Although feature modelling is a frequently used approach to the task of modelling commonality and variability within product lines, there is currently no standard modelling notati...
T. John Brown, Rachel Gawley, Ivor T. A. Spence, P...
In this paper, we introduce the semantic network model (SNM), a generalization of the hidden Markov model (HMM) that uses factorization of state transition probabilities to reduce...
Stjepan Rajko, Gang Qian, Todd Ingalls, Jodi James
We present a semi-supervised source separation methodology to denoise speech by modeling speech as one source and noise as the other source. We model speech using the recently pro...
A domain model describes common and variant requirements for a system family. UML notations used in requirements analysis and software modeling can be extended with “variation p...
The focus of this paper is a manufacturing system placed in Calabria (Italy) which produces high pressure hydraulic hoses. The objective is to implement a simulator to be used bot...
Duilio Curcio, Francesco Longo, Giovanni Mirabelli