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Data Engineering in Aerospace Systems Design & Forecasting
(2016-05-13)
Although engineers spend the majority of their time finding, managing, and transforming data, the process of how to handle data remains under-educated & under-researched. The alignment of engineering education & proficiency ...
History-matching and Forecasting of Three Unconventional Oil and Gas Reservoirs Using Decline Analyses and Type Curves
(2019-05-10)
Reservoir modeling of shale gas and tight oil presents numerous challenges due to complicated transport mechanisms and the existence of fracture networks. Even then, oil and gas companies have not slowed down on shale ...
A HYBRID SYSTEMS MODEL FOR EMERGENCY DEPARTMENT BOARDING MANAGEMENT
(2022-08-04)
The purpose of this research is to examine methods for minimizing the influence of boarding on emergency department (ED) crowding outcomes. To accomplish this purpose, this research uses a hybrid systems model framework ...
Improving Probabilistic Quantitative Precipitation Forecasting Using Machine Learning and Statistical Postprocessing Methods
(2021-12-09)
The objective of this research is to address the limitations inherent in conventional statistical postprocessing schemes to generate probabilistic quantitative precipitation forecasts (PQPFs) and improve postprocessed ...
Comprehensive neural network forecasting system for ground level ozone in multiple regions
(2015-12-07)
A comprehensive neural network daily maximum 8 hour-ozone forecasting model was developed based on five years of data (2010-2014) collected from 50 monitoring sites from the Dallas Fort Worth, Houston-Galveston-Brazoria, ...
Fail to Plan, Plan to Fail: The Effects of Forecasting Valence on Creativity
(2023-08-16)
Forecasting is a central component of evaluating creative ideas for their success. Little is known, however, about variables that influence the effectiveness of predicting outcomes while evaluating creative ideas. Previous ...