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ADVANCED MACHINE LEARNING EMPOWERING MICROWAVE SENSORS WITH GENERATIVE/PREDICTIVE CAPABILITIES
DownloadFall 2023
This dissertation, addressing the critical shortage of microwave planar sensors, embarks on a journey to advance noncontact sensing applications, with a particular emphasis on the application of machine learning techniques to address existing problems. It pioneers the introduction of a unique...
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Fall 2022
With the rapid development of smart grids, the detection of anomalies is essential to improve the quality and security protection of the grid. The identification of anomalies not only saves valuable time but also reduces maintenance costs. Due to the increasing deployment of distributed energy...
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Spring 2024
Since the advent of distributed ledger technologies, they have provided diverse opportunities in a wide range of application domains. With the transition towards a more decentralized and dynamic system, the significance of blockchain-enabled smart contracts has grown in prominence. Despite their...
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Fall 2018
The objective of this work is to design a scheme to control the power flow of a hybrid renewable energy system with multiple renewable energy sources with the focus on solar energy and wind energy and multiple energy storage systems. The use of energy storage is necessary due to the intermittency...
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Fall 2021
Weather-related power outages in the distribution grid have a significant impact on the grid reliability - they impose a high cost on power utilities and considerable inconvenience to customers. Improvements in monitoring and data collection practices, as well as advanced data processing methods,...
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Spring 2021
Microwave planar resonators have been widely used in material characterization, environmental monitoring, proximity sensing, mechanical motion detection, etc. In general, non-contact sensing, real-time measurement, and CMOS compatibility, makes them interesting for chemical sensing, especially...