We introduce a framework for generating, organizing, and reasoning with computational knowledge. It is motivated by the observation that most problems in Computational Sciences Engineering (CSE) can be described as of completing (from data) graph (or hypergraph) representing dependencies between functions variables. In setting nodes represent variables edges hyperedges) functionals). Functions ...

Nonlinear dimensionality reduction is an active area of research. In this paper, we present a thematically different approach to detect low-dimensional manifold that lies within set bounds derived from given point cloud. A matrix representing distances on low-rank, and our method based current low-rank Matrix Completion (MC) techniques for recovering partially observed fully entries. MC methods...

Unmanned aerial vehicle (UAV)-enabled communication has emerged as an irreplaceable technology in military, disaster relief and emergency scenarios. This correspondence investigates the average throughput a UAV-enabled cognitive radio network, where UAV is regarded dedicated secondary user to enhance network coverage spectral efficiency. Based on probabilistic line-of-sight channel, we exploit ...