Browsing by Department "Computer Science, Department of"
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3D Reconstruction of Tubular Structures Using MRI Projection Images
(May 2018)After imaging information became available in digital form, techniques for acquiring volumetric data evolved. 3D reconstruction is mostly performed using multislice stack images. The objective of this dissertation is to ... -
A Checkpointing Restart Approach for OpenSHMEM Fault Tolerance
(2016-05)The Partitioned Global Address Space (PGAS) has emerged recently for parallel programming at large scale. The PGAS ecosystem contains libraries, and languages (often implemented atop those libraries). One such library is ... -
A Clinical Protocol to Validate a Breast Conservative Therapy Outcome Model
(2013-08)Breast cancer is the most common cancer among women around the world. Regarding the different treatments modalities for breast cancer, one is Breast Conservative Therapy (BCT) where the complete tumor and a margin of healthy ... -
A Code Structure Visualization Tool for Groovy
(2013-12)Real world systems often turn complex by nature. Dealing with complexity takes great amount of effort and time. A visualization tool can help to understand the code structure and ease the efforts. This work is an attempt ... -
A Compiler Optimization Framework for Directive-Based GPU Computing
(August 201)In the past decade, accelerators, commonly Graphics Processing Units (GPUs), have played a key role in achieving Petascale performance and driving efforts to reach Exascale. However, significant advances in programming ... -
A Computational Framework for Finding Interestingness Hotspots in Spatial Datasets
(2016-12)The significant growth of spatial data increased the need for automated discovery of spatial knowledge. An important task when analyzing spatial data is hotspot discovery. In this dissertation, we propose a novel methodology ... -
A Computational Framework to Understand Vascular Adaptation
(2015-05)Researchers have been continuously applying a wide variety of approaches to understand vascular adaptation over the past two decades. However, the specific cause/effect or links between the hemodynamic factors, inflammatory ... -
A Computational Image-Based Guidance System for Precision Laparoscopy
(2016-12)This dissertation presents our progress toward the goal of building a computational image-based guidance system for precision laparoscopy; in particular, laparoscopic liver resection. As we aim to keep our working goal ... -
A Computational Study of Visual Attention on Objects and Gestures during Infancy
(2017-08)Understanding the pathway to the development of visual attention and the role of vision in object name learning during infancy have been one of the focus of developmental studies over the years. Head cameras have been ... -
A Fast Clustering Algorithm Merging The Expectation Maximization Algorithm and Markov Chain Monte Carlo
(2015-05)Clustering is an important problem in Statistics and Machine Learning that is usually solved using Likelihood Maximization methods, of which the Expectation-Maximization algorithm (EM) is the most common. In this work ... -
A FRAMEWORK ARCHITECTURE FOR SHARED FILE POINTER OPERATIONS IN OPEN MPI
(2013-05)MPI is a message passing interface that provides a distributed memory programming model for parallel computation. MPI-I/O is a parallel I/O library that is part of the MPI-2 specification. As an intermediate layer between ... -
A General Summarization Matrix for Scalable Machine Learning Model Computation in the R Language
(2019-05)Data analysis is an essential task for research. Modern large datasets indeed contain a high volume of data and may require a parallel DBMS, Hadoop Stack, or parallel clusters to analyze them. We propose an alternative ... -
A High-Level Programming Model for Embedded Multicore Processors
(2013-08)Traditionally, embedded programmers have relied on using low-level mechanisms for coordinating parallelism and managing memory. This is typically a herculean task, especially considering that this approach is processor-specific ... -
A Library in C++ for Graphical Password and Human Verification
(2017)A graphical authentication method is implemented through selection of discretized points on an image. Discretization is used in click-based graphical passwords so that approximately correct entries can be accepted by the ... -
A Methodology for Finding Uniform Regions in Spatial Data and its Application to Analyzing the Composition of Cities
(2013-08)Cities all around the world are in constant evolution due to numerous factors, such as fast urbanization and new ways of communication and transportation. However, the evolution of the composition of a city is difficult ... -
A Multi-Pronged Approach to Phishing Email Detection
(2015-12)Phishing emails are a nuisance and a growing threat for the world causing loss of time, effort and money. In this era of online communication and electronic data exchange, every individual connected to the Internet has to ... -
A Multiscale Model for Breast-Conservative Therapy: Computational Framework and Clinical Validation
(2015-08)Breast cancer is the most common cancer among women worldwide and affects 12% of all the women in the USA. There exist different surgical approaches in order to defeat this kind of cancer: the traditional mastectomy (Breast ... -
A New Approach To Domain Adaptation Applied To Supernova Photometric Classification
(2016-05)Supernova Type Ia plays a vital role in the measurement of the cosmological parameters. It is used as ‘standard candles’ for measuring extragalactic distances. There are other types of supernovae like Supernova Type Ib and ... -
A Novel Consistency Metric for Web Application Performance Analysis using Geographically-Distributed Traffic Data
(2020-05)Web applications constitute the majority of internet traffic today. These applications have been optimized for a desired level of user experience. Optimization of web application performance requires extensive testing. A ... -
A Novel Transmission Mechanism for MRI-Compatible Surgery Robot
(December 2)Minimally invasive surgery (MIS) techniques provide reduced patient discomfort, faster healing time, decreased risk of complications, and better overall patient outcomes. Medical imaging guidance is particularly crucial ...