CEE 696-007: Deep Learning in Civil and Environmental Engineering and Earth Science

Fall Semester 2019

Presenter	Title (click to view slides)
Ahmed Afifi	Forecasting reference evapotranspiration (ETo) using Recurrent Neural Network (RNN) Long Short Term Memory (LSTM) [notebook]
Brytne Okuhata	Predicting hydraulic head levels with machine learning
Christopher Shuler	Investigation of deep neural networks for filling gaps in hydrologic datasets
Jinwen Xu	Transfer learning using MobileNet for rainbow image recognition [notebook]
Joana Rose Castillo	Forecasting Evapotranspiration with RNN-LSTM [notebook]
Kei Manabe	Detection of calls of Minke whales using deep learning [notebook]
Lauren Ward	Using Deep Learning to determine fault locking depths of earthquakes
Madeline McKenna	Using neural networks to identify polar jet blocking in atmospheric reanalysis data
Runze Yuan	Vehicle detection based on UAV video and Transfer Learning
Samuel Kei Takazawa	Explosion detection with noise [notebook]
Terrence J. Corrigan	Case Study Hurricane Harvey: How Neural Networks can help in forcasting rapid intensification in tropical cyclones [notebook]
Trista McKenzie	Using deep learning to understand drivers and dynamics of submarine groundwater discharge off the Kona Coast
Xi Song	Deep Learning solution for strength prediction of steel CHS X-joints
Xiaole Han	Crack detection on stabilized soil samples [notebook]
Young-Ho Seo	Upscaling hydraulic conductivity using CNN [notebook]