Matthew W. Farthing - researchr alias

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Viewing Publication 1 - 14 from 14

2023

Automated Extraction of a Depth-Defined Wave Runup Time Series From Lidar Data Using Deep LearningAdam Collins, Annika O'Dea, Katherine L. Brodie, Andrew Spicer Bak, Tyler J. Hesser, Nicholas J. Spore, Matthew W. Farthing. tgrs, 61:1-13, 2023. [doi]

2021

Intrinsic finite element method for advection-diffusion-reaction equations on surfacesElena Bachini, Matthew W. Farthing, Mario Putti. jcphy, 424:109827, 2021. [doi]

Development of a Fully Convolutional Neural Network to Derive Surf-Zone Bathymetry from Close-Range Imagery of Waves in Duck, NCAdam Collins, Matthew P. Geheran, Tyler J. Hesser, Andrew Spicer Bak, Katherine L. Brodie, Matthew W. Farthing. remotesensing, 13(23):4907, 2021. [doi]

Neural Ordinary Differential Equations for Data-Driven Reduced Order Modeling of Environmental HydrodynamicsSourav Dutta, Peter Rivera-Casillas, Matthew W. Farthing. aaaiss 2021: [doi]

A greedy non-intrusive reduced order model for shallow water equationsSourav Dutta, Matthew W. Farthing, Emma Perracchione, Gaurav Savant, Mario Putti. jcphy, 439:110378, 2021. [doi]

pyNIROM - A suite of python modules for non-intrusive reduced order modeling of time-dependent problemsSourav Dutta, Peter Rivera-Casillas, Orie M. Cecil, Matthew W. Farthing. simpa, 10:100129, 2021. [doi]

Deep Learning-based Fast Solver of the Shallow Water EquationsMojtaba Forghani, Yizhou Qian, Jonghyun Lee, Matthew W. Farthing, Tyler Hesser, Peter K. Kitanidis, Eric Darve. aaaiss 2021: [doi]

PrefaceJonghyun Lee, Eric F. Darve, Peter K. Kitanidis, Matthew W. Farthing, Tyler Hesser. aaaiss 2021: [doi]

2020

A 2D Fully Convolutional Neural Network for Nearshore And Surf-Zone Bathymetry Inversion from Synthetic Imagery of Surf-Zone using the Model CelerisAdam Collins, Katherine L. Brodie, Spicer Bak, Tyler Hesser, Matthew W. Farthing, Douglas W. Gamble, Joseph W. Long. aaaiss 2020: [doi]

Bathymetric Inversion and Uncertainty Estimation from Synthetic Surf-Zone Imagery with Machine LearningAdam Collins, Katherine L. Brodie, Spicer Bak, Tyler Hesser, Matthew W. Farthing, Jonghyun Lee, Joseph W. Long. remotesensing, 12(20):3364, 2020. [doi]

PrefaceJonghyun Lee, Eric F. Darve, Peter K. Kitanidis, Matthew W. Farthing, Tyler Hesser. aaaiss 2020: [doi]

Surfzone Topography-informed Deep Learning Techniques to Nearshore Bathymetry with Sparse MeasurementsYizhou Qian, Hojat Ghorbanidehno, Matthew W. Farthing, Ty Hesser, Peter K. Kitanidis, Eric F. Darve. aaaiss 2020: [doi]

2018

Well-Balanced Second-Order Finite Element Approximation of the Shallow Water Equations with FrictionJean-Luc Guermond, Manuel Quezada de Luna, Bojan Popov, Christopher E. Kees, Matthew W. Farthing. siamsc, 40(6), 2018. [doi]

2016

POD-based model reduction for stabilized finite element approximations of shallow water flowsAlexander Lozovskiy, Matthew W. Farthing, Chris E. Kees, Eduardo Gildin. jcam, 302:50-70, 2016. [doi]

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