Random data placement has recently emerged as an alternative to traditional data striping. From a performance perspective, it has been demonstrated to be an efficient and scalable...
Much work in AI deals with the selection of proper actions in a given (known or unknown) environment. However, the way to select a proper action when facing other agents is quite ...
This paper presents a biologically-inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic applications of the mo...
Chris Christodoulou, Guido Bugmann, Trevor G. Clar...
—In this paper, we investigate the maximization of the coverage time for a clustered wireless sensor network (WSN) by optimal balancing of power consumption among cluster heads (...
Traffic monitoring is a critical network operation for the purpose of traffic accounting, debugging or troubleshooting, forensics, and traffic engineering. Existing techniques for...