Transient stability studies are required to be carried out for an efficient and secure operation of power systems. However, due to the limitations of computer memory and processing speed, handling a complete set of DAEs ...

This thesis presents deep learning techniques applied to the modeling of geophysical quantities with remote sensing data to estimate soil moisture and classify sea ice type. The objective of the thesis is to determine if ...

Frequency scanning is a numerical method for extracting the frequency response of a power electronic system (PES). This technique is performed via injecting a small-amplitude wide-band signal in the time-domain simulation ...

Increased penetration of electric vehicles (EVs) and renewable energy sources (RESs) in power systems can directly affect the system reliability and impose additional complexities to planning and operation due to their ...

It is difficult to detect atherosclerotic plaque from optical coherence tomography (OCT) images via visual inspection. In this work, we developed three algorithms to allow us to detect atherosclerotic plaque more effectively: ...

This thesis presents research into microwave remote sensing technologies for Arctic Science applications. In the first part of my thesis, I created and verified procedures for measuring the dielectric of a small volume ...

Wind turbine power curve modeling plays an important role in wind energy management. Accurate estimation of power curves can help reducing power systems maintenance costs. In this thesis, we use machine learning techniques ...

An artificial olfactory system, capable of detecting and discriminating different volatile organic compounds, has a vast potential to solve several sensing challenges. This work demonstrates an electronic olfaction system ...

Depending on the application type there are numerous stages of an automated computer vision system. Extracting informative foreground from the clutter of background data and identifying patterns are two stages of a typical ...

This research investigates the appropriateness of Information-Theoretic-Based (ITB) metrics compliant with finite sense stationarity (FSS) and derived from the Variance Fractal Dimension Trajectory (VFDT), to augment network ...