Kernel functions can be viewed as a non-linear transformation that increases the separability of the input data by mapping them to a new high dimensional space. The incorporation ...
In this paper, we consider the issue of constructing an energy-efficient virtual network backbone in mobile ad hoc networks (MANETs) for broadcasting applications using directiona...
We present an efficient off-line divisible e-cash scheme which is truly anonymous without a trusted third party. This is the second scheme in the literature which achieves full unl...
Reinforcement Learning methods for controlling stochastic processes typically assume a small and discrete action space. While continuous action spaces are quite common in real-wor...
– Mobile robots operating in home environments must deal with constrained space and a great variety of obstacles and situations to handle. This article presents a pilot study aim...