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...
In ubiquitous computing, behavior routine learning is the process of mining the context-aware data to find interesting rules on the user’s behavior, while preference learning tri...
Scheduling divisible workloads in distributed systems has been one of the interesting research problems over the last few years. Most of the scheduling algorithms previously intro...
Nguyen The Loc, Said Elnaffar, Takuya Katayama, Tu...
Leakage current has become a stringent constraint in today’s processor designs in addition to traditional constraints on frequency. Since leakage current exhibits a strong inver...
Rajeev R. Rao, Anirudh Devgan, David Blaauw, Denni...