Data warehouses are increasingly supplied with data produced by a large number of distributed sensors in many applications: medicine, military, road traffic, weather forecast, util...
— Reliable and efficient operation of power networks is of paramount importance. In this paper we explore communication architectures that leverage Phasor Measurement Units (PMU...
Shrut Kirti, Zhifang Wang, Anna Scaglione, Robert ...
Regularized linear classifiers have been successfully applied in undersampled, i.e. small sample size/high dimensionality biomedical classification problems. Additionally, a desig...
When data collection is costly and/or takes a significant amount of time, an early prediction of the classifier performance is extremely important for the design of the data minin...
In this work we propose a methodology for the accurate analysis of the power consumption of interprocessor communication in a MPSoC, and the construction of high-level power macro...