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Predicting Cognitive States Using Machine Learning Fusion Paradigms to Reduce Model Uncertainty
Learning from All Operations – Expanding the Field of Vision to Improve Aviation Safety
1d-Convolutional Neural Network Architecture for Generalized Time-Segmentation Tasks
Collision Avoidance Approach Using Deep Reinforcement Learning
Learning from All Operations – Expanding the Field of Vision to Improve Aviation Safety
1D-Convolutional Neural Network Architecture for Generalized Time-Segmentation Tasks
1D-Convolutional Neural Network Architecture for Generalized Time-Segmentation Tasks
Collision Avoidance Approach Using Deep Reinforcement Learning
Celestial Mapping System and Digital Lunar Library Initiative
Route-Recapturing State-Based Horizontal Maneuver Strategy for Automated Detect-and-Avoid
Artificial Intelligence Enhancements to Imagery for Space Operations
Distributed Learning for Complex Policies
Problems in Machine Learning-Based Systems for Safety-Critical Avionics