Abstract. We study computationally hard combinatorial problems arising from the important engineering question of how to maximize the number of connections that can be simultaneous...
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
We propose that the behaviour of non-linear media can be controlled automatically through coevolutionary systems. By extension, forms of unconventional computing, i.e., massively ...
Christopher Stone, Rita Toth, Andrew Adamatzky, Be...
Circuit simulation is one of the most computationally expensive tasks in circuit design and optimization. Detailed simulation at the level of precision of SPICE is usually perform...
: Traffic shaping function becomes imperative for the new broadband services that are being deployed in order to avoid information loss, to provide the end users multiple traffic o...
Francis Joseph Ogwu, Mohammad Talib, Ganiyu Aderou...