Abstract. In this paper, we review methods used for macroscopic modeling and analyzing collective behavior of swarm robotic systems. Although the behavior of an individual robot in...
Applications of the future will need to support large numbers of clients and will require scalable storage systems that allow state to be shared reliably. Recent research in distr...
Liuba Shrira, Barbara Liskov, Miguel Castro, Atul ...
This paper presents a novel architecture for on-chip neural network training using particle swarm optimization (PSO). PSO is an evolutionary optimization algorithm with a growing ...
Amin Farmahini Farahani, Seid Mehdi Fakhraie, Saee...
To meet enterprise and grand challenge-scale performance and interoperability requirements, a group of engineers—initially ad-hoc but now integrated into the IETF—is designing...
As data have been growing rapidly in data centers, deduplication storage systems continuously face challenges in providing the corresponding throughputs and capacities necessary t...
Wei Dong, Fred Douglis, Kai Li, R. Hugo Patterson,...