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Visibility Estimation from Camera Images Using Deep Learning
(2023-08-04)
Atmospheric visibility is an important and complex meteorological variable that directly affects safe and reliable transportation. Specifically, declining visibility can pose an increased risk to automotive, aviation, and ...
Using Deep Learning to Improve Prediction and Understanding of High-impact Weather
(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 ...