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Risk-Aware Markov Decision Process Contingency Management Autonomy for Uncrewed Aircraft Systems
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
Coordinating Team Tactics for Swarm-Versus-Swarm Adversarial Games
Benchmarking Deep Learning Models on Myriad and Snapdragon Processors for Space Applications