Thesiss

We live in an era of big data, brought on by the advent of automatic large-scale data acquisition in many industries. Machine learning can be used to take advantage of large data sets, predicting otherwise unknown information from them. The Minnesota County Well Index (CWI) data…

A language model (LM) is a probability distribution over all possible word sequences. It is a vital component of many natural language processing tasks, such as automatic speech recognition, statistical machine translation, information retrieval and so on. The art of language mo…

This study aims at developing and integrating a clinical decision support tool that involves accessing electronic health record data, preprocessing datasets from the electronic health record, and applying machine learning algorithms to the data to predict the possibility of a pa…

Fire regimes, or the pattern, frequency, and intensity of fires over a landscape, has begun to shift over much of the dry tropical regions of the world. The complexity of the pressure fire exerts on the landscape is intensified by the intimate relationship humans have cultivated…

This thesis demonstrates the application of five machine learning regression models for predicting half-hour ahead solar irradiance and wind speed and compares the models’ performances. Historical meteorological data from 2016 to 2019 are collected from the National Renewable En…

This dissertation is composed of three studies that evaluated the use of Landsat time series data for the detection of forest disturbance and estimation of the growing stock volume of the forest stands in the state of Georgia, United States.