In this paper, we study the problem of supporting multicast traffic in wireless sensor networks with network coding. On one hand, coding operations can reduce power consumption and...
Body Sensor Networks (BSNs) consist of sensor nodes deployed on the human body for health monitoring. Each sensor node is implemented by interfacing a physiological sensor with a ...
Sidharth Nabar, Ayan Banerjee, Sandeep K. S. Gupta...
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
Yongxin Taylor Xi, Hao Xu, Ray Lee, Peter J. Ramad...
Abstract—Regular expression matching (REM) with nondeterministic finite automata (NFA) can be computationally expensive when a large number of patterns are matched concurrently....
Multicore processors have become ubiquitous in today’s systems, but exploiting the parallelism they offer remains difficult, especially for legacy application and applications ...