This paper presents a distributed Bayesian fault diagnosis scheme for physical systems. Our diagnoser design is based on a procedure for factoring the global system bond graph (BG...
Indranil Roychoudhury, Gautam Biswas, Xenofon D. K...
This paper defines a type of constrained artificial neural network (ANN) that enables analytical certification arguments whilst retaining valuable performance characteristics. ...
In this paper we investigate the challenges of applying statistical machine translation to meeting conversations, with a particular view towards analyzing the importance of modeli...
A state/event model is a concurrent version of Mealy machines used for describing embedded reactive systems. This paper introduces a technique that uses compositionality and depend...
Cooperative computing is becoming inevitable with the emerging of service-oriented computing and GRID becoming a ubiquitous computing resource. It is widely recognized that agent t...