Search Results - (( using simulation method algorithm ) OR ( group estimation method algorithm ))
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1
Robust estimation methods for fixed effect panel data model having block-concentrated outliers
Published 2019“…The Ordinary Least Squares (OLS) is the commonly used method to estimate the parameters of fixed effect panel data model. …”
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Thesis -
2
Evaluating A New Adaptive Group Lasso Imputation Technique For Handling Missing Values In Compositional Data
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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3
Non-probabilistic approach to cooperative position tracking in large swarm of simple mobile robots using triangular cross-observation
Published 2013“…The performance of the algorithm was validated and compared against that of the EKF through series of simulations using Stage multi-agent simulator. …”
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4
Parameter estimation and outlier detection for some types of circular model / Siti Zanariah binti Satari
Published 2015“…Model verification of all method and model proposed in this study are examined using the simulation study. …”
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5
Competing risks for reliability analysis using Cox’s model
Published 2007“…This paper seeks to show that, with a large sample size based on expectation maximization (EM) algorithm, both models give similar results. Design/methodology/approach – The parameters of the models have been estimated by method of maximum likelihood based on EM algorithm. …”
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Article -
6
Robust Kernel Density Function Estimation
Published 2010“…The classical kernel density estimation technique is the commonly used method to estimate the density function. …”
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7
DEVELOPMENT OF COMPOSITIONAL MODEL FOR PREDICTING VISCOSITY OF CRUDE OILS USING POLYNOMIAL NEURAL NETWORKS (PNN) INDUCED BY GROUP METHOD OF DATA HANDLING (GMDH)
Published 2011“…Throughout the years, although many of the common correlations were developed, laboratory measurements still cannot be replaced due to the complexities, varied composition and reservoir characteristics difference from different reservoirs. This study estimates crude oil viscosity by using a group method of data handling (GMDH) based on polynomial neural network (PNN). …”
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Final Year Project -
8
Slight-Delay Shaped Variable Bit Rate (SD-SVBR) Technique for Video Transmission
Published 2011“…It is designed based on the Shaped VBR (SVBR) algorithm and was implemented in the Network Simulator 2 (ns-2). …”
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9
Integrated applications of building information modeling in project cost management: a systematic review
Published 2023“…A total of 46 related articles were identified and analyzed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses method. …”
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Modelling and Forecasting the Kuala Lumpur Composite Index Rate of Returns Using Generalised Autoregressive Conditional Heteroscedasticity Models
Published 2004“…The EM algorithm is applied to split the heterogeneous data, and the estimated parameters are used to correct the outlying data using the Mahalanobis Distance. …”
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12
Mathematical modeling of brain tumor cell growth for passive, active and oxygen transport mechanism with microgravity condition / Norfarizan Mohd Said
Published 2018“…The sequential algorithms for these methods are developed and written in Matlab R2009a code to produce the numerical simulations of the models. …”
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13
Gibbs excess energy model to predict phase behaviour of brine/oil/surfactant mixtures for Chemical Enhanced Oil Recovery CEOR methods
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Conference or Workshop Item -
14
Age Group Estimation from Face Images
Published 2015“…We have proposed an age group estimation algorithm based on the wrinkle features on the face image. …”
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Final Year Project / Dissertation / Thesis -
15
Development Of Distributed Grid-Based Hydrological Model And Floodplain Inundation Management System
Published 2008“…The land use/cover classes were derived from interpreted information of Landsat TM imagery using the combined object-oriented segmentation - fuzzy logic algorithm. …”
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16
Kinetic parameters estimation of the Escherichia coli (E. coli) model by Garra Rufa-inspired Optimization Algorithm (GRO)
Published 2024“…As a result of this new method, it was discovered that small-scale and even whole-cell dynamic models can be estimated accurately.…”
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An adaptive block-based matching algorithm for crowd motion sequences
Published 2018“…For crowd analytics and surveillance systems, motion estimation is an essential first step. Lots of crowd motion estimation algorithms have been presented in the last years comprising pedestrian motion. …”
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18
An adaptive block-based matching algorithm for crowd motion sequences
Published 2018“…For crowd analytics and surveillance systems, motion estimation is an essential first step. Lots of crowd motion estimation algorithms have been presented in the last years comprising pedestrian motion. …”
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19
1D Multigrid Solver For Finite Element Method
Published 2022“…The new algorithm also has been tested using time simulation. …”
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Monograph -
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Grouping based radio frequency identification anti-collision protocols for dense internet of things application
Published 2022“…This paper analyzes selected grouping-based algorithms. Their underlining principles are discussed including their tag estimation methods. …”
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