Abstract— Standard embeded sensor nework models emphasize energy efficiency and distributed decision-making by considering untethered and unattended sensors. To this we add two ...
Rajgopal Kannan, Sudipta Sarangi, S. Sitharama Iye...
Recently, several studies have analyzed the statistical properties of low power wireless links in real environments, clearly demonstrating the differences between experimentally o...
Alberto Cerpa, Jennifer L. Wong, Miodrag Potkonjak...
Abstract. We discuss causal structure learning based on linear structural equation models. Conventional learning methods most often assume Gaussianity and create many indistinguish...
Many real-time embedded systems involve a collection of independently executing event-driven code blocks, having hard real-time constraints. Tasks in many such systems, like netwo...
Samarjit Chakraborty, Thomas Erlebach, Simon K&uum...
Segmentation of tree-like structure within medical imaging modalities, such as x-ray, MRI, ultrasound, etc., is an important step for analyzing branching patterns involved in many...