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Using Machine Learning to Improve the NSSL's Warn-On-Forecast System's Prediction of Thunderstorm Location
(2023-08-04)
Deep learning (DL) models have become immensely popular in recent years, with many models creating accurate and high-skill predictions for a wide range of atmospheric phenomena. Using DL models for predicting convection ...
Development of Deep Learning Methodologies for Modeling Navigational Features in Continuous Spaces
(2021-12)
This thesis proposes generalized methodologies to model navigational features of continuous spaces using deep learning architectural approaches. Navigational features impact how an entity can effectively travel within a ...
Do We Really Need Deep Learning?: A Study on Play Identification using SEM Images
(2021-05-14)
Deep learning has become an integral part of image classification and segmentation, especially with the use of convolutional neural networks (CNN) and their variants. Although computationally expensive and time-consuming, ...
Real-Time Gesture Recognition with Mini Drones
(2018-12-14)
Drones are being used worldwide to perform many functions - medical deliveries, video recording, and surveying to name a few. Their growing presence is paralleled by the growing world of Machine Learning (ML). This thesis ...
Deep Learning for Weak Target Detection in Range-Doppler Data
(2022-05)
A consistent issue for detectors in radar systems is how to correctly distinguish target signals from random noise. This is especially true for weak targets with low signal-to-noise ratios (SNRs). Traditional target detection ...