Performance modeling and evaluation techniques are essential when designing and implementing distributed software systems. Constructing performance models for such systems can req...
Debra L. Smarkusky, Reda A. Ammar, Imad Antonios, ...
: This paper describes the development of neural network models for noise reduction. The networks used to enhance the performance of modeling captured signals by reducing the effec...
Architecture frameworks are methods used in architecture modeling. They provide a structured and systematic approach to designing systems. To date there has been little analysis o...
The essence of any modeling approach for product line architectures lies in its ability to express variability. Existing approaches do so by explicitly specifying variation points...
– In this paper we present a generic computational model to include emotion and personality in the behaviour of a robot. This model is based on a comparison of recent computation...