An opportunistic network is a network where each node only has connectiviy with other nodes opportunistically. To disseminate data in this kind of network is a challenging task an...
Given a large set of unorganized point sample data, we propose a new framework for computing a triangular mesh representing an approximating piecewise smooth surface. The data may ...
Bayesian networks are a powerful probabilistic representation, and their use for classification has received considerable attention. However, they tend to perform poorly when lear...
The problem of negative design of DNA languages is addressed, that is, properties and construction methods of large sets of words that prevent undesired bonds when used in DNA com...
Lila Kari, Stavros Konstantinidis, Petr Sosí...
We propose a new static test set compaction method based on a careful examination of attributes of fault coverage curves. Our method is based on two key ideas: 1 fault-list and te...