Abstract-- In this paper, we propose an adaptive linear approach for time series modeling and steam line leakage detection. Weighted recursive least squares (WRLS) method is used f...
Abstract. Ensemble methods are popular learning methods that usually increase the predictive accuracy of a classifier though at the cost of interpretability and insight in the deci...
Abstract. State machines, represented by statecharts or statechart diagrams, are an important formalism for behavioural modelling. According to the research literature, the most po...
Abstract. Recently, the Phase Field Method has shown to be a powerful tool for variational image segmentation. In this paper, we present a novel multi-phase model for probability b...
Abstract. This paper addresses the problem of capturing rich, longterm personal activity logs of users’ interactions with their workstations, for the purpose of deriving predicti...