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Tracking and Characterization of Resident Space Objects (RSO) Using COTS Star Trackers
Towards the True Hybrid: Physics-Informed Trainable Models for Prognostics and Health Management
Towards Autonomous Lunar Resource Excavation via Deep Reinforcement Learning
Towards Autonomous Lunar Resource Excavation via Deep Reinforcement Learning
Towards Assurance for Safety-Critical, Machine Learning-enabled Aviation Systems
Taxi Time Prediction at Charlotte Airport Using Fast-Time Simulation and Machine Learning Techniques
Taxi-Out Time Prediction for Departures at Charlotte Airport Using Machine Learning Techniques
Taxi-Out Time Prediction for Departures at Charlotte Airport Using Machine Learning Techniques
System Qualities (SQs) Ontology, Tradespace and Affordability (SQOTA), Phase 6: 2017- 2018
Survey of learning control systems for space vehicle applications.