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Advanced online battery states coestimation using Kalman filter for electric vehicle Applications / Prashant Shrivastava
Published 2021“…Thereafter, with the credible SOC estimation by using DFFAEKF, a co-estimation method for SOC and SOE using a quantitative relationship between SOC and SOE is developed. …”
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Semiparametric inference procedure for the accelarated failure time model with interval-censored data
Published 2019“…A computationally simple two-step iterative algorithm, called estimationapproximation algorithm, is introduced for estimating the parameters of the model on the basis of the rank estimators. …”
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Multiple equations model selection algorithm with iterative estimation method
Published 2016“…This estimation method is equivalent to maximum likelihood estimation at convergence. …”
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Time delay estimation using continuous wavelet transform coefficients
Published 2017“…Existing method for delay estimation, such as, using cross correlation algorithm is limited to stationary signals. …”
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LEMABE: a novel framework to Improve analogy-based software cost estimation using learnable evolution model
Published 2021“…To improve software development cost estimation, the current study has investigated the effect of the LEM algorithm on optimization of features weighting and proposed a new method as well. …”
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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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Robust techniques for linear regression with multicollinearity and outliers
Published 2016“…Hence, we propose a new estimation method namely the modified GM-estimator (MGM) based on MGDFF. …”
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Effective source number enumeration approach under small snapshot numbers
Published 2024“…Experimental results show that the SEMD-based method performs significantly better than the traditional signal source number estimation algorithm in these complex environments, especially under a small number of snapshots, the SEMD method can still maintain a high estimation accuracy. …”
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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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Railway wheelset parameter estimation using signals from lateral velocity sensor
Published 2008“…A type of parameter estimation technique based on the linear integral filter (LIF) method, the least-absolute error with variable forgetting factor (LAE+VFF) estimation method, is proposed in this paper to estimate the railway wheelset parameters modelled as a time-varying continuous-time (C-T) system. …”
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A review article on software effort estimation in agile methodology
Published 2021“…The effort estimation in Agile is still a challenge because most existing means are developed based on the conventional method. …”
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A review article on software effort estimation in agile methodology
Published 2021“…The effort estimation in Agile is still a challenge because most existing means are developed based on the conventional method. …”
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Outlier Detections and Robust Estimation Methods for Nonlinear Regression Model Having Autocorrelated and Heteroscedastic Errors
Published 2010“…We proposed a new Robust Two Stage (RTS) estimator in this regard. …”
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A New Proposed Method to Estimate Attenuation Based on Shift Frequency Method
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Kalman filter based impedance parameter estimation for transmission line and distribution line
Published 2019“…Therefore, a detailed study on developing and evaluating the new algorithms for transmission line parameter estimation is considered in this thesis. …”
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Fundamental Frequency Estimation in Power System through the Utilization of Sliding Window-LMS Method
Published 2014“…Fast and accurate frequency estimation in the presence of noise is a challenging task. …”
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A comparison of four different estimation approaches for prognostic survival oral cancer model
Published 2020“…Four types of estimation approaches for prognostic survival oral cancer model building are considered via a SAS algorithm: Efron’s Method, Exact Method, Breslow’s Method, and Discrete Method. …”
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Nonlinear least squares parameter estimation problem using Levenberg-Marquardt method
Published 2017“…Least squares method, which is a statistical method with minimum sum squares of errors (SSE), is used for curve fitting and parameter estimation. …”
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