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1.
Stopping data races using Redflag
by Duggal, Abhinav, M.S.  State University of New York at Stony Brook. 2010: 38 pages; 1477351.
3.
Mitigating Privilege Escalation
by Brookes, Scott, Ph.D.  Dartmouth College. 2018: 215 pages; 10822683.
4.
KMux: Kernel Extension At The Hardware Interface
by Hossain, Tareque, M.S.  The George Washington University. 2011: 54 pages; 1492034.
5.
Fusion of Evolution Constructed Features for Computer Vision
by Price, Stanton Robert, Ph.D.  Mississippi State University. 2018: 157 pages; 10746451.
6.
A Functional Approach to Memory-Safe Operating Systems
by Leslie, Rebekah, Ph.D.  Portland State University. 2011: 342 pages; 3481882.
7.
Graph-based learning for information systems
by Li, Xin, Ph.D.  The University of Arizona. 2009: 197 pages; 3352368.
8.
Large margin transformation learning
by Howard, Andrew G., Ph.D.  Columbia University. 2009: 90 pages; 3388470.
9.
Module-Based Analysis for "Omics" Data
by Wang, Zhi, Ph.D.  North Carolina State University. 2013: 187 pages; 3690212.
11.
Generative Probabilistic Models for Analysis of Communication Event Data with Applications to Email Behavior
by Navaroli, Nicholas Martin, Ph.D.  University of California, Irvine. 2014: 249 pages; 3668831.
12.
Mathematical Modeling of Moisture Movement within a Rice Kernel during Convective and Infrared Drying
by Prakash, Bhagwati, Ph.D.  University of California, Davis. 2011: 210 pages; 3474451.
13.
Efficient particle-in-cell simulation of auroral plasma phenomena using a CUDA enabled graphics processing unit
by Sewell, Stephen, M.S.E.  The University of Alabama in Huntsville. 2014: 148 pages; 1559557.
14.
A Probabilistic Biomarker for Alzheimer's Disease
by Ayhan, Murat Seckin, Ph.D.  University of Louisiana at Lafayette. 2015: 103 pages; 10002384.
15.
Parallelizing a data intensive Lagrangian stochastic particle model using graphics processing units
by Hurst, Jonathan George, M.S.  University of Colorado at Boulder. 2010: 101 pages; 1481219.
17.
Privilege Leakage in Practical Systems
by Grace, Michael C., Ph.D.  North Carolina State University. 2017: 114 pages; 10969800.
20.
Kernel Based Relevance Vector Machine for Classification of Diseases
by Tcheimegni, Elie, D.Sc.  Bowie State University. 2013: 202 pages; 3558597.
22.
Analytical techniques for the improvement of mass spectrometry protein profiling
by Pelikan, Richard Craig, Ph.D.  University of Pittsburgh. 2011: 251 pages; 3472018.
23.
Improving non-linear approaches to anomaly detection, class separation, and visualization
by Paciencia, Todd J., Ph.D.  Air Force Institute of Technology. 2014: 354 pages; 3667806.
24.
Characterizing Latencies of Edge Video Streaming
by Balhaj, Mohamed, M.S.  The University of North Carolina at Charlotte. 2017: 64 pages; 10280746.
25.
Securing Operating Systems Through Utility Virtual Machines
by Denz, Robert, Ph.D.  Dartmouth College. 2016: 222 pages; 10190644.
26.
Inverse transport with angularly averaged measurements
by Langmore, Ian, Ph.D.  University of Washington. 2008: 103 pages; 3318209.
27.
Region-based memory management for expressive GPU programming
by Holk, Eric, Ph.D.  Indiana University. 2016: 154 pages; 10132089.
28.
Three-dimensional hand gesture recognition using a ZCam and an SVM-SMO classifier
by Bonansea, Lucas, M.S.  Iowa State University. 2009: 63 pages; 1468148.
29.
Advances in motion profiling
by Bowling, David, Ph.D.  The University of New Mexico. 2008: 227 pages; 3346738.
30.
Symbiotic virtualization
by Lange, John Russell, Ph.D.  Northwestern University. 2010: 224 pages; 3426601.
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