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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 ...
Traffic accident analysis and prediction using the NPMRDS
(2020-12)
Traffic accidents are incidents caused by collisions between road vehicles or a vehicle with road infrastructures or pedestrians. Traffic accidents are a common cause for non-recurring traffic bottlenecks that, in turn, ...
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 ...
Comparison of Machine Learning and Statistical Approaches for Predicting Travel Times in the Oklahoma Highway System
(2020-12)
Traffic management systems play a vital role in supporting the smooth flow of traffic in road networks. By accurately predicting travel time, a traffic condition parameter that is extensively used in such systems, we can ...
A Constraint Driven Approach to Neural and Muscle Recruitment in Wrist Motor Tasks
(2020-07-30)
The transformation from visual stimulus to muscle recruitment is a non-
linear one: it must take into account the configuration of the body and the
lines of action of the muscles. The primary cortex plays a role in the ...
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 ...
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 ...
A Comparison of Machine Learning Gesture Recognition Techniques for Medication Adherence
(2020-04-27)
Every year, many poor health outcomes are the result of patients missing their medication, as prescribed by their healthcare providers. Guidance and reminders to these patients would result in better health outcomes and ...
Storm-scale Ensemble-based Severe Weather Guidance: Development of an Object-based Verification Framework and Applications of Machine Learning
(2020-12-18)
A goal of the National Oceanic and Atmospheric Administration (NOAA) Warn-on-Forecast (WoF) project is to provide rapidly updating probabilistic guidance to human forecasters for short-term (e.g., 0-3 h) severe weather ...