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Multi-label classification is a generalization of single-label classification, and its samples belong to multiple labels. The K-nearest neighbor algorithm can solve this problem as an optimization problem. It finds the optimum solution by caculating the distance between each sample in general. But in fact, the distance of K-nearest neighbor algorithm may be miscalculated due to the caused by the redundant...
Node localization problem is crucial to many applications in wireless sensor networks (WSNs).A lot of researches have been done in finding range-based and range -free methods for localization in WSNs. Range-based methods estimate location more precisely than range-free methods. However, range-free methods are cost-effective and simpler to implement for resource constrained sensor nodes. In this paper,...
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