Precision Mars Entry Navigation with Atmospheric Density Adaptation via Neural Networks
Qualification of Avionic Software Based on Machine Learning: Challenges and Key Enabling Domains
Development of a Language Model for Named-Entity-Recognition in Aerospace Requirements
Automated Spoken-to-Coded Pilot Weather Reports in General Aviation
Framework for Offline Data-Driven Aircraft Fault Diagnosis
Neural Network Classification-Regression Method Applied to Approach Speed Control Strategy
Risk-Aware Markov Decision Process Contingency Management Autonomy for Uncrewed Aircraft Systems
Cooperative Mission Planning Using Rollout Policy Optimization
Autonomous Small Body Science Operations Using Reinforcement Learning
Wire Databases Generation Using Deep Learning Methods for Rotorcraft Wire Strike Prevention
Leveraging Machine Learning to Improve Adaptive Primitive-Based Motion Planning
Small-Data-Driven Multitask Computational Guidance for Constrained Impact
Deep-Learning Framework for Terminal Airspace Trajectory Prediction and In-Time Prognostics
Semi-Supervised Active Learning for Anomaly Detection in Aviation
Introduction to the Virtual Collection on Machine Learning in Aerospace
Edge-Enhanced Attentions for Drone Delivery in Presence of Winds and Recharging Stations