Modern scientific experiments can generate hundreds of gigabytes to terabytes or even petabytes of data that may furthermore be maintained in large numbers of relatively small fil...
Wantao Liu, Brian Tieman, Rajkumar Kettimuthu, Ian...
AUSNet is a functional network of autonomous undersea vehicles. We present two novel algorithms to enhance AUSNet. In live inwater testing, a packet queueing problem in which stal...
Matthew M. Haag, Emmanuel Agu, Rick Komerska, Stev...
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
Localization is a fundamental operation for many wireless networks. While GPS is widely used for location determination, it is unavailable in many environments either due to its h...
Background: Graph theory provides a computational framework for modeling a variety of datasets including those emerging from genomics, proteomics, and chemical genetics. Networks ...
Joshua J. Forman, Paul A. Clemons, Stuart L. Schre...