Reliability-aware power management (RAPM) has been a recent research focus due the negative effects of the popular power management technique dynamic voltage and frequency scaling ...
We introduce Bayesian Expansion (BE), an approximate numerical technique for passage time distribution analysis in queueing networks. BE uses a class of Bayesian networks to appro...
Background: The protein structure prediction problem is one of the most challenging problems in biological sciences. Many approaches have been proposed using database information ...
— Identifying performance bottlenecks is important for microarchitects and application developers to produce high performance microprocessor designs and application software. Man...
This study proposes a novel forecasting approach – an adaptive smoothing neural network (ASNN) – to predict foreign exchange rates. In this new model, adaptive smoothing techni...