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Design and evaluation of a hybrid multi-task learning model for optimizing deep reinforcement learning agents
(2021-04-01)
Driven by recent technological advancements within the artificial intelligence domain, deep learning has emerged as a promising representation learning technique. This in turn has given rise to the evolution of deep ...
Triton: a domain specific language for cyber-physical systems
(2021-04-01)
The design of cyber-physical systems is non-trivial and often filled with tedious, error-prone tasks that could be represented in a better way. Engineers often work with low-level languages such as C and C++, with real-time ...
Effect of cutting tool microgeometry when milling hardened steels, a finite element simulation and surface integrity analysis
(2021-01-01)
This research work presents a 3D finite element model for the milling of hardened steels. The model was developed using ABAQUS/Explicit software and the Lagrangian approach was utilized. Experimental milling tests were ...
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 ...
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 ...
Joint optimization of transmit beamforming and base station cache allocation in multi-cell C-RAN
(2021-11-01)
Cloud radio access network (C-RAN) with wireless backhaul has been considered as a possible solution for small cell deployment. Limited capacity of wireless backhaul encourages people to equip the base stations (BSs) with ...
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 ...
Compact integrated designs of microwave filters and antennas with dual-polarization
(2021-02-01)
Microwave antenna and filter circuits are key components in all types of communication systems. In order to achieve high compactness and high performance for next generation wireless networks, this thesis investigates the ...
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 ...
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 ...