Continuous-time Bayesian networks is a natural structured representation language for multicomponent stochastic processes that evolve continuously over time. Despite the compact r...
We used to treating information received (from recognized sources) as trustworthy, which is unfortunately not true because of attacks. The situation can get worse with the emerging...
In this paper, we present a family of adaptive protocols, called SPIN (Sensor Protocols for Information via Negotiation), that efficiently disseminate information among sensors in ...
Joanna Kulik, Wendi Rabiner Heinzelman, Hari Balak...
: We revisit price of anarchy in network routing, in a new model in which routing decisions are made by self-interested components of the network, as opposed to by the flows as in ...
Background: Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a revers...
Dong-Chul Kim, Xiaoyu Wang, Chin-Rang Yang, Jean G...