In this paper, we propose a novel statistical model order reduction technique, called statistical spectrum model order reduction (SSMOR) method, which considers both intra-die and...
Jeffrey Fan, Ning Mi, Sheldon X.-D. Tan, Yici Cai,...
Spatial and temporal data are critical components in many applications. This is especially true in analytical domains such as national security and criminal investigation. Often, t...
Matthew Perry, Amit P. Sheth, Farshad Hakimpour, P...
Abstract. In contrast to the traditional hypothesis-driven methods, independent component analysis (ICA) is commonly used in functional magnetic resonance imaging (fMRI) studies to...
Data captured from a live cellular network with the real users during their common daily routine help to understand how the users move within the network. Unlike the simulations wi...
Time synchronization is an important aspect of sensor network operation. However, it is well known that synchronization error accumulates over multiple hops. This presents a challe...