Browsing by Subject "Machine Learning"
Now showing items 21-40 of 58
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FRAC HIT ANALYSIS IN SHALES: WOODFORD, MERAMEC AND WOLFCAMP FORMATIONS
(2020-07)Frac hit was initially coined to refer to the phenomenon when an infill well fracture interacts with the adjacent well during the hydraulic fracturing process. But, over the years, its use has been extended to any type of ... -
Gridded Hail Nowcasting using UNets, Lightning Observations, and the Warn-on-Forecast System
(2023-08-04)Hailstorms cause around 1 billion dollars in damage across the United States each year. At least a portion of this cost is associated with the inability to protect personal assets from damage in the short window of time ... -
Imbalanced Learning with Parametric Linear Programming Support Vector Machine For Weather Data Application
(2019-05-10)Learning from imbalanced data sets is one of the aspects of predictive modeling and machine learning that has taken a lot of attention in the last decade. Multiple research projects have been carried out to adjust the ... -
Interpretable deep neural networks for more accurate predictive genomics and genome-wide association studies
(2023-05)Genome-wide association studies (GWAS) and predictive genomics have become increasingly important in genetics research over the past decade. GWAS involves the analysis of the entire genome of a large group of individuals ... -
Investigating technologies and techniques for flood monitoring and detecting
(2022-08-04)The need for a flood alerting and forecasting system is becoming ever more critical, especially given the effects of increasing severe weather over the last ten years. Flash floods, particularly, are deadly because of the ... -
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 ... -
Machine Learning Algorithms and Applications in Investment Analysis
(2016-12-16)We can simplify investment analysis as filtering out speculative stocks, bonds, derivatives and other financial products. This area is very challenging yet extremely critical since individual investors’, large institutions’ ... -
Machine learning for classifying biological radar echoes with S-band polarimetric radar
(2023-12-15)The S-band WSR-88D weather radar is sensitive enough to observe biological scatterers like birds and insects. However, their non-spherical shapes and frequent collocation in the radar resolution volume create challenges ... -
Machine Learning for Impact-Based Flash Flood Warnings: Hazard Report Operationalization for Impact Predictions
(2023-12-15)Floods account for approximately one third of all global geophysical hazards, and flash floods allow for extremely short lead times for warnings to be emitted. Flash flood warnings are weather-related alerts which serve ... -
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 ... -
MISSISSIPPIAN MERAMEC LITHOLOGIES AND PETROPHYSICAL PROPERTY VARIABILITY, STACK TREND, ANADARKO BASIN, OKLAHOMA
(2019-05)Mississippian Meramec reservoirs of the STACK (Sooner Trend in the Anadarko [Basin] in Canadian and Kingfisher counties) play are comprised of silty limestones, calcareous siltstones, argillaceous-calcareous siltstones, ... -
National Performance Management Research Dataset (NPMRDS) - Speed Validation for Traffic Performance Measures (FHWA-OK-17-02)
(Oct-17)This report presents research detailing the use of the first version of the National Performance Management Research Data Set (NPMRDS v.1) comprised of highway vehicle travel times used for computing performance measurements ... -
NURTURING PROMOTES THE EVOLUTION OF LEARNING IN CHANGING ENVIRONMENTS
(2015-08-14)An agent may interact with its environment and learn complex tasks based on evaluative feedback through a process known as reinforcement learning. Reinforcement learning requires exploration of unfamiliar situations, ... -
Predicting wine quality and/or taste through the use of a latent ODE-RNN Neural Net
(2019-12-13)It is common for recommendation systems to use clustering techniques for finding similar products for the downstream user. These models do not always incorporate time as a variable when recommending an item. If our ... -
Promoting Speciation Through Variable Dominance in Genetic Algorithms
(2020-05)Genetic algorithms are a class of search algorithms that have been around since the 1970s. Despite their age, genetic algorithms still see a great deal of use in various applications and so many efforts have gone into ... -
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 ... -
Real-Time Gesture Recognition with Mini Drones
(2018-12-14)Drones are being used worldwide to perform many functions - medical deliveries, video recording, and surveying to name a few. Their growing presence is paralleled by the growing world of Machine Learning (ML). This thesis ... -
Reinforcement Learning for Cognitive Phased Array Radar Surveillance
(2023-05-12)The proliferation of phased array radar (PAR) has significantly increased the flexibility of radar systems, making it possible to use a single radar to perform a variety of operational modes such as surveillance and tracking ... -
RESERVOIR CHARACTERIZATION AND MODELING OF A CRETACEOUS TRIPLE POROSITY CARBONATE RESERVOIR CONTRIBUTION OF PORE TYPES TO HYDROCARBON PORE VOLUME AND PRODUCTION, CAMPECHE SOUND, GULF OF MEXICO
(2019-05-10)Campeche Sound, located southeast of the continental shelf in the Gulf of Mexico. represents about 80% of the national hydrocarbons production of Mexico, and comprises several giant oilfields, including Cantarell and ... -
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. ...