In geographical epidemiology it is often required to produce a map of the risk of disease over a study region, a disease map. This paper reviews a variety of approaches to produce...
— Massive data analysis on large clusters presents new opportunities and challenges for query optimization. Data partitioning is crucial to performance in this environment. Howev...
Standard hidden Markov models (HMM's) have been studied extensively in the last two decades. It is well known that these models assume state conditional independence of the ob...
Efficient scheduling of jobs on parallel processors is essential for good performance. However, design of such schedulers is challenging because of the complex interaction between...
This paper deals with specific issues related to the design of distributed embedded systems implemented with mixed, eventtriggered and time-triggered task sets, which communicate ...