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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
Deep-Learning Framework for Terminal Airspace Trajectory Prediction and In-Time Prognostics