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In this paper, we develop and evaluate a hybrid classification method based on a combination of Artificial Immune Systems and Genetic Algorithms. Specifically, the new algorithm, called Genetic-AIRS, is a combination of the Artificial Immune Resource System (AIRS) algorithm with well-known evolutionary computation techniques. As a result, Genetic-AIRS is executed globally, in contrast with AIRS which...
Feature detection and tracking is an important problem in Computer Vision. Corners in an image are a good indication of features to track. Original algorithms may be expensive even on multicore architectures because they require full convolutions to be performed. Although these can be performed in real time in modern GPUs and multicore CPUs, faster solutions are needed for embedded systems and complex...
Energy detectors are preferred choice for spectrum sensing in cognitive radio networks due to their low implementation complexity. Recently, there is a lot of work being done to analyze the energy detectors in both diversity and cooperative relay networks. In this work, detection performance of energy detector is analyzed in a fixed-gain cooperative relay network with maximum-ratio combiner (MRC)...
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