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Because of nodes mobility, one of important and fundamental issues in mobile sensor networks is how to cluster the nodes in network. The clustering is a method for best managing nodes energies, data collecting and sending information to base station and increasing network lifetime. In a wireless mobile network, the created clusters change continually and the nodes move from one cluster to another,...
Ensemble methods have proved to be an effective tool to increase the performance of pattern recognition applications. An ensemble method behaves like an expert committee in predicting the class to which a sample belongs. In this paper, we present a novel ensemble method with high classification accuracy and resistance to noisy data. In our proposed method, we exploit a type of bagging in which the...
Currently, there is an increasing interest for setting up medical systems that can screen a large number of people for sight threatening diseases, such as diabetic retinopathy. This paper presents a method for automated identification of exudate pathologies in retinopathy images based on computational intelligence techniques. The color retinal images are segmented using fuzzy c-means clustering following...
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