Search Results - (( based estimation method algorithm ) OR ( data normalization based algorithm ))*
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1
Dynamic robust bootstrap method based on LTS estimators
Published 2009“…We call this method Dynamic Robust Bootstrap-LTS based (DRBLTS) because here we have employed the LTS estimator in the modified bootstrap algorithm. …”
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2
Dynamic Robust Bootstrap Algorithm for Linear Model Selection Using Least Trimmed Squares
Published 2009“…We modified the classical bootstrapping algorithm by developing a mechanism based on the robust LTS method to detect the correct number of outliers in the each bootstrap sample. …”
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Thesis -
3
Reduced rank technique for joint channel estimation and joint data detection in TD-SCDMA systems
Published 2013“…The adopted reduced rank technique is based on singular value decomposition algorithm. …”
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4
Reduced-rank technique for joint channel estimation in TD-SCDMA systems.
Published 2013“…The adopted reduced rank technique is based on singular value decomposition algorithm. …”
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5
Reduced Rank Technique for Joint Channel Estimation and Joint Data Detection in TD-SCDMA Systems
Published 2012“…The adopted reduced rank technique is based on singular value decomposition algorithm. …”
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6
Neighbour-based on-demand routing algorithms for mobile ad hoc networks
Published 2017“…Accordingly, a Novel Density-Aware Routing algorithm (NDAR) is proposed. The proposed algorithm totally eliminates the need for fixed threshold values through the use of a novel formula that can easily estimate the node density and replace the fixed threshold value based on the neighbor information. …”
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7
PSO and Linear LS for parameter estimation of NARMAX/NARMA/NARX models for non-linear data / Siti Muniroh Abdullah
Published 2017“…PSO is a swarm-based search algorithm perform a stochastic search to explore the search space. …”
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8
Robust remote heart rate estimation from multiple asynchronous noisy channels using autoregressive model with Kalman filter
Published 2019“…The method obtains ROIs using facial landmarks, then it rectifies illumination based on Normalized Least Mean Square (NLMS) adaptive filter and eliminates non-rigid motions based on standard deviation of fixed length of the signal's segments. …”
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9
Modified least trimmed squares method for face recognition / Nur Azimah Abdul Rahim
Published 2018“…This research addressed severe contamination or occlusion presence in a face recognition based on image data. A modified version of the existing least trimmed square, LTS method with genetic algorithm (LTS with GAs) was proposed to cater the problem of noise or occlusion and improve the performance of face recognition. …”
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10
Statistical data preprocessing methods in distance functions to enhance k-means clustering algorithm
Published 2018“…We introduced two new approaches to normalization techniques to enhance the K-Means algorithms. …”
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11
Particle filter approach for tracking indoor user location using IEEE 802.11 signals
Published 2011“…The paper discussed the comparison between the true location and the estimated location based on two types of signals data: normal data and noise data. …”
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12
Robust variable selection methods for large- scale data in the presence of multicollinearity, autocorrelated errors and outliers
Published 2016“…The Reweighted Multivariate Normal (RMVN) algorithm is incorporated in the algorithm of the BAE-Net. …”
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13
Particle filter approach for estimating indoor mobile user location using IEEE 802.11 signals (F1090)
Published 2011“…The paper discussed the comparison between the true location and the estimated location based on two types of signals data: normal data and noise data. …”
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Proceeding Paper -
14
Application of Evolutionary Algorithm for Assisted History Matching
Published 2014“…Today, tremendous efforts are made to develop Automatic History Matching algorithms. While the automatic method focus on optimization which is normally computer based. …”
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Final Year Project -
15
Modifying maximum likelihood test for solving singularity and outlier problems in high dimensional cases
Published 2021“…To improve the ML estimators and to maintain the high breakdown point while having high dimensional data sets, a new robust estimator of banded Cholesky and L₁-median with Weiszfeld algorithm, MLѡвсн was suggested. …”
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16
Robust Kernel Density Function Estimation
Published 2010“…An extensive simulation study has been carried out to assess the performance of the RKWF-based estimator and RDWF-based estimator. The RKDE based on RKWF and RDWF perform as good as the classical Kernel Density Estimator (KDE) in outlier free data sets. …”
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17
Rank-based inference for the accelerated failure time model in the presence of interval censored data
Published 2016“…The main difficulty with the existing rank-based methods is that they involve estimating functions with the possibility of multiple roots. …”
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Conference or Workshop Item -
18
Modeling and multi-objective optimal sizing of standalone photovoltaic system based on evolutionary algorithms
Published 2020“…Performance results show that the MADE algorithm based on lead-acid battery has a high level of LLP and minimum cost among other types of storage batteries. …”
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19
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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20
Multi-source data fusion framework for remote triaging and prioritization in telemedicine
Published 2015“…As telemedicine consists of three tiers (Sensors/ sources, Base station and Server), the simulation of the proposed frameworks as fusion algorithm in the base station and as healthcare services algorithm in the server was demonstrated. …”
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Thesis