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Phishing Site Detection from a Web Developer's Perspective
(2019-12)
The Internet has enabled unprecedented communication and new technologies. Concomitantly, it has brought the bane of phishing and exacerbated vulnerabilities. In this thesis, we propose a model to detect phishing webpages ...
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 ...
Exploring Techniques to Analyze Chest X-Ray Using Gaze Data
(May 2018)
Even with the current technological advancements in the field of radiology, the error rate in radiology diagnosis has not decreased significantly. These errors result in thousands of deaths in the US alone. There is a need ...
Machine Learning to Analyze fMRI Brain Activity Recordings
(2019-05)
In recent years, data-driven machine learning (ML) algorithms have seen increased use to study brain activity fMRI time series. Giving mathematical solutions by constructing quantitative models has proved to be a reliable ...
Hierarchical Classification of Variable Stars Using Neural Networks
(2019-08)
Variable stars play a prominent role in our study of the universe and are essential to estimating cosmological parameters. They are considered '‘standard candles’' due to their intrinsic variability, which allows their ...
The Spatiotemporal Dynamics of Mycobacterial Infection
(2019-08)
Host response to Mycobacterium tuberculosis (Mtb) is distinctive in the use of a spatial immunological response to limit the progression of infection. This results in the formation granulomas, aggregations of immune cells ...
Optimization of Injection Well Placement for Waterflooding in Heterogeneous Reservoirs using Artificial Neural Networks Coupled with Reservoir Simulation
(2019-05)
Secondary recovery methods such as waterflooding and gasflooding are often applied to depleted reservoirs for enhancing oil and gas production. Reservoir simulations are performed to predict the hydrocarbon production by ...
Anomalous Behavior Analysis in Social Networks and Consumer Review Websites
(2018-12)
Web and social media have been influencing every aspect of today's world, rendering a tremendous amount of data that requires new insights to know about the current society. The usage and dependence on these media has led ...
Automating Pre-Stack Migration Enhancement and Image Quality Analysis
(2019-12)
The quality of a seismic migration image strongly depends on an accurate velocity model. However, the migration velocity model often contains errors causing artifacts that degrade seismic resolution and fidelity. Here, I ...
Integrated AVO Analysis, Seismic Inversion and Machine Learning for De-risking New Prospects in The Hutton Sandstone Formation, Onshore Australia
(2019-12)
Identifying lithofacies and pore fluids is still a problematic issue in the Hutton Formation, Queensland field, onshore Australia. The target reservoir is usually a one-well prospect since it is of limited size and most ...