We investigate planning for self-interested agents in large multi-agent simulations. We present two heuristic algorithms that exploit different domain-specific properties in order...
General object recognition in mobile robots is of primary importance in order to enhance the representation of the environment that robots will use for their reasoning processes. T...
Arnau Ramisa, Shrihari Vasudevan, David Aldavert, ...
Energy efficiency is one of important issues in the resource contrained wireless sensor network. In this paper, we propose the authentication and key agreement protocol that effic...
Kyusuk Han, Jangseong Kim, Kwangjo Kim, Taeshik Sh...
In this paper, we present a summarization technique adapted to trajectory streams. The Spatiotemporal Stream Sampling (STSS) algorithm is a single-pass sampling technique that tak...
Mohamed Khalil El Mahrsi, Christine Potier, George...
Aim of this paper is to address the problem of learning Boolean functions from training data with missing values. We present an extension of the BRAIN algorithm, called U-BRAIN (U...