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This work introduces a new methodology for the early detection of epileptic seizure based on the WiSARD weightless neural network model and a new approach in terms of preprocessing the electroencephalogram (EEG) data. WiSARD has, among other advantages, the capacity of perform the training phase in a very fast way. This speed in training is due to the fact that WiSARD's neurons work like Random Access...
The Dataflow execution model has been shown to be a good way of exploiting TLP, making parallel programming easier. In this model, tasks must be mapped to processing elements (PEs) considering the trade-off between communication and parallelism. Previous work on scheduling dependency graphs have mostly focused on directed a cyclic graphs, which are not suitable for dataflow (loops in the code become...
We study the problem of disseminating a piece of information through all the nodes of a network, given that it is known originally only to a single node. In the absence of any structural knowledge on the network, other than the nodes' neighborhoods, this problem is traditionally solved by flooding all the network's edges. We analyze a recently introduced probabilistic algorithm for flooding and give...
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