This paper examines the dramatic visual fingerprints left by a wide variety of popular network attack tools in order to better understand the specific methodologies used by attack...
Target detection and field surveillance are among the most prominent applications of Sensor Networks (SN). The quality of detection achieved by a SN can be quantified by evaluat...
During a project examining the use of machine learning techniques for oil spill detection, we have encountered several essential questions that we believe deserve the attention of ...
Channel estimation and multiuser detection are enabling technologies for future generations of wireless applications. However, sophisticated algorithms are required for accurate c...
Yan Meng, Andrew P. Brown, Ronald A. Iltis, Timoth...
The increase in the use of parallel distributed architectures in order to solve large-scale scientific problems has generated the need for performance prediction for both determi...