Search Results - (( based constructive method algorithm ) OR ( using rational method algorithm ))
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Multi-base number representation in application to scalar multiplication and pairing computation
Published 2011“…Multi-bases number representation is used to construct new versions of Miller’s algorithm. …”
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Rational Bi-Quartic Spline with Six Parameters for Surface Interpolation with Application in Image Enlargement
Published 2020“…A new rational bi-quartic spline interpolation scheme is constructed in this study. …”
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New Sequential and Parallel Division Free Methods for Determinant of Matrices
Published 2013“…To overcome this problem, division free methods are used instead. The two commonly used division free methods for finding determinant are cross multiplication and cofactor expansion. …”
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Transmission lines modelling based on RLC passive and active filter design
Published 2017“…This research proposes a new method for modelling the transmission line based on a rational approximation function which can be extracted through the Vector Fitting (VF) method, based on the frequency response measured data points. …”
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Smart biosecurity door locking system / Nur Nadia Syahirah ‘Asri
Published 2017“…Biometric technology which can be used to recognize an individual’s identity based on his or her behavioral or physiological characteristics has become one of the most publicized authentication method. …”
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Recursive construction of output-context fuzzy systems for the condition monitoring of electrical hotspots based on infrared thermography
Published 2015“…The proposed RCFS realizes the prominent distinctions in the output domain by using a self-organizing method. The termination of the recursive algorithm finds an effective rule base to achieve an accurate representation of the datasets. …”
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A modified strength capacity for composite slab using reliability approach
Published 2016“…Similarly, a procedural algorithm lead to the development of pro_led composite slab strength determination function for both longitudinal shear estimation methods by considering section slenderness and deck characteristics. …”
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Curve fitting by rational cubic Bézier with C1 and G1 continuity using metaheuristics methods
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Data fitting by G1 rational cubic Be´zier curves using harmony search
Published 2015“…A metaheuristic algorithm, called Harmony Search (HS) is implemented for data fitting by rational cubic Be´ zier curves. …”
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Data Fitting by G1 Rational Cubic Bézier Curves Using Harmony Search
Published 2015“…A metaheuristic algorithm, called Harmony Search (HS) is implemented for data fitting by rational cubic Bézier curves. …”
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Representation Of Rational Bézier Quadratics Using Genetic Algorithm, Differential Evolution And Particle Swarm Optimization
Published 2013“…These techniques have been used to optimize control points and weights in the description of spline functions used. …”
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Designing of skull defect implants using C1 rational cubic Bezier and offset curves
Published 2015“…In this study, data approximation by a rational cubic Bézier function uses HS to optimize position of middle points and value of the weights. …”
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Rational methods for solving first order ordinary differential equation
Published 2019“…In this study, two classes of rational methods of second to fourth order of accuracy are proposed. …”
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Rational quadratic Bézier curve fitting by simulated annealing technique
Published 2013“…A metaheuristic algorithm, which is an approximation method called simulated annealing is implemented in order to have the best rational quadratic Bézier curve from a given data points. …”
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An evolutionary based features construction methods for data summarization approach
Published 2015“…In this work, we empirically compare the predictive accuracies of classification tasks based on the proposed feature construction methods and also the existing feature construction methods. …”
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Ant system-based feature set partitioning algorithm for classifier ensemble construction
Published 2016“…In this study, Ant system-based feature set partitioning algorithm for classifier ensemble construction is proposed.The Ant System Algorithm is used to form an optimal feature set partition of the original training set which represents the number of classifiers.Experiments were carried out to construct several homogeneous classifier ensembles using nearest mean classifier, naive Bayes classifier, k-nearest neighbor and linear discriminant analysis as base classifier and majority voting technique as combiner. …”
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