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Now showing items 31-40 of 92
Underwater Image Enhancement Using Domain-Adversarial Learning
(2019-04-16)
Clean underwater images have a variety of applications in marine research, autonomous underwater vehicles and so on. The task of enhancing underwater images is especially difficult because of the diversity with which they ...
Distributed IC Power Delivery: Stability-Constrained Design Optimization and Workload-Aware Power Management
(2019-01-02)
ABSTRACT
Power delivery presents key design challenges in today’s systems ranging from high performance micro-processors to mobile systems-on-a-chips (SoCs). A robust power delivery system is essential to ensure reliable ...
Automated Detection of Memory Performance Bugs in Microprocessors
(2020-07-23)
Detection of memory performance bugs in microprocessors using a 2-phase automated method. The first phase is a machine-learning based performance predictor while the second phase is a bug detection scheme using a binary ...
Perception and Action: From Sensorimotor Learning to Intelligent Tool-Use Behavior
(2019-10-08)
Perception and action have a close functional relationship. While perception provides the means for actions, actions generate more opportunities for perception. This relationship between perception and action, between the ...
Prostate Cancer Epigenetic Mechanism Study and Biomarker Discovery Using Bioinformatics Approaches
(2021-06-10)
Most screening-detected prostate cancer (PCa) is indolent and not lethal. Biomarkers that can predict aggressive diseases independent of clinical features are needed to improve risk stratification of localized PCa patients ...
Classification and Localization of Fracture-hit Events in Low-frequency DAS Strain Rate with Convolutional Neural Networks
(2021-06-04)
Distributed acoustic sensing (DAS) has been used in the oil and gas industry as an advanced technology for surveillance and diagnostics. Operators use DAS to monitor hydraulic fracturing activities, to examine well stimulation ...
Applications of Data-driven Classification and Connectivity Quantification Methods in High-resolution Image Analysis
(2021-04-29)
Microstructure of a material determines the transport, chemical and mechanical properties. Geological materials and geomaterials are imaged using microscopy tools. The microscopy images are analyzed to better understand ...
Essays on Applying Quantitative Methods in Financial Markets and Vulnerability Identification
(2020-03-27)
Quantitative methods, including Econometrics, Stochastic Simulation and Classifications with Statistical Machine Learning, are widely used in financial markets and applied economics studies. In this dissertation I investigate ...
Automating Voltage Control of the Electric Transmission Grid with PowerWorld and Deep Reinforcement Learning
(2020-03-10)
This thesis applies a subset of machine learning known as deep reinforcement learning (DRL) to the problem of steady state voltage control in the electric power transmission system. In support of this work, both a new ...
MRI Susceptibility Mapping of Brachytherapy Seeds with Deep Learning
(2021-12-06)
Contrast is an essential element of magnetic resonance imaging. Good contrast in an MR image is necessary to correctly differentiate between different tissue structures and make accurate diagnoses. However, objects with ...