Search Results - (( using rational method algorithm ) OR ( basic optimization sensor algorithm ))
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On Clustering Algorithm Of Coverage Area Problems In Wireless Sensor Networks
Published 2024“…For the proliferation of wireless sensor network, in different environments, an escalation in the lifetime of wireless sensors is mandatory, because among the basic issues concerning WSN is a successful effort to document the coverage of the number of target fields, while maximizing the lifetime of this network. …”
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Development an accurate and stable range-free localization scheme for anisotropic wireless sensor networks
Published 2022“…This study developed an optimized variation of the DV-Hop localization algorithm for anisotropic wireless sensor networks. …”
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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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Rational Bi-Quartic Spline with Six Parameters for Surface Interpolation with Application in Image Enlargement
Published 2020“…This rational bi-quartic spline has six free parameters that can be used to refine the final interpolating surface. …”
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Efficient transmission based on genetic evolutionary algorithm
Published 2022“…In this paper, an energy-saving mechanism based on genetic algorithm in wireless sensor network (WSN) is proposed. …”
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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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Even-odd scheduling based energy efficient routing for wireless sensor network (WSN) / Muhammad Zafar Iqbal Khan
Published 2022“…Wireless Sensor Network (WSN) is basically composed of battery powered devices which have an obvious limitation of energy on sensors nodes, so it is the foremost motivation to develop a method to save energy of wireless sensor networks where networks are kept alive for a long time. …”
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A Survey Of Supervised Machine Learning In Wireless Sensor Network: A Power Management Perspective
Published 2013“…This survey paper is focused on the discussion of best optimal path routing algorithms in wireless sensor networks by using supervised machine learning approaches. …”
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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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Modeling and control of a Pico-satellite attitude using Fuzzy Logic Controller
Published 2010“…The performances obtained show that the optimized APFLC is better than the non-optimize APFLC in terms of RMSE and the settling time.…”
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A hybrid prediction model for pipeline corrosion using Artificial Neural Network with Particle Swarm Optimization
Published 2018“…This project aims to develop a hybrid prediction Model which can target specific corrosion damage mechanisms. The basic ANN Model will be improved by integrating the Particle Swarm Optimization (PSO) algorithm to achieve a better and optimal performance. …”
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A hybrid prediction model for pipeline corrosion using Artificial Neural Network with Particle Swarm Optimization
Published 2018“…This project aims to develop a hybrid prediction Model which can target specific corrosion damage mechanisms. The basic ANN Model will be improved by integrating the Particle Swarm Optimization (PSO) algorithm to achieve a better and optimal performance. …”
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A review of navigation systems (integration and algorithms)
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