Abstract--Recurrent neural networks have become a prominent tool for optimizations including linear or nonlinear variational inequalities and programming, due to its regular mathem...
— AHNs are wireless networks operating without the benefits of network infrastructure (basestations) or centralized control. AHNs working with limited spectrum perform best when...
Ananth V. Kini, Steven Weber, Fadi A. Aloul, Nagar...
Abstract—Soft on-FGPA interconnection networks are gaining increasing importance since they simplify the integration of heterogeneous components and offer, at the same time, a mo...
—The deployment of cognitive radio networks enables efficient spectrum sharing and opportunistic spectrum access. It also presents new challenges to the classical problem of int...
—Location-based Social Networks (LSNs) allow users to see where their friends are, to search location-tagged content within their social graph, and to meet others nearby. The rec...