Boolean satisfiability (SAT) based methods have traditionally been popular for formally verifying properties for digital circuits. We present a novel methodology for formulating a...
Saurabh K. Tiwary, Anubhav Gupta, Joel R. Phillips...
Abstract. Finite element mesh adaptation methods can be used to improve the efficiency and accuracy of solutions to computational modeling problems. In many applications involving ...
Adam C. Woodbury, Jason F. Shepherd, Matthew L. St...
We have developed a machine learning toolbox, called SHOGUN, which is designed for unified large-scale learning for a broad range of feature types and learning settings. It offers...
As massive repositories of real-time human commentary, social media platforms have arguably evolved far beyond passive facilitation of online social interactions. Rapid analysis o...
In this paper, we propose a technique to flexibly implement genetic algorithms for various problems on FPGAs. For the purpose, we propose a basic architecture for GA which consist...