This article introduces the concept of combining both form (CAD models) and behavior (simulation models) of mechatronic system components into component objects. By composing thes...
Rajarishi Sinha, Christiaan J. J. Paredis, Pradeep...
: The aim of this study was to demonstrate the effectiveness of an adaptive neuro-fuzzy inference system (ANFIS) for the prediction of diesel spray penetration length in the cylind...
Shaun H. Lee, Robert J. Howlett, Simon D. Walters,...
Standard hidden Markov models (HMM's) have been studied extensively in the last two decades. It is well known that these models assume state conditional independence of the ob...
This paper presents a method of learning and recognizing generic object categories using part-based spatial models. The models are multiscale, with a scene component that specifie...
Abstract. A popular approach to compositional verification of component-based applications is based on the assume-guarantee paradigm, where an assumption models behavior of an env...