— As the geometries of the transistors reach the physical limits of operation, one of the main design challenges of Systems-on-Chips (SoCs) will be to provide dynamic (run-time) ...
Federico Angiolini, David Atienza, Srinivasan Mura...
Machine learning approaches offer some of the most cost-effective approaches to building predictive models (e.g., classifiers) in a broad range of applications in computational bio...
Abstract. This study presents developed algorithm for assessment and updating estimates of parameters in the mathematical models of non-stationary processes (for instance, system a...
Inga Zutautaite-Seputiene, Juozas Augutis, Laimuti...
A hybrid Bayesian Network (BN) is one that incorporates both discrete and continuous nodes. In our extensive applications of BNs for system dependability assessment the models are...
Martin Neil, Manesh Tailor, Norman E. Fenton, Davi...
Abstract. Errors in a requirements model have prolonged detrimental effects on reliability, cost, and safety of a software system. It is very costly to fix these errors in later ...