Recent studies show that state-space dynamics of randomly initialized recurrent neural network (RNN) has interesting and potentially useful properties even without training. More p...
Advances in sensing and communication technology make sensor networks a convenient and cost effective tool for collecting data in hard to reach and hazardous areas Increasingly, s...
We provide a design of a control and management plane for data networks using the abstraction of 4D architecture, utilizing and extending 4D’s concept of a logically centralized...
—We discuss some security weaknesses of Scalance wireless access points and clients. These devices, developed by Siemens, are commonly used for wireless communication in network ...
— We propose a modeling framework based on the event-driven paradigm for populations of neurons which interchange messages. Unlike other strategies our approach is focused on the...