This paper advocates a strict compositional and hybrid approach for obtaining key (performance) metrics of embedded At its core the developed methodology abstracts system componen...
Abstract. We present a method for applying machine learning algorithms to the automatic classification of astronomy star surveys using time series of star brightness. Currently su...
Gabriel Wachman, Roni Khardon, Pavlos Protopapas, ...
In this paper, a comprehensive and fast method is presented for the timing analysis of process variations on single-walled carbon nanotube (SWCNT) bundles. Unlike previous works t...
In this paper we define the notion of an f(k)-uniform parameterized exponential time scheme. We show that a problem can be solved in parameterized O(2o(f(k)) p(n)) time if and on...
—This paper presents a theoretical estimation for idle channel time in a multi-hop environment. Idle channel time is the time proportion of a node during which the channel state ...