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Some of the material in is restricted to members of the community. By logging in, you may be able to gain additional access to certain collections or items. If you have questions about access or logging in, please use the form on the Contact Page.
Clustering is an essential data mining tool that aims to discover inherent cluster structure in data. As such, the study of clusterability, which evaluates whether data possesses such structure, is an integral part of cluster analysis....
The task of protecting software integrity can be approached with a two-part strategy that addresses threats to the static integrity of memory contents and the dynamic integrity of software memory interactions. Although their resultant...
Simulation software is used in a multitude of industry and academic fields, in an assortment of scopes. One might be interested in gravitation of celestial bodies, or field structures of molecular interactions. The scale to which these...
Clustering is a fundamental data mining tool that aims to divide data into groups of similar items. Intuition about clustering reflects the ideal case -- exact data sets endowed with flawless dissimilarity between individual instances....
Python Package Index (PyPI) is a repository that hosts all the packages ever developed for the Python community. It hosts thousands of packages from different developers and for the Python community, it is the primary source for...
Performance modeling and simulation of parallel applications are critical performance analysis techniques in High Performance Computing (HPC). Efficient and accurate performance modeling and simulation can aid the tuning and optimization...
Recent advancements in the field of deep learning have dramatically improved the performance of machine learning models in a variety of applications, including computer vision, text mining, speech processing and fraud detection among...
For decades, augmented reality has been used to allow a person to visualize an overlay of annotations, videos, and images on physical objects using a camera. Due to the high computational processing cost that is required to match an...
Behavior selection is a problem that AI development has faced for years, whether it be in video games or crowd-simulation software. While video game studios use methods like hierarchical task network (HTN) planners to control the...
The Internet of Things (IoT) has revolutionized how we interact with technology by enabling numerous devices to communicate and autonomously perform tasks in various settings such as homes, enterprises, and smart cities. However, this...
Selection of a suitable Ph.D. supervisor is a very important step in a student's career. This dissertation presents a multi-criteria decision support system to assist students in making this choice. The system employs a hybrid method...
The Distributed Oceanographic Match-Up Service (DOMS) currently under development is a centralized service that allows researchers to easily match in situ and satellite oceanographic data from distributed sources to facilitate satellite...
Since 2008, the Android ecosystem has been tremendously popular with consumers, developers, and manufacturers due to the open nature of the operating system and its compatibility and availability on a range of devices. This, however, ...
This dissertation presents contributions to several problems relevant to cyber physical system (CPS) vulnerability research. Cyber physical systems encompass any computational systems that interact with physical processes, encompassing...
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