Consensus clustering is the problem of reconciling clustering information about the same data set coming from different sources or from different runs of the same algorithm. Cast ...
Abstract. This paper presents a new perspective to the design of wireless networks using the proposed dynamic data type refinement methodology. In the forthcoming years, new portab...
Abstract. Symbolic Trajectory Evaluation (STE) is a powerful technique for hardware model checking. It is based on a 3-valued symbolic simulation, using 0,1 and X n"), where t...
Adaptive mesh refinement (AMR) is a numerical simulation technique used in computational fluid dynamics (CFD). By using a set of nested grids of different resolutions, AMR combine...
Gunther H. Weber, Oliver Kreylos, Terry J. Ligocki...
As concern for obesity grows, the need for automated and accurate methods to monitor nutrient intake becomes essential as dietary intake provides a valuable basis for managing die...
Insoo Woo, Karl Ostmo, SungYe Kim, David S. Ebert,...