Compressed Imaging is the theory that studies the problem of image recovery from an under-determined system of linear measurements. One of the most popular methods in this field i...
Serge L. Shishkin, Hongcheng Wang, Gregory S. Hage...
Virtualization has the potential to dramatically reduce the total cost of ownership of datacenters and increase the flexibility of deployments for general-purpose workloads. If pr...
Vijayaraghavan Soundararajan, Jennifer M. Anderson
In this paper, a new hybrid adaptation model for cancer diagnosis has been developed. It combines transformational and hierarchical adaptation techniques with artificial neural ne...
Parallel discrete event simulation is a useful technique to improve performance of sequential discrete event simulation. We consider the Time Warp algorithm for asynchronous distr...
In large-scale environments, network intrusion detection systems (NIDSs) face extreme challenges with respect to traffic volume, traffic diversity, and resource management. Whil...
Holger Dreger, Anja Feldmann, Vern Paxson, Robin S...