Issued Patents All Time
Showing 1–24 of 24 patents
| Patent # | Title | Co-Inventors | Date |
|---|---|---|---|
| 12169776 | Superresolution and consistency constraints to scale up deep learning models | Ambrish Rawat, Sean A. McKenna, Mathieu Sinn | 2024-12-17 |
| 12124961 | System for continuous update of advection-diffusion models with adversarial networks | Ambrish Rawat, Sean A. McKenna, Mathieu Sinn | 2024-10-22 |
| 11956138 | Automated detection of network anomalies and generation of optimized anomaly-alleviating incentives | Amadou Ba, Albert Akhriev, Paulito Palmes | 2024-04-09 |
| 11915162 | Alert system with machine learning and fuzzy logic | Campbell D. Watson, Eli M. Dow, Frank Liu, Ernesto Arandia | 2024-02-27 |
| 11802537 | Methods and systems for wave energy generation prediction and optimization | Bei Chen, Sean A. McKenna | 2023-10-31 |
| 11645356 | Deep learning for partial differential equation (PDE) based models | Philipp Haehnel, Jakub Marecek, Julien Monteil | 2023-05-09 |
| 11614560 | Integration of physical sensors in a data assimilation framework | Ernesto Arandia, Eli M. Dow, Frank Liu, Campbell D. Watson | 2023-03-28 |
| 11263060 | Dynamic distribution of loads across heterogeneous computing structures in computational rendering | Emanuele Ragnoli, Albert Akhriev | 2022-03-01 |
| 11164266 | Protection of water providing entities from loss due to environmental events | Ernesto Arandia, Emanuele Ragnoli, Seshu Tirupathi | 2021-11-02 |
| 11131789 | Ice formation and ice depth estimation system | Ernesto Arandia, Emanuele Ragnoli, Seshu Tirupathi | 2021-09-28 |
| 11119250 | Dynamic adaption of vessel trajectory using machine learning models | Emanuele Ragnoli, Callum Sutherland | 2021-09-14 |
| 11080141 | Automatic restarting and reconfiguration of physics-based models in event of model failure | Ernesto Arandia, Eli M. Dow, Frank Liu, Campbell D. Watson | 2021-08-03 |
| 10929578 | Minimizing uncertainty envelopes in trajectories of evolving ensemble members | Emanuele Ragnoli, Frank Suits, Sergiy Zhuk | 2021-02-23 |
| 10839113 | Combining feature selection and surrogate models for the forecast of material concentration in fluids | Ernesto Arandia, Sean A. McKenna, Emanuele Ragnoli | 2020-11-17 |
| 10635763 | Performing Lagrangian particle tracking with adaptive sampling to provide a user-defined level of performance | Francesco Fusco, Emanuele Ragnoli | 2020-04-28 |
| 10552537 | Cognitive initialization of large-scale advection-diffusion models | Charles A. Jochim, Emanuele Ragnoli | 2020-02-04 |
| 10331814 | Forecast-based refinement and load balancing for prediction of advection-diffusion processes | Massimiliano Meneghin, Noreen O'Brien, Emanuele Ragnoli | 2019-06-25 |
| 10169332 | Data analysis for automated coupling of simulation models | Charles A. Jochim, Ying Liu, Campbell D. Watson | 2019-01-01 |
| 10148303 | Methods and systems for aquatic infrastructure recharge and data transfer | Michael BARRY, Mark Purcell, Emanuele Ragnoli | 2018-12-04 |
| 10043371 | Aquatic epidemic alert methods and systems | Francesco Fusco, Sean A. McKenna, Emanuele Ragnoli | 2018-08-07 |
| 9881105 | Minimizing uncertainty envelopes in trajectories of evolving ensemble members | Emanuele Ragnoli, Frank Suits, Sergiy Zhuk | 2018-01-30 |
| 9619594 | Configuration of large scale advection diffusion models with predetermined rules | Eli M. Dow, Ying Liu, Emanuele Ragnoli | 2017-04-11 |
| 9558554 | Defining basis function requirements for image reconstruction | Sean A. McKenna, Emanuele Ragnoli | 2017-01-31 |
| 9514256 | Method and system for modelling turbulent flows in an advection-diffusion process | Harry R. Kolar, Noreen O'Brien, Emanuele Ragnoli | 2016-12-06 |