Many challenging tasks in sensor networks, including sensor calibration, ranking of nodes, monitoring, event region detection, collaborative filtering, collaborative signal proces...
: We analyze D/G/1 and M/G/1 queues where the service time for an arrival depends on the amount of work in the system upon arrival. The models are motivated by the bit dropping met...
A great flexible easy to use C++ library that is intended for scientists and engineers. The library supports the following matrix types: Matrix (rectangular matrix), UpperTriangula...
We motivate and define a category of topological domains, whose objects are certain topological spaces, generalising the usual -continuous dcppos of domain theory. Our category su...
The Sensitivity-Based Linear Learning Method (SBLLM) is a learning method for two-layer feedforward neural networks, based on sensitivity analysis, that calculates the weights by s...