Search Results - (( model evaluation tool algorithm ) OR ( (parameter OR parameters) information system algorithm ))
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Data-driven fractional-order PID controller tuning for liquid slosh suppression using marine predators algorithm
Published 2023“…The proposed data-driven tuning tool demonstrates superior performance compared to other recent metaheuristic optimization algorithms across the majority of evaluation criteria.…”
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Model-free controller design based on simultaneous perturbation stochastic approximation
Published 2015“…Here, a simultaneous perturbation stochastic approximation (SPSA) algorithm is suggested as a promising tool for the model-free control approach. …”
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Thesis -
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UAV-based PM₂.₅ monitoring system for small scale urban areas
Published 2018“…The research aims to introduce a PM2.5 prediction algorithm based on PM2.5 measurements from a developed a system capable of measuring PM2.5 concentrations in small-scale areas and validate the model at specified low altitudes. …”
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Power prediction using the wind turbine power curve and data-driven approaches / Ehsan Taslimi Renani
Published 2018“…To obtain the unknown vector of parameters of the MHTan, three heuristic optimization algorithms are employed to minimize the sum of squared residuals. …”
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Stereo Camera-Based Aerial Target Geolocation in a Ground-Based Platform Environment
Published 2024thesis::master thesis -
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Risk assessment of dengue in Betong Sarawak using simple mathematical model
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The development of virtual product life cycle design tool using artificial intelligence technique
Published 2008“…The generated features from code classification algorithm give the information of machining parameter through the mapping algorithm. …”
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Optimal parameter estimation of MISO system based on fuzzy numbers / Razidah Ismail ... [et al.]
Published 2006“…As an illustration, this algorithm is applied to a system with three input parameters.…”
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Dynamic investment model for the restructed power market in the presence of wind source
Published 2014“…The proposed framework has been implemented in the hypothetical restructured power market using the IEEE Reliability Test System. Well-established renewable energy-based power generation in the countries like Spain and Germany for instance,can provide strong and useful information for this study. …”
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Characterization of PV panel and global optimization of its model parameters using genetic algorithm
Published 2023“…This paper details an improved modeling technique for a photovoltaic (PV) module; utilizing the optimization ability of a genetic algorithm, with different parameters of the PV module being computed via this approach. …”
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Orthogonal least square algorithm and its application for modelling suspension system
Published 2001“…Modelling based on input and output data is known as system identification. One of the issues in system identification is the parameter estimation and model structure selection where various methods have been studied including the orthogonal least square algorithm. …”
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Application of Particle Swarm Optimization in Optimizing Stereo Matching Algorithm’s Parameters for Star Fruit Inspection System
Published 2014“…This paper reports the finding of the experimentation of the Particle Swarm Optimization in optimizing the stereo matching algorithm’s parameters for the star fruit inspection system. …”
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Conference or Workshop Item -
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Artificial Neural Network: The Alternative Method to Obtain the Dimension of Ankle Bone Parameters
Published 2017“…Current ankle morphometric measurement tools involve the use of radiographic techniques which maybe rmacceptable to many ethical committees due to the radiation exposure to subjects. …”
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Characterization of PV panel and global optimization of its model parameters using genetic algorithm
Published 2013“…This paper details an improved modeling technique for a photovoltaic (PV) module; utilizing the optimization ability of a genetic algorithm, with different parameters of the PV module being computed via this approach. …”
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Parameter Magnitude-Based Information Criterion For Optimum Model Structure Selection In System Identification
Published 2020“…Model structure selection is among one of the steps in system identification and in order to carry out this, information criterion is developed. …”
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