Search Results - (( parallel optimization sensor algorithm ) OR ( model validation method algorithm ))*
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Simulated kalman filter (SKF) based image template matching for distance measurement by using stereo vision system
Published 2018“…Stereo vision sensor consists of two stereo cameras, mounted parallel in stationary position. …”
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Single-objective and multi-objective optimization algorithms based on sperm fertilization procedure / Hisham Ahmad Theeb Shehadeh
Published 2018“…The obtained results are compared with the results of four algorithms. These algorithms are Genetic Algorithms (GA), Parallel Genetic Algorithm (PGA), Particle Swarm Optimization (PSO) and Accelerated Particle Swarm Optimization (APSO). …”
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Performance monitoring algorithm for optimizing electrical power generated by using photovoltaic system
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Analysis of Toothbrush Rig Parameter Estimation Using Different Model Orders in Real Coded Genetic Algorithm (RCGA)
Published 2024“…The validation test-through correlation analysis was used to validate the model. …”
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Analysis of toothbrush rig parameter estimation using different model orders in Real-Coded Genetic Algorithm (RCGA)
Published 2018“…The validation test-through correlation analysis was used to validate the model. …”
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Optimisation of Environmental Risk Assessment Architecture using Artificial Intelligence Techniques
Published 2024“…Two methods were used to validate the proposed architecture, that is, the analytical method was used to validate the neuro-fuzzy risk assessment model and the safe path selection model, whereas the experimental method was used to evaluate the prototype. …”
thesis::doctoral thesis -
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Dynamic modelling of a flexible beam structure using feedforward neural networks for active vibration control
Published 2019“…Correlation tests were used to validate the obtained model. Based on the proposed method, a small mean squared error value has been achieved in the validation phase. …”
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Taguchi?s T-method with Normalization-Based Binary Bat Algorithm
Published 2025“…Taguchi?s T-method (T-method) is a predictive modeling technique developed by Dr. …”
Conference paper -
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Modeling, Testing and Experimental Validation of Laser Machining Micro Quality Response by Artificial Neural Network
Published 2009“…The model was then fed with new sets of machining parameters to experimentally validate the model’s ability in predicting the cut quality. …”
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Estimation of core size distribution of magnetic nanoparticles using high-Tc SQUID magnetometer and particle swarm optimizer-based inversion technique
Published 2023“…In this work, the core size estimation technique of magnetic nanoparticles (MNPs) using the static magnetization curve obtained from a high-Tc SQUID magnetometer and a metaheuristic inversion technique based on the Particle Swarm Optimizer (PSO) algorithm is presented. The high-Tc SQUID magnetometer is constructed from a high-Tc SQUID sensor coupled by a flux transformer to sense the modulated magnetization signal from a sample. …”
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An experimental validation and optimisation tool path strategy for thin walled structure
Published 2011“…The target was to develop models which mimic the actual cutting process using the finite element method (FEM), to validate the developed tool path strategy algorithm with the actual machining process and to programme the developed algorithm into the software. …”
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Characterization of PV panel and global optimization of its model parameters using genetic algorithm
Published 2023“…The effectiveness of the model developed by this approach to predict the performance of the PV system under partial shading conditions was also validated. � 2013 Elsevier Ltd. …”
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Parameter extraction of photovoltaic module using hybrid evolutionary algorithm
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Effects of user selected conditions on modeling of dynamic systems using adaptive fuzzy model
Published 2001“…The correlation based model validity tests are used to validate the identified fuzzy model.…”
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Sketch-based 3D modeling of symmetric objects from wireframe sketches on paper
Published 2016“…The algorithm is validated by conducting manual ground truth and the results were compared with the closest and well-known methods. …”
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An Analytical Algorithm for Delphi Method for Consensus Building and Organizational Productivity
Published 2017“…Structural Equation Modeling (SEM) is a statistical-based multivariate modeling methods, Application of SEM is similar but more powerful than regression analysis; and number of scientists using SEM in their research is rupidly inereasing. …”
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Book Chapter -
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Modeling of cardiovascular diseases (CVDs) and development of predictive heart risk score
Published 2021“…The warppartial least square method was utilized to estimate the multi-layer hypothesized path model. …”
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