Search Results - (( processes information method algorithm ) OR ( parameter estimation method algorithm ))
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1
The development of parameter estimation method for Chinese hamster ovary model using black widow optimization algorithm
Published 2020“…Metaheuristic parameter estimation is an algorithm framework that is processed using some technique to generate a pattern or graph. …”
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2
Augmented model based double iterative loop techniques for integrated system optimisation and parameter estimation of large scale industrial processes
Published 1993“…Two novel hierarchical structures are presented which extend the applicability of previous model based double iterative loop techniques to non-convex problems. The methods incorporate integrated system optimisation and parameter estimation which utilizes process measurements to achieve real process optimality inspite of model reality differences. …”
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3
Parameter estimation in computational systems biology models: a comparative study of initialization methods in global optimization
Published 2022“…This paper compares different initialization methods and investigates their performance and effects on estimating kinetic parameters’ value in models of biological systems. …”
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4
Power System State Estimation In Large-Scale Networks
Published 2010“…Its optimal performance is required in order to operate the power system in a safe, secure and economic manner. State estimators (SE) process the available measurements by taking into account the information about the network model and parameters. …”
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5
Parameter-driven count time series models / Nawwal Ahmad Bukhari
Published 2018“…Simulation shows that MCEM algorithm and particle method are useful for the parameter estimation of the Poisson model. …”
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6
Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence
Published 2011“…In order to develop the proposed methods, the baseline techniques are studied to develop the proposed algorithms. …”
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Book Chapter -
7
Extreme air pollutant data analysis using classical and Bayesian approaches
Published 2015“…This research implemented the MTM method as an alternative for modeling of univariate and bivariate extremes with non-informative priors. …”
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8
Direct Adaptive Predictive Control For Wastewater Treatment Plant
Published 2012“…The performances of both estimation and control algorithms are illustrated by simulation results. …”
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Conference or Workshop Item -
9
A decomposed streamflow non-gradientbased artificial intelligence forecasting algorithm with factoring in aleatoric and epistemic variables / Wei Yaxing
Published 2024“…Firefly algorithm outperformed the other metaheuristic algorithms used to solve this proposed hybrid artificial intelligence model regarding parameter sensitivity. …”
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10
The computation of confidence intervals for the state parameters of power systems
Published 2016“…The research indicates that confidence intervals can yield addition useful information about the estimated parameters. Methods: The feasible interval estimates for the system state parameters have been modelled in this study by considering the random uncertainty in the processing measurements. …”
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11
The computation of confidence intervals for the state parameters of power systems
Published 2016“…The research indicates that confidence intervals can yield addition useful information about the estimated parameters. Methods: The feasible interval estimates for the system state parameters have been modelled in this study by considering the random uncertainty in the processing measurements. …”
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12
Fraud detection in telecommunication using pattern recognition method / Mohd Izhan Mohd Yusoff
Published 2014“…Due to the complexity of GMM, we use Expectation Maximization (or EM) algorithm by Dempster et al. (1977) to obtain the maximum likelihood estimates of the GMM parameters. …”
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13
Data filtering of 5-axis inertial measurement unit using kalman filter
Published 2013“…This project endeavour to verify that the data from 5DOF IMU can be filtered using Kalman Filter method so that it can be used as an algorithm in motion alignment. …”
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Undergraduates Project Papers -
14
Towards a unified image quality assessment technique for cross-content image processing applications
Published 2024“…Most state-of-the-art (SOTA) image reconstruction methods areapplication-specific (AS), requiring extra information like tuning parameters to correct distortions. …”
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15
Statistical modelling of time series of counts for a new class of mixture distributions / Khoo Wooi Chen
Published 2016“…Parameter estimation with the maximum likelihood estimation via the Expectation-Maximization algorithm is discussed and compared with the conditional least squares method. …”
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16
Chlorophyll-A Estimation from Remotely Sensed Data
Published 2000“…The objective of the study was to calculate the chlorophyll-a concentration along Kuala Terengganu. The method was carried out to calculate the chlorophyll-a concentration in the study area that is, digital image processing which include preprocessing, display, enhancement, information extraction, and algorithm to calculate the estimated chlorophyll-a. …”
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17
Transient multiexponential data analysis using a combination of ARMA and ECD methods
Published 2012“…The deconvolved data is then truncated and further processed using autoregressive moving average (ARMA) model whose AR parameters are determined by using high-order Yule-Walker equations via the singular value decomposition (SVD) algorithm. …”
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Establishment of spectral subtraction-based algorithm for experimental modal analysis under operating condition
Published 2022“…It was suggested this method be applied prior to FRF calculation to enhance the EMA procedure under ambient operating forces.…”
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19
A Novel Hybrid Deep Learning Model Based on Simulated Annealing and Cuckoo Search Algorithms for Automatic Radiomics-Based COVID-19 Diagnosis
Published 2025“…To further enhance COVID-19 lesion estimation, novel optimization strategies, including a hybrid simulated annealing-cuckoo search (SA-CS) algorithm, are introduced alongside the original SA method. …”
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Derivation of radiative transfer parameters using image-based technique / Wan Noniafida Ab Manan
Published 2014“…To prove this, it will require the information from aerosol optical parameters. Therefore, in determining the appropriate atmospheric model for different urban types; the atmospheric parameters (visibility and aerosol loading) need to be estimated. …”
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Thesis