As real-time and embedded systems become increasingly large and complex, the traditional strictly static approach to memory management begins to prove untenable. The challenge is ...
Andrew Borg, Andy J. Wellings, Christopher D. Gill...
Whereas partial order methods have proved their efficiency for the analysis of discrete-event systems, their application to timed systems remains a challenging research topic. Here...
Finding frequent patterns from databases has been the most time consuming process in data mining tasks, like association rule mining. Frequent pattern mining in real-time is of in...
We explore a periodic analysis in the context of unobserved components time series models that decompose time series into components of interest such as trend, seasonal and irregu...