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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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Enhancing the Performance of Smart Grids via Applying Machine Learning Methods to Smart Meter Data
DownloadFall 2019
Conventional distribution systems need to undergo several updates to be able to meet modern energy requirements. While conventional grids have been able to satisfy the objectives they were designed for, lack of sensors and powerful communication systems, primitive control and management methods,...
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Finding Interesting Moments in Videos: Audio-visual and Unsupervised Video Highlight Detection
DownloadSpring 2022
Video is the dominant medium through which we consume information. Due to the sheer volume of video content, it is of great interest in the research community to develop automated ways to make this content manageable. In video highlight detection, our goal is to automatically find interesting...
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Fall 2018
The demand for rehabilitation services has increased in recent years due to population aging. Due to the limitations of therapists’ time and healthcare resources, robot-assisted therapy is becoming an appealing, powerful and economical solution. In this thesis, and in order to reach a long term...
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Spring 2023
Knowledge graphs are data storage structures that rely on principles from graph theory to represent information. Specifically, facts are stored as triples which bring together two entities via a predicate. In a graphical context, these entities are analogous to nodes, and the relations between...
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Fall 2018
Cognitive radio and energy-harvesting technologies improve the efficiency of spectrum use and energy use in communication networks. However, due to the randomness and dynamics of spectral and energy resources, wireless nodes must intelligently adjust their operating configurations (radio...
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Sensor-Based In-situ Process Control of Robotic Wire Arc Additive Manufacturing Integrated with Machine Learning
DownloadSpring 2023
Wire Arc Additive Manufacturing (WAAM) is a manufacturing technology that has the capability to fabricate a large-scale metallic part in a layer-by-layer fashion. It is receiving significant attention from many industries as a viable method of manufacturing as it has a high deposition rate,...