We adapt a network simulation algorithm called quantitative simulation (QSim) for use in the alignment of biological networks. Unlike most network alignment methods, QSim finds l...
— Bayesian networks have extensively been used in numerous fields including artificial intelligence, decision theory and control. Its ability to utilize noisy and missing data ...
Thanura R. Elvitigala, Abhay K. Singh, Himadri B. ...
In this paper we explore the network level architecture of distributed sensor systems that perform in-network processing. We propose a system with heterogeneous nodes that organiz...
In this paper we investigate distributed computation in dynamic networks in which the network topology changes from round to round. We consider a worst-case model in which the com...
We provide effective (i.e., recursive) characterizations of the relations that can be computed on networks where all processors use the same algorithm, start from the same state, a...