Tumor spheroid elasticity estimation using mechano-microscopy combined with a conditional generative adversarial network KY Foo, B Shaddy, J Murgoitio-Esandi, MS Hepburn, J Li, A Mowla, ... Computer Methods and Programs in Biomedicine 255, 108362, 2024 | 4 | 2024 |
Generative Algorithms for Fusion of Physics-Based Wildfire Spread Models with Satellite Data for Initializing Wildfire Forecasts B Shaddy, D Ray, A Farguell, V Calaza, J Mandel, J Haley, K Hilburn, ... Artificial Intelligence for the Earth Systems, American Meteorological Society, 2024 | 4 | 2024 |
A Fuel Moisture Model for WRF-SFIRE from HRRR and RAWS Data by a Physics-Initialized Recurrent Neural Network J Mandel, J Hirschi, A Kochanski, A Farguell, DV Mallia, B Shaddy, ... 104th AMS Annual Meeting, 2024 | | 2024 |
Dispersion and fluctuation of wind-driven sea ice: discrete element simulations and continuum theory B Rallabandi, B Shaddy, PA Greaney AGU23, 2023 | | 2023 |
Transport of sea ice driven by fluctuating winds B Rallabandi, B Shaddy, PA Greaney Bulletin of the American Physical Society, 2023 | | 2023 |
Machine Learning for Fuel Moisture in Time and Space, Dead or Live J Mandel, J Hirschi, A Kochanski, AF Caus, J Haley, DV Mallia, B Shaddy, ... 35th Conference on Agricultural and Forest Meteorology/14th Fire and Forest …, 2023 | | 2023 |
Deep-Learning Based Fusion of Satellite Data with Physics-Based Models for Initializing Wildfire Forecast AA Oberai, B Shaddy, V Calaza, A Farguell, J Haley, K Hillburn, DV Mallia, ... 35th Conference on Agricultural and Forest Meteorology/14th Fire and Forest …, 2023 | | 2023 |
Building a Fuel Moisture Model for the Coupled Fire-Atmosphere Model WRF-SFIRE from Data: From Kalman Filters to Recurrent Neural Networks J Mandel, J Hirschi, AK Kochanski, A Farguell, J Haley, DV Mallia, ... arXiv preprint arXiv:2301.05427, 2023 | | 2023 |
Building a Fuel Moisture Model from Data: From Kalman Filters to Recurrent Neural Networks J Mandel, AK Kochanski, A Farguell, J Haley, B Shaddy, AA Oberai, ... 103rd AMS Annual Meeting, 2023 | | 2023 |
Deep-Learning Based Estimation of the Initial Atmospheric State for Wildfire Prediction B Shaddy, D Ray, I Asareh, A Farguell, J Haley, KA Hilburn, DV Mallia, ... 103rd AMS Annual Meeting, 2023 | | 2023 |
Velocity distributions of inelastically interacting ice floes driven by stochastic winds B Rallabandi, B Shaddy, PA Greaney APS March Meeting Abstracts 2023, Q18. 014, 2023 | | 2023 |
Sea Ice Dispersion Driven by Fluctuating Wind and Ocean Currents BC Shaddy | | 2021 |
Non-Gaussian statistics of inelastically interacting ice floes B Rallabandi, B Shaddy APS Division of Fluid Dynamics Meeting Abstracts, F30. 004, 2021 | | 2021 |
Sea Ice Dispersion Driven by Fluctuating Wind and Ocean Currents B Shaddy, B Rallabandi APS Division of Fluid Dynamics Meeting Abstracts, U07. 005, 2020 | | 2020 |
Fusion of Physics-Based Wildfire Spread Models with Satellite Data using Generative Algorithms B Shaddy, D Ray, A Farguell, V Calaza, J Mandel, J Haley, K Hilburn, ... | | |