—Recently, Bayesian probabilistic models have been used for predicting software development effort. One of the reasons for the interest in the use of Bayesian probabilistic model...
Parag C. Pendharkar, Girish H. Subramanian, James ...
Non-negative matrix factorization (NMF) is an excellent tool for unsupervised parts-based learning, but proves to be ineffective when parts of a whole follow a specific pattern. ...
We present a discrete simulation model for software projects which explicitly takes a scheduling strategy as input. The model represents varying staff skill levels, component coup...
The image diagnosis area is the most propense medical field to Telemedicine, because it does not obligate a direct contact of the patient with the responsible radiologist during t...
Leonardo Ribeiro, Paulo Roberto Dellani, Aldo von ...
In this paper, we suggest hardware-assisted data compression as a tool for reducing energy consumption of core-based embedded systems. We propose a novel and e cient architecture ...
Luca Benini, Davide Bruni, Alberto Macii, Enrico M...