Browsing by Author "Antonio, John"
Now showing items 1-9 of 9
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Bridging the Gap between Sparse Matrix Computation and Graph Models
Abdelaal, Khaled (2024-05-10)Sparsity manifests itself in a multitude of modern High-Performance Computing applications including graph neural networks, network analytics, and scientific computing. In sparse matrices, the majority of values are zeros. ... -
Compression techniques for extreme-scale graphs and matrices: sequential and parallel algorithms
Gopal Krishna, Sudhindra (2023-08-04)A graph G = (V, E) is an ordered tuple where V is a non-empty set of elements called vertices (nodes), and E is a set of an unordered pair of elements called links (edges), and a time-evolving graph is a change in the ... -
The Context-Aware Learning Model
Suh, Joohee (2017-12)The ultimate goal of this research is to build a novel, generalized, arbitrary-depth, neural controller that performs reward- and experience-based neuromodulatory learning, which is online, bootstrapping, interactive, ... -
Developing Novel Computer Aided Diagnosis Schemes for Improved Classification of Mammography Detected Masses
Jones, Meredith (2023-12-15)Mammography imaging is a population-based breast cancer screening tool that has greatly aided in the decrease in breast cancer mortality over time. Although mammography is the most frequently employed breast imaging modality, ... -
Digital-At-Every-Element Radar Resource Allocation for Multi-Target Tracking
Lucking, David (2019-05)A sensor's performance is constrained by the amount of resources at its disposal and the utilization of those resources. A radar system, for example, has a limited amount of transmit power-aperture per unit time to track ... -
Factors Affecting Master's Student Completion Rates
Grover, Matthew (2020-12)Engineering master’s education is an understudied area in research. This lack of research has important ramifications to institutions, students, and society at large. Lower completion rates mean fewer qualified engineers ... -
Feedback and Requirement Biasing for Enhancing Robustness of Scheduling Algorithms for Distributed System Processing
Grounds, Nicolas (2018-12)Scheduling tasks in a distributed system (e.g., cloud computing) in order to optimize an objective such as minimizing deadline misses has been a topic of research for decades. Such a problem is proven NP Complete even ... -
Prediction Models for Estimating the Efficiency of Distributed Multi-Core Systems
Hasan, Khondker (2014-07-24)The efficiency of a multi-core architecture is directly related to the mechanisms that map the threads (processes in execution) to the cores. Determining the resource availability (CPU and main memory) of the multi-core ... -
Real-Time Narrowband and Wideband Beamforming Techniques for Fully-Digital RF Arrays
Thompson, Daniel (2017-12)Elemental digital beamforming offers increased flexibility for multi-function radio frequency (RF) systems supporting radar and communications applications. As fully digital arrays, components, and subsystems are becoming ...