Cluster methods have been successfully applied in gene expression data analysis to address tumor classification. By grouping tissue samples into homogeneous subsets, more systema...
More than a process-automating tool, telemedicine is increasingly recognized for its ability to facilitate collaboration and knowledge creation between disparate healthcare provid...
Houghton G. Brown, Marshall Scott Poole, Thomas Le...
Clustering is an important technique for understanding and analysis of large multi-dimensional datasets in many scientific applications. Most of clustering research to date has be...
This paper presents a new active queue management scheme, Fuzzy Explicit Marking (FEM), implemented within the differentiated services (Diff-Serv) framework to provide congestion ...
Chrysostomos Chrysostomou, Andreas Pitsillides, Ge...
While commodity computing and graphics hardware has increased in capacity and dropped in cost, it is still quite difficult to make effective use of such systems for general-purpos...
E. Wes Bethel, Greg Humphreys, Brian E. Paul, J. D...