Search Results - (( java application stemming algorithm ) OR ( parametric selection based algorithm ))
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Effect of input variables selection on energy demand prediction based on intelligent hybrid neural networks
Published 2015“…The non-parametric or intelligent methods which are based on artificial intelligence are gaining a lot of attention during the recent past years. …”
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OPTIMIZATION OF A CRUDE DISTILLATION UNIT USING PARAMETRIC DESIGN OF TAGUCHI AND RESPONSE SURFACE METHODS
Published 2014“…The proposed procedure is based on the parametric design of the Taguchi and response surface methods. …”
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Analysis of the ECG signal using SVD-based parametric modelling technique
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A Multidimensional Search Space Using Interactive Genetic Algorithm
Published 2010“…For experiment, we have selected Parametric L-System, in which both symbols and numerical parameters are evolved using Genetic Algorithm (GA). …”
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A multi-objective parametric algorithm for sensor-based navigation in uncharted terrains
Published 2023“…Sensor-based motion planning is one the most challenging tasks in robotics where various approaches and algorithms have been proposed to achieve different planning goals. …”
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Parametric Optimization of End Milling Process Under Minimum Quantity Lubrication With Nanofluid as Cutting Medium Using Pareto Optimality Approach
Published 2016“…In this paper a genetic algorithm based multi-objective optimization approach is applied in order to predict the optimal machining parameters for the end milling process of aluminium alloy 6061 T6 combined with minimum quantity lubrication (MQL) conditions using waterbased TiO2 nanofluid as cutting fluid. …”
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Validation on an enhanced dendrite cell algorithm using statistical analysis
Published 2017“…In this study, we evaluated the performance of the enhanced algorithm called dendrite cell algorithm using sensitivity, specificity, false positive rate, and accuracy and validated the result using parametric and non parametric statistical significant tests. …”
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Real-time interpolator of CNC parametric curves with chord-error and feed-rateconstraints
Published 2025“…Acknowledging that the core in computer numerical control (CNC) machining is the interpolator of the controller, the work presents a real-time interpolator of a class of non-uniform rational basis splines, NURBS curve,which is inherently parametric. Teardrop 2-dimensional NURBS curve was selected based on varying features, shapes and dimensions. …”
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Improvement of land cover mapping using Sentinel 2 and Landsat 8 imageries via non-parametric classification
Published 2020“…In Land Cover Mapping (LCM) studies, non-parametric classifiers are more accurate than parametric classifiers. …”
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A block-based multi-scale background extraction algorithm
Published 2010“…In addition, an amended multi-scale algorithm is introduced. This algorithm is a hybrid algorithm, a combination of some nonparametric and parametric filters. …”
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Parameter identification of thermoelectric modules using enhanced slime mould algorithm (ESMA)
Published 2024“…This paper sets pioneering research which investigates the parametric identification of thermoelectric modules (TEMs) through the employment of enhanced slime mould algorithm (ESMA). …”
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Parameter estimation of stochastic differential equation
Published 2012“…To overcome the subjective and tedious process of selecting the optimal knot and order of spline, an algorithm was proposed. …”
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Improving the performance of damage repair in thin-walled structures with analytical data and machine learning algorithms
Published 2024“…From the analytical model, the stress intensity factors (SIF) were calculated by varying all possible parameters of the model. Next, ML algorithms were selected, and comparative studies were conducted for the best possible performance and to identify the parametric effects on optimum SIF. …”
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A New Algorithm With Different Modulation Index (Mi) In Cascaded H-Bridge Multilevel Inverters (CHB MLIS)
Published 2019“…In order to validate the effectiveness of the proposed algorithm a simulation model has been built up. The parametric model of the simulation to be a benchmark to build up a prototype. …”
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Optimization of an extended H-infinity controller for unmanned helicopter control using multiobjective differential evolution (MODE)
Published 2015“…Then apply the MODE-based algorithm to optimize the weighting function of the control problem formulation for optimal performance. …”
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Power prediction using the wind turbine power curve and data-driven approaches / Ehsan Taslimi Renani
Published 2018“…To evaluate the performance of the Weibull parameters’ estimator methods, two sets of data are considered, one based on simulated data with different random variable size and the other based on actual data collected from a wind farm in Iran. …”
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