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]
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