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Robotic and haptic assistance for kidney access during percutaneous nephrolithotomy
(2021-08-01)
Percutaneous nephrolithotomy (PCNL) is a minimally invasive procedure for removing kidney stones. Gaining kidney access is the most challenging task in this procedure and the cause of many complications. This thesis presents ...
Retail electric provider selection for prosumers with local distributed energy resources and plug-in electric vehicles using data mining techniques
(2021-01-01)
In a deregulated retail electricity market, the residential customers typically have the liberty to choose an electricity service plan from a list of retail electric providers (REPs) that best matches their monthly energy ...
Early detection of cyber-physical attacks in electric vehicles fast charging stations using machine learning
(2021-08-01)
In smart grids, the concept of “vehicle-to-grid” allows the electric vehicles to export power to the grid to support the electric utilities in the power distribution system’s operation. The implementation of such a concept ...
Development of a knowledge base using human experience semantic network for instructive texts
(2021-12-01)
An organized knowledge base plays a vital role in retaining knowledge. Instructive text (iText) consists of a set of instructions to accomplish a task or operation. In the case of iText, storing only entities and their ...
Reducing operational cost of an autonomous robot using combined data-driven and navigational algorithms
(2021-04-01)
Autonomous mobile robots have become an important presence in various fields of work, but are restricted by short operation times due to the limitations of their onboard energy sources. This factor bottlenecks applications ...
A novel spatiotemporal framework for efficient traffic prediction and visualization
(2021-12-01)
This thesis proposes an efficient traffic prediction framework to estimate congestion at intersections depending on neighboring road links. The framework encompasses three major components, data extraction, Bayesian Linear ...
Health and safety enhancement of lithium-ion batteries for fast-charging
(2021-08-01)
With the ever-increasing demand for battery electric vehicles, the expectation of safety, range, and fast charging has become a major focus for industry players and researchers. The research presented herein sought to ...
An energy-efficient periodic resource model for cyber-physical systems By Suzanne Elashri
(2021-08-01)
Cyber-Physical Systems (CPS), especially real-time systems, are subject to time constraints that should be met for the applications to run properly. The schedulability of workloads can be analyzed by determining the supply ...
Yield estimation and smart harvesting for precision agriculture using deep learning
(2021-08-01)
Precision agriculture is one of the fastest growing fields in recent years. In this thesis, we introduce a framework that provides farmers with a yield estimation from videos of crops and provides guided assistance for ...
Enhancing parallel coordinates and RadVis visualizations using single-and multi-objective optimization
(2021-04-01)
Data visualization is crucial to discover hidden patterns and relationships in high dimensional datasets; visualization is an essential branch in data analytics applied in science and engineering fields. This thesis has ...