Search Results - (( data extraction using algorithm ) OR ( parameter simulation based algorithm ))
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1
Estimation Of Weibull Parameters Using Simulated Annealing As Applied In Financial Data
Published 2023“…The MIRR were computed based on the data extracted from the companies’ financial reports from 2010 to 2018. …”
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Thesis -
2
Parameter extraction of solar photovoltaic modules using penalty-based differential evolution
Published 2012“…The two diode model of a solar cell is used as the basis for the extraction problem. The analyses carried out using synthetic current-voltage (I-V) data set showed that the proposed P-DE outperforms other Evolutionary Algorithm methods, namely the simulated annealing (SA), genetic algorithm (GA), and particle swarm optimization (PSO). …”
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3
Removal of BCG artefact from concurrent fMRI-EEG recordings based on EMD and PCA
Published 2017“…The algorithm does not require extra electrocardiogram (ECG) or electrooculogram (EOG) recordings to extract the BCG artefact. …”
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4
Hierarchical multi-agent system in traffic network signalization with improved genetic algorithm
Published 2019“…A dynamic modeling technique is proposed using Q-learning (QL) algorithm to online observe and learn the inflow-outflow traffic behaviors and extract the model parameters to update the evaluation model used in the fitness function of genetic algorithm (GA). …”
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Proceedings -
5
Taguchi's method for optimized neural network based autoreclosure in extra high voltage lines
Published 2008“…The algorithms are developed using MATLABTM software. A range of faults are simulated using SimPowerSytemsTM and the spectra of the fault data are analyzed using Fast Fourier Transform which facilitates extraction of distinct features of each fault type. …”
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6
Routine insulin sliding scale protocol versus software driven algorithm (star protocol) for blood glucose management of critically ill patients in the ICU: A prospective observatio...
Published 2018“…The data collected was subsequently simulated with the software driven algorithm (STAR protocol) and results were analysed to determine if it was better at maintaining blood glucose levels within set targets of 6-10 mmol/L. …”
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7
Vision-Based Autonomous Vehicle Driving Control System
Published 2005“…However, this study only focuses on driving control system that based on vision sensor. Therefore, this study presents a simulation system with Graphical User Interface (GUI) to simulate and analyse the driving control for autonomous vehicle that based on video taken fiom the vehicle during driving on highway, by using MATLAB programming. …”
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8
Vision-based autonomous vehicle driving control system
Published 2005“…However, this study only focuses on driving control system that based on vision sensor. Therefore, this study presents a simulation system with Graphical User Interface (GUI) to simulate and analyse the driving control for autonomous vehicle that based on video taken from the vehicle during driving on highway, by using MATLAB programming. …”
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9
Classification of transient disturbance using Wavelet based support vector machine / Fahteem Hamamy Anuwar
Published 2012“…Cross validation is used to find the best parameters related to kernels used followed by training and testing of the data sets. …”
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10
Estimating Missing Precipitation to Optimize Parameters for Prediction of Daily Water Level Using Artificial Neural Network
Published 2006“…Typical networks were trained and tested using daily data obtained from the Drainage and Irrigation Department (DID) Kota Samarahan.Various training parameters were considered in order to gain the best prediction possible. …”
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Final Year Project Report / IMRAD -
11
Development of an islanding detection scheme based on combination of slantlet transform and ridgelet probabilistic neural network in distributed generation
Published 2019“…Furthermore, to evaluate the efficiency of the proposed modified differential evolution for the training of ridgelet probabilistic neural network, four statistical search techniques, namely, particle swarm optimization, genetic algorithm, simulated angling, and classical differential evolution are used and their results are compared. …”
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12
Modelling of Liquid-liquid Equilibrium Behaviour of Aqueous Two-Phase Polymer Mixture System for Protein Extraction
Published 2007“…We briefly discuss some issues involved in solving for the LLE compositions and present methods and steps taken to achieve robust, accurate and reliable simulations. We solve the minimization problem using the modified Shor's R-algorithm for non-smooth optimization [3,4]. …”
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13
A Film-Pore-Surface Concentration Dependent Model For Adsorption Of Dye Onto Activated Carbon
Published 2005“…Both The FPCDSD And The FCDSD Model Were Able To Fit The Experimental Data Using A Single Set Of Mass Transfer Parameters. …”
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14
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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15
AQUEOUS TWO-PHASE POLYMER MIXTURE SYSTEM AS PROTEIN XTRACTION TECHNIQUE. MODELLING OF PROTEIN PARTITIONING BEHAVIOR
Published 2007“…The minimization problem is solved using the modified Shor's R-algorithm for non-smooth optimization. …”
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16
A comparative study on sand transport modeling for horizontal multiphase pipeline
Published 2014“…There is no explicit calculation algorithm for sand transportation modeling readily available in flow simulators. …”
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Effects of Authentication of Users in Mobile Internet Protocol Version 6
Published 2004“…The results are stored in trace files. Tracegraph201 is used to generate plots, from which data is extracted and then plotted again using Excel for comparison purposes. …”
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19
Design of profile controller for biochemical reactor
Published 2010“…The process model is derived indicating the relationship between temperature, pH and dissolve oxygen. Using the fundamental model obtained data sets; an inverse neural network has been trained by using the back-propagation learning algorithm. …”
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20
Mechanical and grain growth behaviour of wire-arc additive manufacturing (WAAM) of SS316L using experiment and numerical simulation / Muhd Faiz Mat @ Muhammad
Published 2022“…The third phase of the research is the analysis of SS316L material grain size microstructure and the grain growth material parameters at elevated temperature. A grain size prediction algorithm was developed specifically for SS316L material based on free grain growth formula. …”
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