Author | Title | Subject | Date | Publication Type | ||
---|---|---|---|---|---|---|
1 |
![]() |
Melville, Joseph | Structural damage detection using dictionary learning | Electrical engineering; Mechanical engineering; Computer science | 2017 | thesis |
2 |
![]() |
Kunz, Joshua | XNET: capability enabled cloud access control system | Computer science | 2017 | thesis |
3 |
![]() |
Kesavan, Aniraj | Making large transfers fast for in-memory databases in modern networks | Computer science | 2017 | thesis |
4 |
![]() |
Parker, Michael Allen | Efficient user-level event notification | Architecture; Interrupt; Message-passing; Notification; User-level; Computer science | 2013-08 | dissertation |
5 |
![]() |
Clark, Michael R. | Enhancing covert communications with colluding receivers | Communications; Covert; Computer science | 2010 | thesis |
6 |
![]() |
Ricci, Robert Preston Riekenberg | Enhancing realism and scalability in network testbeds | Computer science | 2010 | dissertation |
7 |
![]() |
Li, Xiangqi | Debugging with Domain-specific Events via Macros | Computer science | 2017 | dissertation |
8 |
![]() |
Dimjasevic, Marko | Enhancing automatic software testing for broader applicability | Computer science; Electrical engineering | 2018 | dissertation |
9 |
![]() |
Gebhardt, Daniel J. | Energy-efficient design of an asynchronous network-on-chip | Computer Engineering; Electrical engineering; Computer science | 2011-08 | dissertation |
10 |
![]() |
Liu, Shusen | Visual exploration of high-dimensional spaces through identification, summarization, and interpretation of two-dimensional projections | Computer science | 2017 | dissertation |
11 |
![]() |
McKenna, Sean Patrick | The design activity framework: investigating the data visualization design process | Computer science; Design | 2017 | dissertation |
12 |
![]() |
Raj, Mukund | Depth-based visualizations for ensemble data and graphs | Computer science; Mathematics | 2018 | dissertation |
13 |
![]() |
Perry, Daniel J. | Data analysis and visualization using basis selection for matrix approximation | Computer science | 2017 | dissertation |