Naval Postgraduate School
Theses and Dissertations
Now showing items 1-5 of 5
Automated creation of labeled pointcloud datasets in support of machine learning-based perception
(Monterey, California: Naval Postgraduate School, 2017-12)
Autonomous vehicles continue to struggle with understanding their environments and robotic perception remains an active area of research. Machine learning–based approaches to computer vision, particularly the increasing ...
Scaling bulk data analysis with mapreduce
(Monterey, California: Naval Postgraduate School, 2017-09)
Between 2005 and 2015, the world population grew by 11% while hard drive capacity grew by 95%. Increased demand for storage combined with decreasing costs presents challenges for digital forensic analysts working within ...
Comparing two tools for mobile-device forensics
(Monterey, California: Naval Postgraduate School, 2017-09)
Gathering forensic data from mobile devices has become essential with the rise of mobile technology and the value of the data they store. This thesis looked at a new analysis platform, which we called "T," and compared its ...
Deep learning for media analysis in defense scenarios--an evaluation of an open-source framework for object detection in intelligence-related image sets
(Monterey, California: Naval Postgraduate School, 2017-06)
The Department of Defense struggles to develop and maintain cutting-edge software through the Defense Acquisition System. The pace of improvements in machine learning algorithms and software suggests the organization will ...
Detecting target data in network traffic
(Monterey, California: Naval Postgraduate School, 2017-03)
Data exfiltration over a network poses a threat to confidential information. Due to the possibility of malicious insiders, this threat is especially difficult to mitigate. Our goal is to contribute to the development of a ...
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