Now showing items 1-4 of 4
Parallel Algorithms for Large-scale Computational Metagenomics
Developing high performance computing solutions for modern day biological problems present a unique set of challenges. The field is experiencing a data revolution due to a rapid introduction of several disruptive experimental ...
Entropy and Software Systems: Towards an Information-Theoretic Foundation of Software Testing
In this dissertation, we introduce an information-theoretic framework for software testing and integrate information theory into it.We first propose a syntax-independent coverage criterion for software testing. We use ...
Scaling Activity Discovery and Recognition to Large, Complex Datasets
In the past decade, activity discovery and recognition has been studied by many researchers. However there are still many challenges to be addressed before deploying such technologies in the real world. We try to address ...
Behaviometrics for Multiple Residents in a Smart Environment
Smart homes and ambient intelligence show great promise in the fields of medical monitoring, energy efficiency and ubiquitous computing applications. Their ability to adapt and react to the people relying on them positions ...