Browsing by Author "Fagg, Andrew"
Now showing items 21-24 of 24
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Storm-scale Ensemble-based Severe Weather Guidance: Development of an Object-based Verification Framework and Applications of Machine Learning
Flora, Montgomery (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 ... -
Thyroid nodule ultrasound image analysis and feature extraction
Dong, Xiaomeng (2018-05-11)In this study, I introduce a novel workflow for extracting useful features in thyroid ultrasound images using deep learning and machine learning methods. The methodology combines Convolutional Auto-Encoder, Local Binary ... -
Using Deep Learning to Improve Prediction and Understanding of High-impact Weather
Lagerquist, Ryan (2020-05)This dissertation describes the application of convolutional neural networks (CNN), a type of deep-learning method, to high-impact weather. CNNs are specially designed to learn directly from spatial grids, which improves ... -
Using Novelty Seeking Reward Evolution Strategies to Train Generative Adversarial Networks
Jabr, Khaled (2018-12-14)Generative Adversarial Networks (GANs) are a subclass of deep generative models that aim to implicitly learn to model a data distribution. While GANs have gained wide research attention, and achieved much success, when ...