENT AND TESTING OF UNIVERSAL PRESSURE DROP MODELS IN PIPELINES USING ABDUCTIVE AND ARTIFICIAL NEURAL NETWORKS

    DEVELOPMENT AND TESTING OF UNIVERSAL PRESSURE DROP MODELS IN PIPELINES USING ABDUCTIVE AND ARTIFICIAL NEURAL NETWORKS by AYOUB MOHAMMED, MOHAMMED ABDALLA

    Published 2011
    “…It was found that (by the Group Method of Data Handling algorithm), length of the pipe, wellhead pressure, and angle of inclination have a pronounced effect on the pressure drop estimation under these conditions. …”
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  12. 12
    A review article on software effort estimation in agile methodology

    A review article on software effort estimation in agile methodology by Sudarmaningtyas, Pantjawati, Rozlina, Mohamed

    Published 2021
    “…Therefore, this study aimed to ascertain the software effort estimation method that is applied in Agile, the implementation approach, and the attributes that affect effort estimation. …”
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  13. 13
    A review article on software effort estimation in agile methodology

    A review article on software effort estimation in agile methodology by Sudarmaningtyas, Pantjawati, Rozlina, Mohamed

    Published 2021
    “…Therefore, this study aimed to ascertain the software effort estimation method that is applied in Agile, the implementation approach, and the attributes that affect effort estimation. …”
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  14. 14
    Modeling The Modified Internal Rate Of Return (Mirr) For Long-Term Investment Strategy By The Assumption Of Gamma Distribution

    Modeling The Modified Internal Rate Of Return (Mirr) For Long-Term Investment Strategy By The Assumption Of Gamma Distribution by Sayed, Amani Idris A

    Published 2023
    “…Alternative approaches such as the Simulated Annealing (SA) algorithm, which maximizes the log-likelihood function, and Bayesian MCMC estimation are considered. …”
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  15. 15
    Parametric cure fraction models for interval-censoring with a change-point based on a covariate threshold

    Parametric cure fraction models for interval-censoring with a change-point based on a covariate threshold by Ali Taweab, Fauzia

    Published 2015
    “…The parametric maximum likelihood estimation method is employed to verify the performance of the MCM within the framework of the expectation-maximization (EM) algorithm while the estimation methods for other models are employed in a simpler and straightforward setting. …”
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  16. 16
    Ant colony optimization and genetic algorithm models for suspended sediment discharge estimation for gorgan-river, Iran

    Ant colony optimization and genetic algorithm models for suspended sediment discharge estimation for gorgan-river, Iran by Mohammad Reza Pour, Omolbani

    Published 2011
    “…For the annually method the result showed that the GA1 has good performance than sediment rating curve and ACO1 techniques. …”
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  17. 17
    A Computationally Efficient Least Square Channel Estimation Method for MIMO-OFDM Systems

    A Computationally Efficient Least Square Channel Estimation Method for MIMO-OFDM Systems by Ahmad, Hasan, Motakabber, S. M. A., Anwar, Farhat, Habaebi, Mohamed Hadi, Ibrahimy, Muhammad Ibn

    Published 2021
    “…Some of the most popular methods used in cellular communication for channel estimation are the Least Squares (LS) algorithm and the Minimum Mean Square Error (MMSE) algorithm. …”
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  18. 18
    Comparisons of Signal Subspace Methods for Estimating Visual Evoked Potentials

    Comparisons of Signal Subspace Methods for Estimating Visual Evoked Potentials by Yusoff, Mohd Zuki, Nidal S., Kamel

    Published 2008
    “…These algorithms denoted as Signal Subspace Method 1 (SSM1) and Signal Subspace Method 2 (SSM2) are able to satisfactorily extract the P100, P200 and P300 peak latencies from artificially generated noisy VEPs subjected to SNRs from 0 to -10 dB. …”
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  19. 19
    Estimation of non-contact smartphone video-based vital sign monitoring using filtering and standard color conversion techniques

    Estimation of non-contact smartphone video-based vital sign monitoring using filtering and standard color conversion techniques by Qayyum, A., Malik, A.S., Shuaibu, A.N., Nasir, N.

    Published 2018
    “…This rPPG signal could perform better as compared to the standard vital signs estimation methods. The Inter beat interval (IBI) based on maximum peak detection approach has been used for heart rate variability estimation. …”
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  20. 20
    An analytical approach on parametric estimation of cure fraction based on weibull distribution using interval censored data.

    An analytical approach on parametric estimation of cure fraction based on weibull distribution using interval censored data. by I. Aljawadi , Bader Ahmad, Abu Bakar, Mohd Rizam, Ibrahim, Noor Akma

    Published 2011
    “…Maximum likelihood estimation (MLE) method is proposed to estimate the parameters within the framework of expectation-maximization (EM) algorithm, Newton Raphson method also employed. …”
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