In this paper, we discuss an application of spatial data mining to predict pedestrian flow in extensive road networks using a large biased sample. Existing out-of-the-box techniqu...
Mapping packet processing applications onto embedded network processors (NP) is a challenging task due to the unique constraints of NP systems and the characteristics of network a...
Jia Yu, Jingnan Yao, Jun Yang 0002, Laxmi N. Bhuya...
We represent switching activity in VLSI circuits using a graphical probabilistic model based on Cascaded Bayesian Networks (CBN’s). We develop an elegant method for maintaining ...
—Scheduling techniques are often deployed at the network edge to maximize the quality of the video communication while satisfying a given constraint on the maximum high priority ...
Abstract—Cognitive Radio Networks aim at enhancing spectrum utilization by allowing cognitive devices to opportunistically access vast portions of the spectrum. To reach such amb...