Search Results - (( model estimation modified algorithm ) OR ( rate estimation based algorithm ))*
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1
Spacecraft sun-pointing using coplanar solar panels data and magnetic field measurements
Published 2013“…Another estimator also has been introduced by combining the two uncoupled sub-estimators into one estimator for attitude, rate, and sun vector estimation. …”
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Proceeding Paper -
2
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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Article -
3
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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Thesis -
4
Field data-based mathematical modeling by Bode equations and vector fitting algorithm for renewable energy applications
Published 2018“…The most powerful features of this method is the ability to model irregular or randomly shaped data and to be applied to any algorithms that estimating models using frequency-domain data to provide state-space or transfer function for the model.…”
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5
Parametric cure fraction models for interval-censoring with a change-point based on a covariate threshold
Published 2015“…Then, this research introduces a modified cure model as an alternative to the MCM and BCH model. …”
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Thesis -
6
Sensorless induction motor speed control for electric vehicles using enhanced hybrid flux estimator with ann-ifoc controller
Published 2022“…All results showed that the proposed method gave excellent agreement, as compared with ANN- and PI-based conventional voltage model estimators, with increased tracking accuracy (1500 rpm: 99.23% and 99.60% to 99.85%; 1000 rpm: 98.90% and 99.45% to 99.85%; and 500 rpm: 97.92% and 99.10% to 99.85%). …”
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7
Application of Evolutionary Algorithm for Assisted History Matching
Published 2014“…From the outcome, engineers are able to estimate the future production rate of the well closely based on parameters like pressure, relative permeability and porosity. …”
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Final Year Project -
8
Integrated attitude determination and control system via magnetic measurements and actuation only
Published 2009“…The full-state knowledge, required for the control loop is provided through a generalized algorithm for spacecraft three-axis attitude and rate estimation based on the utilization of magnetometer measurements and their time derivatives, while the control torque is generated via magnetorquers. …”
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Proceeding Paper -
9
Parametric Study Of Instantaneous Heat Transfer Based on Multidimensional Model in Direct-Injection Hydrogen-Fueled Engine
Published 2013“…It is clear that the developed models are powerful tools for estimating the heat transfer of the hydrogen-fueled engine. …”
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Article -
10
Discrete-event simulation for outpatient flow and emergency patient arrival in a haemodialysis unit
Published 2023“…Discrete-event simulation is used to estimate the outpatients flow based on the mean arrival rate, ». …”
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11
A study of the heat transfer in hydrogen fueled internal combustion engine
Published 2012“…Simplified single-step mechanism was considered for estimating the reaction rate of hydrogen oxidation. …”
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Thesis -
12
Modified multi-verse optimizer for nonlinear system identification of a double pendulum overhead crane
Published 2021“…The experimental findings illustrate that the HMVOSCA algorithm can identify a Hammerstein model that generates an estimated output like the actual DPOC system output. …”
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Conference or Workshop Item -
13
LASSO-type estimations for threshold autoregressive and heteroscedastic time series models.
Published 2020“…Furthermore, our CGD algorithms are also capable of estimating the pure GARCH model, unlike any similar algorithm for the same model in the literature. …”
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UMK Etheses -
14
Modified artificial neural network (ANN) models for Malaysian construction costs indices (MCCI) data / Saadi Ahmad Kamaruddin
Published 2018“…Therefore, the main objective of this research is to modify the backpropagation algorithm of nonlinear autoregressive (NAR) and autoregressive moving average (NARMA) models using Tukey-bisquare estimator and a proposed hybrid firefly algorithm on the least median of squares (FFA-LMedS), in order to manage outlying data efficiently, hence produce more accurate forecasted values. …”
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Book Section -
15
Estimation of the denitrification in the lower Mississippi Valley
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Conference or Workshop Item -
16
System identification using Extended Kalman Filter
Published 2017“…The EKF algorithm performance was compared with Recursive Least Square (RLS) estimation algorithm as a comparison algorithm performance. …”
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Student Project -
17
Development Of Distributed Grid-Based Hydrological Model And Floodplain Inundation Management System
Published 2008“…The simulation algorithms of the rainfall-runoff model have operated on grid bases compatible with the MATLAB programming language, which has been used to write instructions to many grid-based operations. …”
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Thesis -
18
Fuzzy-based multi-agent approach for reliability assessment and improvement of power system protection
Published 2015“…Finally, to improve the evaluation of the reliability, the approaches of using MAS for connection of probability with the reliability fuzzy model is proposed. The probability agent is to determine the capacity in service while a fuzzy model agent is to estimate the operation or failure probability. …”
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Compressed channel estimation for massive MIMO-OFDM systems over doubly selective channels
Published 2019“…For example, at SNR=20 dB for K=4 users, Doppler shift=0.093 with NT=32 antenna size, the adaptive-QBSO algorithm with G-SBEM and the proposed gQBSO with modified-SBEM can realize approximately 75.44%and 85.14% of the NMSE achieved by the oracle estimator with modified-SBEM.…”
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