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Tunable compact microwave multiplexers based on substrate integrated waveguide
(2021-05-01)
Microwave multiplexers and diplexers are widely used in communication systems. This thesis presents a compact low-profile hybrid-coupled filter module (HCFM) implemented using substrate integrated waveguide (SIW). Compared ...
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 ...
Design of a secure privacy preserving cloud based framework for sharing electronic health data
(2020-01-01)
There exists a need for sharing user health data, especially with institutes for research purposes, in a secure fashion. This is especially true in the case of a system that includes a third party storage service, such as ...
Design and development of a novel DC/DC bidirectional converter with dual solar/PV-based snow removal and EV charging functionality
(2022-02-01)
Different factors affect solar photovoltaic (PV) systems by decreasing input energy and reducing the conversion efficiency of the system. One of these factors is the effect of snow cover on PV panels, a subject lacking ...
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 ...
Tissue classification from electric impedance spectroscopy for haptic feedback in minimally invasive surgery
(2020-10-01)
Haptic feedback is missing in teleoperated surgical robots creating a sensory disconnect from the surgeon and their patient. This thesis proposes using the electric impedance of tissues, instead of the traditionally used ...
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 ...
Investigation of selective optical properties of Si/SiO2 nanostructures generated by pulsed laser ablation as-deposited and post-treated
(2020-05-01)
Silicon and its derivatives like SiO2 are essential materials for industrial applications such as semiconductors, optoelectronics, and telecommunication. Optical properties of a large group of silicon/silica nanofibrous ...
Predicted safety & excavation progress algorithms for autonomous excavation
(2020-08-01)
Excavation is the process of moving earth and is considered to be one of the primary projects in the construction industry. The adoption of various cutting-edge technologies for full automation can be a solution to the ...
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 ...