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Artificial Bee Colony algorithm in estimating kinetic parameters for yeast fermentation pathway
Published 2023“…Parameter estimation is a challenging task in the biological process due to the complexity and nonlinearity of the model. …”
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An enhanced segment particle swarm optimization algorithm for kinetic parameters estimation of the main metabolic model of Escherichia coli
Published 2020“…In addition, building a kinetic model requires the estimation of the kinetic parameters, but kinetic parameters estimation in kinetic modeling is a difficult task due to the nonlinearity of the model. …”
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Parameter estimation of essential amino acids in Arabidopsis thaliana using hybrid of bees algorithm and harmony search
Published 2019“…In model building, the task of parameter estimation is difficult due to the huge numbers of kinetics parameters involved. …”
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Estimation Of Weibull Parameters Using Simulated Annealing As Applied In Financial Data
Published 2023“…However, the selection of the most suitable estimators is still a challenging task. The present study proposes a simulated annealing algorithm (SA) in estimating the parameters of Weibull distribution with application to modified internal rate of return data (MIRR).The objective is to examine the investment potential of the shari’ah compliance companies of the Malaysia property sector (MPS). …”
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Finite impulse response optimizers for solving optimization problems
Published 2019“…Selecting optimal parameters’ values may improve an algorithm’s performance. …”
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Finite impulse response optimizers for solving optimization problems
Published 2019“…Selecting optimal parameters’ values may improve an algorithm’s performance. …”
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A Hybrid of Particle Swarm Optimization and Harmony Search to Estimate Kinetic Parameters in Arabidopsis thaliana
Published 2020“…The complexity and nonlinearity of a biological system make parameter estimation the most challenging task in modelling. …”
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Voltage and load profiles estimation of distribution network using independent component analysis / Mashitah Mohd Hussain
Published 2014“…Initially, the research focuses on three main tasks. First, voltage profile on source distribution system is estimated. …”
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Multi-Agent cubature Kalman optimizer: A novel metaheuristic algorithm for solving numerical optimization problems
Published 2024“…CTT can use small values for parameters P(0), Q, and R, so CKF was developed to overcome KF and other estimation algorithms. …”
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Restoration of blurred images using geometric and chebichef moments / Ahlad Kumar
Published 2016“…In the third method, Tchebichef moments (TM) of low order are selected as features used as inputs to ELM to estimate the Gaussian blur parameters. Once the blur parameters are estimated, image restoration of the proposed method is carried out using split Bregman algorithm. …”
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Parametric coefficient genetic algorithm for domestic water consumption / Nurul Nadia Hani
Published 2019“…Accurately and effectively estimating and classifying the amount of residential water consumption is a tremendously challenging task as these parameters differ from one another with one household routine may be more influential and vice versa. …”
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12
Individual-tree segmentation and extraction based on LiDAR point cloud data
Published 2024“…In the task of individual tree extraction, the point cloud distance discriminant clustering algorithm outperformed the watershed algorithm. …”
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Evaluating power efficient algorithms for efficiency and carbon emissions in cloud data centers: a review
Published 2015“…CloudSim simulator is used to implement the algorithms on an IaaS cloud infrastructure, to calculate the power consumption, and to analyze each algorithm's behavior for different parameters. …”
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The effect of human learning and forgetting on fuzzy EOQ model with backorders / Nima Kazemi
Published 2017“…When estimating the key cost parameters of an inventory model the experience and learning capabilities of the planners affect efficiency of the inventory system. …”
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15
Particle-based perception of garment folding for robotic manipulation purposes
Published 2023Article -
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Processing time estimation in precision machining industry using AI / Lim Say Li
Published 2017“…An AI approach for processing time estimation by implementing desired input parameters and machining data is tested and completed. …”
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Muscle tone level classification based on upper-limb impedance model
Published 2020“…However the development of adequate estimation algorithm for subjects’ upper-limb impedance parameters and the prediction of muscle tone level in a more objective manner is still a subject of many research works. …”
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Intelligent adaptive active force control of a robotic arm with embedded iterative learning algorithms
Published 2001“…These parameters are adaptively computed on-line while the robot is executing a trajectory tracking task and subject to some forms of external disturbances. …”
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Assessment of predictive models for chlorophyll-a concentration of a tropical lake.
Published 2011“…Dissolved oxygen, selected through stepwise procedure, was used to develop the MLR model. HEA model used parameters selected using genetic algorithm (GA). The selected parameters were pH, Secchi depth, dissolved oxygen and nitrate nitrogen. …”
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