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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
Semi-Supervised Active Learning for Anomaly Detection in Aviation
Introduction to the Virtual Collection on Machine Learning in Aerospace
Coordinating Team Tactics for Swarm-Versus-Swarm Adversarial Games
Benchmarking Deep Learning Models on Myriad and Snapdragon Processors for Space Applications
Edge-Enhanced Attentions for Drone Delivery in Presence of Winds and Recharging Stations
Data-Driven Approach Toward Airspace Design for Regional Air Mobility Operations in Korea
Data-Driven Hazard Avoidance Landing of Parafoil: A Deep Reinforcement Learning Approach
Selecting Minimal Motion Primitive Libraries with Genetic Algorithms