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Application of Machine Learning to Multiple Radar Missions and Operations
(2022-08-04)
This dissertation investigated the application of Machine Learning (ML) in multiple radar missions. With the increasing computational power and data availability, machine learning is becoming a convenient tool in developing ...
SEISMIC EXPRESSION OF IGNEOUS BODIES IN SEDIMENTARY BASINS AND THEIR IMPACT ON HYDROCARBON EXPLORATION: EXAMPLES FROM A COMPRESSIVE TECTONIC SETTING, TARANAKI BASIN, NEW ZEALAND
(2018-05-11)
The impact of Neogene volcanism on hydrocarbon exploration in the Taranaki Basin, New Zealand remains under-explored. To better understand these effects, I performed detailed seismic interpretation coupled with examination ...
Application of deep learning to optimize computer-aided-detection and diagnosis of medical images
(2023-12-15)
The field of medical imaging informatics has experienced significant advancements with the integration of artificial intelligence (AI), especially in tasks like detecting abnormalities in retinal fundus images. This ...
Protecting infrastructure networks from disinformation
(2023-05-12)
Massive amount of information shared on online platforms makes the verification of contents time-consuming.
Concern arises when the misleading or false information, called "disinformation", is exposed to many online ...
Machine learning for the subsurface characterization at core, well, and reservoir scales
(2020-05-08)
The development of machine learning techniques and the digitization of the subsurface geophysical/petrophysical measurements provides a new opportunity for the industries focusing on exploration and extraction of subsurface ...
Forecasting landslide events in eastern Oklahoma and western Arkansas using empirical methods and statistical machine learning methods
(2022-12)
Understanding the trend of landslide occurrence in eastern Oklahoma and western Arkansas is crucial to the human and social development of the region. Studies suggest rainfall is one of the major landslide triggering ...
Low-Cost Video-Oculography System for Eye Tracking
(2023-05-12)
The vestibular system plays a critical role in balancing and the vestibulo-ocular reflex (VOR), which aids in maintaining visual stability during head movements. Current methods of vestibular research rely on scleral coils ...
Respiratory Rate Estimation Using WiFi Channel State Information - A Machine Learning Approach
(2020)
Respiratory rate (RR) is an important vital sign for diagnosing and treating a number of medical conditions. Current respiration monitoring systems require that a special device is continuously attached to the human body. ...
Seismic attribute optimization with unsupervised machine learning techniques for deepwater seismic facies interpretation: users vs machines
(2020-07)
Machine learning (ML) has many applications within the geosciences, from predicting seismic facies, to automatic fault detection. A variety of machine learning algorithms are commonly employed, among these principal component ...
Assessing the Relation between Mud Components and Rheology for Loss Circulation Prevention Using Polymeric Gels: A Machine Learning Approach
(2021-03-03)
The traditional way to mitigate loss circulation in drilling operations is to use preventative and curative materials. However, it is difficult to quantify the amount of materials from every possible combination to produce ...