Clustering is ill-defined. Unlike supervised learning where labels lead to crisp performance criteria such as accuracy and squared error, clustering quality depends on how the cl...
Rich Caruana, Mohamed Farid Elhawary, Nam Nguyen, ...
Background: DNA Microarray technology is an innovative methodology in experimental molecular biology, which has produced huge amounts of valuable data in the profile of gene expre...
− In a clustered, multi-hop sensor network, a large number of inexpensive, geographically-distributed sensor nodes each use their observations of the environment to make local ha...
Software monocultures are usually considered dangerous because their size and uniformity represent the potential for costly and widespread damage. The emerging concept of collabor...
Michael E. Locasto, Stelios Sidiroglou, Angelos D....
In this paper we consider data freshness and overload handling in embedded systems. The requirements on data management and overload handling are derived from an engine control so...