Given a percentage-threshold and readings from a pair of consecutive upstream and downstream sensors, flow anomaly discovery identifies dominant time intervals where the fractio...
James M. Kang, Shashi Shekhar, Christine Wennen, P...
The dynamic and collaborative nature of mobile and sensor networks raises the issue of how connected mobile devices can be trusted. Despite the existing security paradigms such as...
Networked embedded acoustic sensors and imagers allow scientists to observe biological and environmental phenomena at high sampling rates and multiple scales. Such sampling can cr...
Michael Allen, Eric Graham, Shaun Ahmadian, Tetsun...
The current model for multicast transmission of video over the Internet assumes that a fixed average bandwidth is uniformly present throughout the network. Consequently, sources ...
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...