Generalized association rule mining is an extension of traditional association rule mining to discover more informative rules, given a taxonomy. In this paper, we describe a forma...
Abstract— This paper studies robotic sensor networks performing coverage optimization tasks with area constraints. The network coverage of the environment is a function of the ro...
We consider adaptive two-channel multiple-description coding. We provide an analytical method for designing a resolutionconstrained symmetrical multiple-description coder that use...
Janusz Klejsa, Marcin Kuropatwinski, W. Bastiaan K...
In this paper, a method for the asymptotic analysis of generalized low-density parity-check (GLDPC) codes and doubly generalized low-density parity-check (D-GLDPC) codes over the b...
Enrico Paolini, Marc P. C. Fossorier, Marco Chiani
The aim of our research is to provide a unified model for the composition and management of consumer care services. We identify design, composition, distribution and management as...
Kumari Wickramasinghe, Christian Guttmann, Michael...