While early research on real-time computing was concerned with guaranteeing avoidance of undesirable effects such as overload and deadline misses, adaptive real-time systems are d...
Chenyang Lu, John A. Stankovic, Tarek F. Abdelzahe...
We propose a Markov process model for spike-frequency adapting neural ensembles which synthesizes existing mean-adaptation approaches, population density methods, and inhomogeneou...
Eilif Mueller, Lars Buesing, Johannes Schemmel, Ka...
— Classic adaptive control methods for handling varying loads rely on an analytically derived model of the robot’s dynamics. However, in many situations, it is not feasible or ...
— Adaptive modulation and antenna diversity are two important enabling techniques for future wireless network to meet demand for high data rate transmission. We study a Markov de...
In this paper, we present a framework which allows adapted content delivery for different target contexts. This framework is based on a Universal Profiling Schema UPS for describi...