Search Results - ((parameter estimation) OR (rate estimation)) methods algorithm
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1
Estimation of the Epidemiological Parameter for the COVID-19 Outbreak
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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Conference or Workshop Item -
2
COMPARATIVE ANALYSIS OF OPTICAL FLOW MEASUREMENT TECHNIQUE
Published 2017“…At that time, there was no accurate method to estimate the flow rate of the hydrocarbon leakage. …”
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Final Year Project -
3
ADAPTIVE LINEAR ALGORITHMS FOR POWER SYSTEM FUNDAMENTAL AND HARMONIC ESTIMATION
Published 2015“…Several approaches have been presented in the last two decades to estimate the fundamental frequency and harmonics. The most popular algorithm that has been implemented to estimate, and quantify power system fundamental frequency and harmonic components is the Fast Fourier Transform (FFT). …”
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Thesis -
4
Non-Parametric and Parametric Estimations of Cure Fraction Using Right-and Interval-Censored Data
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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Thesis -
5
A comparative study of evolutionary algorithms and adapting control parameters for estimating the parameters of a single-diode photovoltaic module's model
Published 2023“…Algorithms; Diodes; Errors; Iterative methods; Least squares approximations; Mean square error; Optimization; Parameter estimation; Parameter extraction; Photovoltaic cells; Coefficient of determination; Differential Evolution; Electromagnetism-like algorithm; Hybrid evolutionary algorithm; Photovoltaic; Photovoltaic modules; Root mean square errors; Single-diode models; Evolutionary algorithms; algorithm; comparative study; electromagnetic method; estimation method; experimental design; numerical method; parameterization; performance assessment; photovoltaic system…”
Article -
6
Parameter estimation of multicomponent transient signals using deconvolution and ARMA modelling techniques
Published 2003“…In this method of analysis the exponential signal is converted to a convolution model whose input is a train of weighted delta function that contains the signal parameters to be determined.The resolution of the estimated decay rates is poor if the conventional fast Fourier transform (FFT) algorithm is used to analyse the resulting deconvolved data. …”
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7
Maximum likelihood estimation with dynamic measurement errors and application to interest rate modeling
Published 2016“…A crucial problem in its application is how the unknown parameters in the model are to be estimated. We propose the innovation algorithm, and follow by the maximum likelihood estimation approach, which enables us to derive the estimators of parameters involved in this model.We will also present the simulation outcomes to illustrate the efficiency and reliability of the proposed method.…”
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8
QUANTIFYING CRITICAL PARAMETER IN DISEASE TRANSMISSION
Published 2015“…For numerical method, R programming algorithms were implemented to estimate the parameter faster and easier. …”
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Final Year Project Report / IMRAD -
9
Fitness-guided particle swarm optimization with adaptive Newton-Raphson for photovoltaic model parameter estimation
Published 2025Subjects:Article -
10
Sensorless Adaptive Fuzzy Logic Control Of Permanent Magnet Synchronous Motor
Published 2008“…The first motor is rated at 50W and the second is rated at 380W. Both experimental and simulation results obtained from the HMRASC and the position angle estimation algorithms showed superior results compared to other methods presented in the literature.…”
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Thesis -
11
Improved performance in distributed estimation by convex combination of DNSAF and DNLMS algorithms
Published 2022“…In diffusion estimation of distributed networks two characteristic parameters are crucial, the speed of convergence and steady-state error. …”
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Proceedings -
12
Reduced-rank technique for joint channel estimation in TD-SCDMA systems.
Published 2013“…This paper presents a novel channel estimation method with low complexity, which relies on reducing the rank order of the total channel matrix H. …”
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Article -
13
Modeling The Modified Internal Rate Of Return (Mirr) For Long-Term Investment Strategy By The Assumption Of Gamma Distribution
Published 2023“…The estimation of the shape and scale parameters of the gamma distribution is relatively straightforward using the method of moments. …”
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Thesis -
14
Reduced rank technique for joint channel estimation and joint data detection in TD-SCDMA systems
Published 2013“…This paper presents a novel channel estimation method with low complexity, which relies on reducing the rank order of the total channel matrix H. …”
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Article -
15
Reduced Rank Technique for Joint Channel Estimation and Joint Data Detection in TD-SCDMA Systems
Published 2012“…This paper presents a novel channel estimation method with low complexity, which relies on reducing the rank order of the total channel matrix H. …”
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16
An analytical approach on parametric estimation of cure fraction based on weibull distribution using interval censored data.
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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17
Large-scale kinetic parameters estimation of metabolic model of escherichia coli
Published 2019“…Estimation of the 7th kinetic parameters by the PSO method provides a good performance of the model in terms of accuracy.…”
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18
Parametric maximum likelihood estimation of cure fraction using interval-censored data
Published 2013“…This paper shows derivation of the estimation equations for the cure rate parameter followed by a simulation study.…”
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Article -
19
Parametric coefficient genetic algorithm for domestic water consumption / Nurul Nadia Hani
Published 2019“…This is accomplished by encoding the chromosome data in GA to incorporate the CMWC values to minimize the residential water consumption estimation error rates and subsequently enabling increased accuracy towards estimating and classifying the amount of residential water consumption. …”
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Thesis -
20
Identifying high influence parameters using Genetic Algorithm (GA) chromosomes for water consumption
Published 2021“…Comparison was made betweenper capita water consumption (PCC) and Domestic Water Consumption via Genetic Algorithm (DWC-GA) error rate’s values. The results are as follows; PCC method’s error rates of 9.49 and DWC-GA error rate is 1.05.…”
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