Abstract. Long Short-Term Memory (LSTM) recurrent neural networks (RNNs) are local in space and time and closely related to a biological model of memory in the prefrontal cortex. N...
Executing parallel applications across distributed networks introduces the problem of fault tolerance. A viable solution for fault tolerance must keep overhead manageable and not c...
Next generation communication systems must support diverse applications operating over high-performance local, metropolitan, and wide area networks. This paper describes a framewo...
Douglas C. Schmidt, Burkhard Stiller, Tatsuya Suda...
In this paper, we propose a decentralized method for maximizing lifetime of data collection wireless sensor networks (WSNs) by making minimal number of nodes operate and putting ot...
Small-form-factor, low-power wireless sensors—motes—are convenient to deploy, but lack the bandwidth to capture and transmit raw high-frequency data, such as human voices or n...
Ben Greenstein, Christopher Mar, Alex Pesterev, Sh...