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Machine learning
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Workshop on Assurance for Autonomous Systems for Aviation
Virtual-Reality-Simulation (VRS) (Teilprojekt 7). BMBF-Verbundprojekt DeepC
Using Multimodal Input for Autonomous Decision Making for Unmanned Systems
Trusted Autonomy: Autonomy and Autonomous Systems at NASA LaRC's Autonomy Incubator
Tracking and Characterization of Resident Space Objects (RSO) Using COTS Star Trackers
Towards Autonomous Lunar Resource Excavation via Deep Reinforcement Learning
Technology Considerations for Inclusion of Survivability in MDAO
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
System Qualities (SQs) Ontology, Tradespace and Affordability (SQOTA), Phase 6: 2017- 2018
Sustainable Aviation Operations: Reducing the Impact of Aviation on our Planet
Survey of Planning and Scheduling Research at the NASA Ames Research Center
Subsumption-Based Architecture for Autonomous Movement Planning for Planetary Rovers
SocialMedia2Traffic : Abschlussbericht
Smart Event Forecast for Seaports (SMECS) : Schlussbericht : Projektlaufzeit: 01.09.2017-29.02.2020
Smart Event Forecast for Seaports (SMECS) : Schlussbericht : Projektlaufzeit: 01.09.2017-29.02.2020
Research Institute for Advanced Computer Science: Annual Report October 1998 through September 1999
Reinforcement Learning Approach to Flight Control Allocation with Distributed Electric Propulsion
Reinforcement Learning Approach to Flight Control Allocation with Distributed Electric Propulsion
Recursive Multi-step Machine Learning Approach for Airport Configuration Prediction
Recursive Multi-step Machine Learning Approach for Airport Configuration Prediction
Quality of Candidate Flights and Submission Prediction in Collaborative Digital Departure Reroute
Psychophysiological Sensing and State Classification for Attention Management in Commercial Aviation
Projekt IRiS - Gesamtabschlussbericht : Förderprogramm: IHATEC - Innovative Hafentechnologien
Projekt IRiS - Gesamtabschlussbericht : Förderprogramm: IHATEC - Innovative Hafentechnologien
Problems in Machine Learning-Based Systems for Safety-Critical Avionics
Presound: UAV Diagnostic System Enabled by Vibration-Based Machine Learning
Prediction of Weather Impacted Airport Capacity using Ensemble Learning
Prediction of Pushback Times and Ramp Taxi Times for Departures at Charlotte Airport
Prediction of Pushback Times and Ramp Taxi Times for Departures at Charlotte Airport
Predicting Airport Runway Configurations for Decision-Support Using Supervised Learning
Passive Mapping and Intermittent Exploration for Mobile Robots
On-Board Off-Board Framework for Online Replanning: Applied to UAVs in Urban Environments
No One at the Controls: The Legal Implications of Fully Autonomous Targeting
Neurocognitive Approach to Robotic Cause-Effect Reasoning During Learning
NASA Framework for the Ethical Use of Artificial Intelligence (AI)
NASA Framework for the Ethical Use of Artificial Intelligence (AI)