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Dimensional reduction is a primary way to analyze and work with complex and large amount of multidimensional data by avoiding the effect of curse of dimensionality. This problem of constructing low dimensional embedding gains importance in number of fields like artificial intelligence, image processing, geographical research and lot more. In this paper, we introduce a modified locally linear embedding,...
Wireless sensor nodes are prone to frequent failures due to battery exhaustion and other external events, resulting in coverage and communication holes in the network. It is important to detect such holes and network boundaries. In this paper, we propose a distributed boundary detection algorithm that relies on local connectivity information to identify holes and boundaries of the network. The proposed...
In distributed computing, a task is divided into subtasks and each task is processed by one of the computers available in the network. These computers communicate with each other through message passing. Also, it is necessary to achieve synchronization between these multiple nodes. In order to achieve the same and coordination, there is a need of coordinator node also known as leader node. Now, to...
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