A 2D Fully Convolutional Neural Network for Nearshore And Surf-Zone Bathymetry Inversion from Synthetic Imagery of Surf-Zone using the Model Celeris (English)
- New search for: Collins, Adam
- New search for: Brodie, Katherine L.
- New search for: Bak, Spicer
- New search for: Hesser, Tyler
- New search for: Farthing, Matthew W.
- New search for: Gamble, Douglas W.
- New search for: Long, Joseph W.
- New search for: Collins, Adam
- New search for: Brodie, Katherine L.
- New search for: Bak, Spicer
- New search for: Hesser, Tyler
- New search for: Farthing, Matthew W.
- New search for: Gamble, Douglas W.
- New search for: Long, Joseph W.
In:
AAAI-MLPS 2020: Combining Artificial Intelligence and Machine Learning with Physical Sciences
;
2020
- Conference paper / Electronic Resource
-
Title:A 2D Fully Convolutional Neural Network for Nearshore And Surf-Zone Bathymetry Inversion from Synthetic Imagery of Surf-Zone using the Model Celeris
-
Contributors:Collins, Adam ( author ) / Brodie, Katherine L. ( author ) / Bak, Spicer ( author ) / Hesser, Tyler ( author ) / Farthing, Matthew W. ( author ) / Gamble, Douglas W. ( author ) / Long, Joseph W. ( author )
-
Conference:Combining Artificial Intelligence and Machine Learning with Physics Sciences ; 2020 ; Online
-
Published in:
-
Publisher:
- New search for: [RWTH Aachen]
-
Place of publication:[Aachen, Germany]
-
Publication date:2020
-
Type of media:Conference paper
-
Type of material:Electronic Resource
-
Language:English
-
Licence:
-
Source:
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
-
Preface: Combining Artificial Intelligence and Machine Learning with Physical SciencesLee, Jonghyun / Darve, Eric F. / Kitanidis, Peter K. / Farthing, Matthew W. / Hesser, Tyler et al. | 2020
- 2
-
A 2D Fully Convolutional Neural Network for Nearshore And Surf-Zone Bathymetry Inversion from Synthetic Imagery of Surf-Zone using the Model CelerisCollins, Adam / Brodie, Katherine L. / Bak, Spicer / Hesser, Tyler / Farthing, Matthew W. / Gamble, Douglas W. / Long, Joseph W. et al. | 2020
- 3
-
A Weighted Sparse-Input Neural Network Technique Applied to Identify Important Features for Vortex-Induced VibrationMa, Leixin / Resvanis, Themistocles / Vandiver, Kim et al. | 2020
- 4
-
Deep Learning for Climate Models of the Atlantic OceanNikolaev, Anton / Richter, Ingo / Sadowski, Peter et al. | 2020
- 5
-
Deep Sensing of Ocean Wave Heights with Synthetic Aperture RadarNikolaev, Anton / Richter, Ingo / Sadowski, Peter et al. | 2020
- 6
-
Enforcing Constraints for Time Series Prediction in Supervised, Unsupervised and Reinforcement LearningStinis, Panos et al. | 2020
- 7
-
Event-Triggered Reinforcement Learning; An Application to Buildings’ Micro-Climate ControlHosseinloo, Ashkan Haji / Dahleh, Munther et al. | 2020
- 8
-
Finding Multiple Solutions of ODEs with Neural NetworksGiovanni, Marco Di / Sondak, David / Protopapas, Pavlos / Brambilla, Marco et al. | 2020
- 9
-
Generalized Physics-Informed Learning through Language-Wide Differentiable ProgrammingRackauckas, Chris / Edelman, Alan / Fischer, Keno / Innes, Mike / Saba, Elliot / Shah, Viral B. / Tebbutt, Will et al. | 2020
- 10
-
GMLS-Nets: A Machine Learning Framework for Unstructured DataTrask, Nathaniel / Patel, Ravi / Atzberger, Paul / Gross, Ben et al. | 2020
- 11
-
Physics-Informed Machine Learning for Real-time Reservoir ManagementMudunuru, Maruti K. / O’Malley, Daniel / Srinivasan, Shriram / Hyman, Jeffrey D. / Sweeney, Matthew R. / Frash, Luke / Carey, Bill / Gross, Michael R. / Welch, Nathan J. / Karra, Satish et al. | 2020
- 12
-
Physics-Informed Spatiotemporal Deep Learning for Emulating Coupled Dynamical SystemsMehta, Anishi / Scott, Cory / Oyen, Diane / Panda, Nishant / Srinivasan, Gowri et al. | 2020
- 13
-
Continuous Representation of Molecules using Graph Variational AutoencoderTavakoli, Mohammadamin / Baldi, Pierre et al. | 2020
- 14
-
Data-Driven Inverse Modeling with Incomplete ObservationsXu, Kailai / Darve, Eric et al. | 2020
- 15
-
DeepXDE: A Deep Learning Library for Solving Differential EquationsLu, Lu / Meng, Xuhui / Mao, Zhiping / Karniadakis, George Em et al. | 2020
- 16
-
Nonlocal Physics-Informed Neural Networks - A Unified Theoretical and Computational Framework for Nonlocal ModelsD'Elia, Marta / Karniadakis, George E. / Pang, Guofei / Parks, Michael L. et al. | 2020
- 17
-
Permeability Prediction of Porous Media using Convolutional Neural Networks with Physical PropertiesYoon, Hongkyu / Melander, Darryl / Verzi, Stephen J. et al. | 2020
- 18
-
Surfzone Topography-informed Deep Learning Techniques to Nearshore Bathymetry with Sparse MeasurementsQian, Yizhou / Ghorbanidehno, Hojat / Farthing, Matthew / Hesser, Ty / Kitanidis, Peter K. / Darve, Eric F. et al. | 2020