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Machine learning
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keywords:("Machine learning")
Applying Machine Learning Tools for Runway Configuration Decision Support
Precision Mars Entry Navigation with Atmospheric Density Adaptation via Neural Networks
Reinforcement learning-based autonomous generation technology for product oil tanker loading schemes
Development of a Language Model for Named-Entity-Recognition in Aerospace Requirements
Learn more about NASA Langley’s Crew Systems Capabilities!
Automated Spoken-to-Coded Pilot Weather Reports in General Aviation
On-Board Off-Board Framework for Online Replanning: Applied to UAVs in Urban Environments
An On-Board Off-Board Framework for Online Replanning: Applied to UAVs in Urban Environments
Framework for Offline Data-Driven Aircraft Fault Diagnosis
Neural Network Classification-Regression Method Applied to Approach Speed Control Strategy
Introduction to the Virtual Collection on Machine Learning in Aerospace
Machine Learning Methods to Improve the Accuracy of Industrial Robots
Robust Multiagent Reinforcement Learning toward Coordinated Decision-Making of Automated Vehicles
A Multiagency Long Short-Term Model Beamforming Prediction Model for Cellular Vehicle to Everything
Reinforcement Learning Approach to Flight Control Allocation with Distributed Electric Propulsion
Quality of Candidate Flights and Submission Prediction in Collaborative Digital Departure Reroute
Data-Driven Approach Toward Airspace Design for Regional Air Mobility Operations in Korea
Reinforcement Learning Approach to Flight Control Allocation with Distributed Electric Propulsion
Review of Intelligent Algorithms for Autonomous Path Planning of UAVs
A New Optimal Design of Stable Feedback Control of Two-Wheel System Based on Reinforcement Learning
Optimizing inventory control through a data-driven and model-independent framework
Model-Free Intelligent Control for Antilock Braking Systems on Rough Roads
Natural-Language-Processing-Enabled Quantitative Risk Analysis of Aerial Wildfire Operations
Adversarial Learning Improves Vision-Based Perception from Drones with Imbalanced Datasets
Collision Avoidance in Collaborative Robotics Based on Real-Time Skeleton Tracking
Benchmarking Deep Learning Models on Myriad and Snapdragon Processors for Space Applications
The Path to Safe Machine Learning for Automotive Applications
Identification of Uncertain Parameter in Flight Vehicle Using Physics-Informed Deep Learning
Extending the NOEL-V Platform with a RISC-V Vector Processor for Space Applications
Data-Driven Departure Flight Time Prediction Based on Feature Construction and Ensemble Learning
Transport Category Aircraft Fuselage Integrated Design
Data-Driven Hazard Avoidance Landing of Parafoil: A Deep Reinforcement Learning Approach
An Auto-Encoder Based TinyML Approach for Real-Time Anomaly Detection
Machine Learning Model for Spark-Assisted Gasoline Compression Ignition Engine