Search
Now showing items 11-20 of 33
The World Trade Web: using network analysis and machine learning as tools for public policy decision-making
(2020-11-01)
The World Trade Web (WTW) contains a wealth of information that upon rigorous analysis can aid governments in public policy decision-making. In my attempt to provide this valuable input, this dissertation uses two main ...
Radiation response and optical characterization of carbon based thin-films prepared by saddle field plasma enhanced chemical vapor deposition
(2020-09-01)
Carbon based thin-film materials have been attracting a lot of attention in many research fields due to their unique material properties. Detection of ionizing radiation is an important application that carbon and diamond ...
Kill switch design pattern for microservice architectures on internet of things devices
(2020-12-01)
Containers and virtual machines are being adopted to develop embedded Linux Internet-of-Things applications. Consumer Internet-of-Things devices have been notoriously insecure due to loss of continued software support. To ...
Deep learning approach to discontinuity-preserving image registration
(2020-05-01)
Image registration is an indispensable tool in medical image analysis. Traditionally, registration algorithms are aimed at aligning image pairs using regularizers to impose smoothness restrictions on unknown deformation ...
Effect of copper contamination at the cathode in Cu-Cl electrolyzers for hydrogen production
(2020-04-01)
In this work the effects of copper contamination on the coulombic and voltage efficiency of the hydrogen evolution reaction (HER) via the Cu-Cl thermochemical cycle are investigated. A novel proton pump configuration was ...
JoVA-hinge: joint variational autoencoders for personalized recommendation with implicit feedback
(2020-12-01)
Recently, Variational Autoencoders (VAEs) have shown remarkable performance in collaborative filtering (CF) with implicit feedback. These existing recommendation models learn user representations to reconstruct or predict ...
An in-depth analysis of guesser behavior
(2020-11-01)
We propose a methodology to perform an in-depth analysis on different password guessers and their guessing abilities. We devise new metrics and statistics that directly compare the types of passwords each guesser generates, ...
Polymorphic Adversarial DDoS attack on IDS using GAN
(2020-12-01)
IDS are essential components in preventing malicious traffic from penetrating networks. IDS have been rapidly enhancing their detection ability using ML algorithms. As a result, attackers look for new methods to evade the ...
Comparative analysis of deep learning and graph cut algorithms for cell image segmentation
(2020-08-01)
Image segmentation is a commonly used technique in digital image processing with many applications in the area of computer vision and medical image analysis. The goal of image segmentation is to partition an image into ...
Characterizing Plankton communities in Lake Ontario coastal wetlands along an urban land-use gradient
(2020-04-01)
This thesis presents the results of a study on the effect of habitat condition and water quality on plankton communities across an urban land-use gradient in the Lake Ontario coastal wetlands: Frenchman’s Bay, Lynde Marsh, ...