Training convolutional neural networks (CNNs) on large sets of high-resolution images is too computationally intense to be performed on commodity CPUs. Such architectures however ...
The difficulty of scaling Online Social Networks (OSNs) has introduced new system design challenges that has often caused costly re-architecting for services like Twitter and Face...
Josep M. Pujol, Vijay Erramilli, Georgos Siganos, ...
Abstract. In this paper, we present an architecture to emulate multihop wireless networks on StarBED, a wired-network testbed at Hokuriku Research Center of NICT, Japan. The archit...
A class of recurrent neural networks is proposed and proven to be capable of identifying any discrete-time dynamical system. The application of the proposed network is addressed in...