In context-aware computing, distributed information about entities, such as people, places and objects, is captured and made available to applications, which utilize this context....
The need for an automatic inference process able to deal with information coming from unreliable sources is becoming a relevant issue both on corporate networks and on the open Web...
Well-defined memory consistency models are necessary for writing correct parallel software. Developing and understanding formal specifications of hardware memory models is a chal...
ARIMA is a popular method to analyze stationary univariate time series data. There are usually three main stages to build an ARIMA model, including model identification, model est...
Abstract--Thermal issues are fast becoming major design constraints in high-performance systems. Temperature variations adversely affect system reliability and prompt worst-case de...
Amit Kumar 0002, Li Shang, Li-Shiuan Peh, Niraj K....