| A DDDAS Protocol for Real-Time Large-Scale UAS Flight Coordination
|
2020 |
Sacharny, David |
| Interpretable Deep Attention Model for Multivariate Time Series Prediction in Building Energy Systems
|
2020 |
Gangopadhyay, Tryambak |
| Active Search Methods to Predict Material Failure Under Intermittent Loading in the Serebrinksy-Ortiz Fatigue Model
|
2020 |
Guth, Stephen |
| Spectral Super Resolution with DCT Decomposition and Deep Residual Learning
|
2020 |
Puttagunta, Raghunath Sai |
| Reachability Analysis Based Tracking: Applications to Non-cooperative Space Object Tracking
|
2020 |
Hall, Zach |
| Improving Prediction Confidence in Learning-Enabled Autonomous Systems
|
2020 |
Boursinos, Dimitrios |
| Dynamic Data-Driven Formal Progress Envelopes for Distributed Algorithms
|
2020 |
Paul, Saswata |
| Dynamic Sensor Processing for Securing Unmanned Vehicles
|
2020 |
Quinonez, Raul |
| Data-Based Defense-in-Depth of Critical Systems
|
2020 |
Pantopoulou, Styliani |
| An On-Demand Weather Avoidance System for Small Aircraft Flight Path Routing
|
2020 |
Lyons, Eric |
| Physics-Driven Machine Learning for Time-Optimal Path Planning in Stochastic Dynamic Flows
|
2020 |
Chowdhury, Rohit |
| Semi-supervised Visual Tracking Based on Variational Siamese Network
|
2020 |
Xu, Liang |
| Dynamic, Data-Driven Hyperspectral Image Classification on Resource-Constrained Platforms
|
2020 |
Pan, Lei |
| A Hardware Testbed for Dynamic Data-Driven Aerospace Digital Twins
|
2020 |
Salinger, Stefanie J. |
| Dynamic Data-Driven Self-healing Application for Phasor Measurement Unit Networks
|
2020 |
Qu, Yanfeng |
| Uncertainty Analysis of Self-healed Composites with Machine Learning as Part of DDDAS
|
2020 |
Mulani, Sameer B. |
| Machine Learning Algorithms for Improved Thermospheric Density Modeling
|
2020 |
Turner, Herbert |
| Dynamic Data-Driven Distribution Tracking of Nanoparticle Morphology
|
2020 |
Park, Chiwoo |
| Future Direction of DDDAS/InfoSymbiotics and Collaborations with Related Initiatives
|
2020 |
Blasch, Erik |
| Revisiting the Top Ten Ways that DDDAS Can Save the World with an Update in the BioInfoSciences Area and on the Energy Bridge
|
2020 |
Wang, Shiyan |
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