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A two-level dual decomposition algorithm is proposed to tackle the problem in section 3. Section 4 illustrates the effectiveness of the algorithms by numerical simulations.
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A strategy based on dynamic state estimation method, that employs particle filtering algorithms, is proposed to tackle the identification problem.
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In this paper, a rapid learning algorithm is proposed to tackle this weakness of AdaBoost for vehicle classification.
A hybrid algorithm named as the Extended Particle Swarm Optimization and Genetic Algorithm (EPSO GA) is proposed to tackle the model formulation.
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