Owing to the increase in both heterogeneity and complexity in today’s networking systems, the need arises for an architecture for network-based services that provides flexibilit...
Christos Chrysoulas, Evangelos Haleplidis, Robert ...
Higher integration densities, smaller feature lengths, and other technology advances, as well as architectural evolution, have made microprocessor cores exceptionally complex. Cur...
It has recently been observed that the node degrees of many real-world large-scale networks, such as the Internet and the Web, follow a power law distributions. Since the classical...
Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...
Genetic Algorithms (GAs) are a search and optimization technique based on the mechanism of evolution. Recently, another sort of population-based optimization method called Estimat...